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Evaluation of Image Registration in PET/CT of
the Liver and Recommendations for Optimized
Imaging
Wouter V. Vogel1, Jorn A. van Dalen1, Bas Wiering2, Henkjan Huisman3, Frans H.M. Corstens1, Theo J.M. Ruers2, and
Wim J.G. Oyen1
1Department of Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands; 2Department of Surgery,
Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands; and 3Department of Radiology, Radboud University
Nijmegen Medical Center, Nijmegen, The Netherlands
Key Words: PET; PET/CT; accuracy; liver imaging; oncology
Multimodality PET/CT of the liver can be performed with an integrated (hybrid) PET/CT scanner or with software fusion of dedicated PET and CT. Accurate anatomic correlation and good
image quality of both modalities are important prerequisites, regardless of the applied method. Registration accuracy is influenced by breathing motion differences on PET and CT, which
may also have impact on (attenuation correction–related) artifacts, especially in the upper abdomen. The impact of these issues was evaluated for both hybrid PET/CT and software
fusion, focused on imaging of the liver. Methods: Thirty patients
underwent hybrid PET/CT, 20 with CT during expiration breathhold (EB) and 10 with CT during free breathing (FB). Ten additional patients underwent software fusion of dedicated PET
and dedicated expiration breath-hold CT (SF). The image registration accuracy was evaluated at the location of liver borders
on CT and uncorrected PET images and at the location of liver
lesions. Attenuation-correction artifacts were evaluated by
comparison of liver borders on uncorrected and attenuationcorrected PET images. CT images were evaluated for the presence of breathing artifacts. Results: In EB, 40% of patients
had an absolute registration error of the diaphragm in the craniocaudal direction of .1 cm (range, 216 to 44 mm), and 45% of
lesions were mispositioned .1 cm. In 50% of cases, attenuationcorrection artifacts caused a deformation of the liver dome on
PET of .1 cm. Poor compliance to breath-hold instructions
caused CT artifacts in 55% of cases. In FB, 30% had registration
errors of .1 cm (range, 24 to 16 mm) and PET artifacts were less
extensive, but all CT images had breathing artifacts. As SF allows
independent alignment of PET and CT, no registration errors or
artifacts of .1 cm of the diaphragm occurred. Conclusion: Hybrid PET/CT of the liver may have significant registration errors
and artifacts related to breathing motion. The extent of these issues depends on the selected breathing protocol and the speed
of the CT scanner. No protocol or scanner can guarantee perfect
image fusion. On the basis of these findings, recommendations
were formulated with regard to scanner requirements, breathing
protocols, and reporting.
Received Sep. 21, 2006; revision accepted Mar. 9, 2007.
For correspondence or reprints contact: Wouter V. Vogel, MD, Department
of Nuclear Medicine (565), Radboud University Nijmegen Medical Center,
Postbox 9101, 6500 HB Nijmegen, The Netherlands.
E-mail: w.vogel@nucmed.umcn.nl
COPYRIGHT ª 2007 by the Society of Nuclear Medicine, Inc.
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J Nucl Med 2007; 48:910–919
DOI: 10.2967/jnumed.107.041517
A
ccurate imaging of liver metastases is important for
clinical decision making when considering locoregional
therapy, such as partial liver resection or radiofrequency
ablation (1,2). These interventions rely on accurate information about the localization and the extent of tumor sites
(3,4). The added value of functional imaging with 18F-FDG
PET to conventional anatomic imaging (CT, especially, and
MRI) has been well recognized, especially when assessing
previous therapeutic interventions (5,6). However, the exact
localization of lesions on 18F-FDG PET is limited by a
relatively low spatial resolution and a lack of anatomic
reference. The obvious benefit of combining the capabilities of CT (anatomic reference) and 18F-FDG PET (sensitive tumor detection) has led to the practice of correlation
of images as obtained by PET and by CT (7–9). Correlation
can be performed with mere visual side-by-side evaluation
of images acquired by separate scanners or with integrated
images provided by either an integrated (hybrid) PET/CT
scanner or software image fusion of dedicated PET and CT
(10). Regardless of the methodology, the anatomic correlation of both image sets must be accurate. This implies that
the liver needs to be in the same anatomic position and
shape during both CT and PET acquisitions. However, CT
and PET are influenced differently by breathing motion. As
free breathing is mandatory for PET acquisition, PET has
blurring in the lower thoracic and upper abdominal areas.
CT acquisition must be adapted to match these images, by
scanning during free breathing or timed unforced expiration
(10), but neither approach fully eliminates the risk of registration errors between PET and CT (11,12). Furthermore,
these registration errors can introduce artifacts on PET
images in hybrid PET/CT, where attenuation correction of
PET images is based on the CT images. Such artifacts may
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compromise both clinical interpretation and quantitative evaluation of PET images (13).
Diagnostic imaging requires optimal image quality. In
this study, we determined the extent of anatomic registration
errors and the occurrence of artifacts in hybrid PET/CT of
the liver using a robust technique, during different breathing
protocols, and performed a direct comparison with software
image fusion of separately acquired PET and CT. According to our findings, recommendations were formulated with
regard to scanner requirements, breathing protocols, and reporting.
MATERIALS AND METHODS
Integrated PET/CT images were acquired with 3 different protocols. Twenty consecutive patients with suspected metastases from
colorectal cancer underwent hybrid PET/CT with low-dose CT
during expiration breath-hold (EB). Ten other consecutive patients
(March 2006), who were referred for various indications and who
were unable to comply with breathing instructions for various
reasons, underwent hybrid PET/CT with low-dose CT during free
breathing (FB). Ten more consecutive patients (between December 2002 and November 2003) with suspected metastases from
colorectal carcinoma underwent software fusion of dedicated PET
and dedicated diagnostic CT acquired during breath-hold (SF).
Image Acquisition
Hybrid PET/CT scans were acquired using a Biograph Duo
(Siemens Medical Solutions USA, Inc.) containing a 2-slice CT
scanner. A low-dose CT scan for localization and attenuationcorrection purposes was acquired in the caudocranial direction
from the thighs to the base of the skull. Scanning parameters included 40 mAs, 130 kV, 5-mm slice collimation, 0.8-s rotation
time, and pitch of 1.5, reconstructed to 3-mm slices for smooth
coronal representation. CT scans were acquired during timed unforced expiration breath-hold (EB) or during free breathing (FB).
Timed expiration breath-hold consisted of free breathing during
the first (caudal) part of the scan, a deep inspiration command at
the level of the spina iliaca superior, immediately followed by a
command to expire and breath-hold; patients were allowed to resume free breathing at the level of the lung tops. The total expiration breath-hold time was about 30 s. Free breathing was performed
without specific patient instructions. No intravenous contrast was
applied. For PET, a 3-dimensional (3D) emission scan of the central body was acquired during free breathing, 60 min after intravenous injection of 250 MBq 18F-FDG. The acquisition time per
bed position was 4 min for emission only. Uncorrected emission
images as well as images with CT-based attenuation correction
were reconstructed, both using 2 iterations, 8 subsets, and a 5-mm
3D gaussian filter. Dedicated 18F-FDG PET scans were acquired
using an ECAT Exact 47 scanner (Siemens Medical Solutions). A
3D emission scan was acquired and reconstructed identical to PET
from PET/CT. In addition, a 2-dimensional 68Ge-based transmission scan was acquired for attenuation correction. The acquisition
time per bed position was 5 min for emission and 3 min for the
transmission. Dedicated CT scans were acquired using a Somatom
Volume Zoom (Siemens Medical Solutions) 4-slice scanner. Scans
of the liver were acquired with 80 mAs, 130 kV, 0.5-s rotation time,
and 5-mm slice thickness, during unforced expiration breath-hold.
Intravenous contrast was applied; the portal-phase images were
selected for image fusion with PET.
Image Registration Procedure
For hybrid PET/CT, normal image registration quality-assurance
procedures were followed as described by the manufacturer. This
involved alignment of the PET and CT gantries after maintenance,
using a ‘‘crossed-lines’’ phantom. No additional image registration
optimization was performed after scanning. Software image registration was performed on a personal computer with image viewing and registration software, developed in-house, based on the
visualization toolkit VTK (14) and the insight segmentation and
registration toolkit ITK (15). The procedure has been described in
more detail previously (16). In brief, the software allows rigidbody image registration based on 3 translation and 3 rotation
parameters. Anatomic registration of PET emission images to CT
was pursued using an implementation of the automatic mutual
information algorithm, on a 3D volume of interest containing the
liver.
Image Analysis
Image sets from PET and CT were correlated through evaluation of borders of the liver and focal lesions within the liver.
Mismatches of .10 mm were considered potentially clinically
relevant. Mismatches of focal lesions were expressed as 3D vectors. For liver borders, this approach is not possible, because a
unidirectional shift of a liver border may be complicated by a
(unrecognizable) deformation or rotation that alters the location
that represents the top. Selected for landmarks were the tangent
points (tops) of 3 liver borders: the diaphragmatic dome, the right
liver border, and the caudal tip. 3D ellipsoids were manually
positioned to match the curved shapes of the liver borders (Fig. 1);
the locations of the tangent points were then derived mathematically. Mismatches were expressed as 1-dimensional distances along
the axis of the largest movement (e.g., the craniocaudal direction
for the diaphragmatic dome and the caudal tip of the liver; the lateral direction for the right lateral liver border). This procedure was
performed separately on CT, uncorrected (uPET), and attenuationcorrected (acPET) images, blinded from each other.
The localization of liver borders is difficult on uPET and acPET,
as the images are blurry. The selected visual cutoff for positioning
of a border may be different for uPET and acPET images. The
observer-specific systematic bias between localization of liver borders on uPET and acPET was determined by comparing images
from dedicated PET, where the position of the liver is theoretically
identical on both image sets. The true position of the liver border
was assumed to be between the visual localizations on uPET and
acPET. All uPET and acPET measurements were corrected afterward for this bias, using the average measurement difference from
the theoretic position. The interobserver variability for manual determination of positional differences of tangent points, after correction
of the systematic bias, was evaluated in 5 subsequent dedicated
PET scans (both uPET and acPET) by 2 experienced observers.
Definitions. CT images, uPET images, and acPET images were
evaluated for image registration errors, attenuation-correction artifacts, and the visual discernibility of these errors.
• Registration errors: The relative anatomic/positional mismatch of structures (either circumscript lesions or organ borders) as visible on uPET and CT images, expressed as a distance
in millimeters.
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FIGURE 1. Localization of liver borders.
Coronal slices of CT (A), attenuationcorrected PET (B), and uncorrected PET
(C) of a single patient, acquired with hybrid PET/CT during expiration breath-hold.
Circles represent slices through 3D ellipsoids that were mapped to diaphragmatic
dome (green), right lateral border (blue),
and caudal tip (red) to determine differences in their respective positions.
• Attenuation-correction artifacts: Contour changes of structures as visible on PET images before and after attenuation
correction—that is, a difference of liver border positions between uPET and acPET images, expressed as a distance in
millimeters.
• Visible errors: Mismatch of visible structures (either circumscript lesions or organ borders) between acPET and CT images, representing the extent to which the combination of
registration errors and attenuation-correction errors can be
recognized and appreciated on acPET images, expressed as a
distance in millimeters.
Analyzed Parameters.
• Registration errors of liver borders: The error in local image
registration was determined for the 3 liver borders separately,
for all EB, FB, and SF images. Differences in image registration between imaging techniques were evaluated using the
Bartlett test for equality of variances (level of significance,
0.05).
• Registration errors of liver lesions: Focal lesions were evaluated using CT and acPET images, for EB and SF. Lesions
were considered evaluable when the center could be identified on both CT and acPET. This analysis was not possible on
free-breathing CT images, as breathing motion artifacts on
CT prevented reliable determination of the center of lesions.
The interobserver variation in manual localization of lesion
centers on CT and acPET was evaluated for 5 subsequent
lesions on CT and acPET by 2 experienced observers.
• Attenuation-correction artifacts: The extent of attenuationcorrection artifacts on PET was evaluated for all liver borders, for EB, FB, and SF. The apparent position of the liver
borders (tangent points) was determined before and after attenuation correction (i.e., on uPET and acPET images, respectively), similar to the evaluation of registration errors.
Differences in the extent of attenuation-correction artifacts
between protocols were evaluated using the Bartlett test for
equality of variances (level of significance, 0.05).
• Visible errors on acPET: The extent to which the combination
of localization errors and attenuation-correction errors, as
detected previously, were discernible on acPET was evaluated
for all liver borders, by comparing acPET and CT in an approach similar to that used for the assessment of registration
errors. This analysis was performed for EB, FB, and SF.
• Breathing artifacts on CT: Artifacts caused by breathing
motion may be depicted on CT images as locoregional deformities of the liver (i.e., breath-hold not sustained) or as
deformities throughout the liver (i.e., free breathing). The
presence of both types of artifacts was evaluated visually for
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all CT images. Qualitative analysis of these artifacts was not
attempted.
RESULTS
All FB scans, SF scans, and all registration procedures
were performed without problems. Of the 20 EB patients,
11 patients did not fully comply with an adequate breathhold during CT acquisition of the whole liver range. This
was visible on CT images as various artifacts; a more detailed evaluation is provided below. Therefore, the original
EB group (EBall) was divided into 9 patients with adequate
breath-hold (EBadequate) and 11 patients with inadequate
breath-hold (EBfailed) for additional separate analysis.
Registration Errors of Liver Borders
The average absolute interobserver variability in determination of liver border position differences on uPET and
acPET, measured in 1 direction, was 2 mm (range, 23 to 4
mm; SD, 3 mm) for the diaphragmatic dome, 2 mm (range,
23 to 2 mm; SD, 2 mm) for the right lateral border, and
2 mm (range, 24 to 3 mm; SD, 3 mm) for the caudal tip.
For EBall, the average absolute image registration error
at the diaphragmatic dome of the liver in the craniocaudal
direction was 11 mm (relative range, 216 to 144 mm in
40% of cases . 10 mm). Visual inspection revealed that the
largest errors were caused by expiration during breath-hold
CT that was not deep enough. For the caudal tip of the liver,
the average error was 19 mm (range, 0–53 mm in 55% of
cases . 10 mm). Registration errors were all ,10 mm at
the right lateral liver border and were ,10 mm at all liver
borders in the FB and SF protocols. The image registration
errors of FB and SF at the locations of the diaphragmatic
dome and caudal tip were significantly less than those of
EBall (P , 0.05). SF did not perform significantly better
than FB at the location of all liver borders. The results are
listed in more detail in Table 1. The distribution of registration errors peracquisition protocol is represented in Figure 2.
The image registration at the diaphragmatic dome in
breath-hold PET/CT was not significantly influenced by the
adequacy of the breath-hold instructions during CT (error .
10 mm in 44% of EBadequate and in 36% of EBfailed; not
significant). Conversely, the registration of the caudal tip of
the liver appeared to be influenced by the success of the
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TABLE 1
Extent of Registration Errors and Attenuation-Correction Artifacts
Registration errors
Breathing
protocol
EB
FB
SF
Measured
landmark
Diaphragmatic dome
R lateral border
Caudal tip
Individual liver lesions
Diaphragmatic dome
R lateral border
Caudal tip
Individual liver lesions
Diaphragmatic dome
R lateral border
Caudal tip
Individual liver lesions
Measurement
direction
z-axis
x-axis
z-axis
3D vector
z-axis
x-axis
z-axis
3D vector
z-axis
x-axis
z-axis
3D vector
Range
(mm)
216
28
23
3
24
24
25
to
to
to
to
to
to
to
44
8
53
24
16
7
20
23
21
23
7
to
to
to
to
8
9
12
14
Attenuation-correction artifacts
Absolute
mean (mm)
Range
(mm)
Absolute mean
(mm)
11
5
19
11
7
3
9
NA
3
3
5
9
218 to 41
24 to 10
26 to 4
11
2
2
NA
6
2
2
NA
3
1
2
NA
27 to 11
24 to 4
24 to 4
23 to 5
22 to 2
23 to 4
NA 5 not applicable.
breath-hold procedure: error . 10 mm in 33% of EBadequate
and in 73% of EBfailed. However, due to the sample size,
this difference did not reach statistical significance. When
EBall was limited to EBadequate, there was no difference with
FB in the diaphragmatic dome. This illustrates that using a
faster CT scanner (with more likely successful completion
of the breath-hold instructions) does not improve image registration in general, except in the region of the caudal tip
where instructions tend to be executed when using a slow
CT scanner.
being displaced .10 mm. There were insufficient evaluable
lesions for separate analysis of EBadequate and EBfailed. For
SF, the average displacement of 5 detected lesions was 9
mm (range, 7–14 mm), with 1 lesion displaced .10 mm.
Because of the limited number of evaluable lesions, statistical comparison of EB and SF was not performed. An
example of a displaced lesion on hybrid PET/CT during EB
is shown in Figure 3.
Attenuation-Correction Artifacts
Registration Errors of Liver Lesions
The average interobserver variability in localization of
focal liver lesions, measured as a 3D vector, was 2 mm (range,
1–3 mm) on CT and 1 mm (range, 0–2 mm) on acPET.
For EBall, the average displacement of 11 detected lesions was 11 mm (range, 3–24 mm), with 5 lesions (45%)
FIGURE 2. Image registration errors of liver borders. Relative
image registration errors at location of several liver borders for
EB (hybrid PET/CT with breath-hold CT), FB (hybrid PET/CT
with free-breathing CT), and SF (software fusion of dedicated
PET and CT). Registration errors occur primarily in craniocaudal
direction (diaphragm and caudal tip affected most) because of
insufficient expiration during CT.
For EBall, the average size of attenuation artifacts at the
diaphragmatic liver dome in the craniocaudal direction was
11 mm (range, 0–41 mm; in 50% of cases .10 mm) and
was congruent with local registration errors (Fig. 4). Visual
inspection again revealed that the largest artifacts were
due to expiration that was not deep enough during breathhold CT. The occurrence of clinically relevant attenuationcorrection artifacts at the diaphragmatic dome did not
depend on whether the patient successfully completed the
CT breath-hold instructions (error .10 mm in 45% of
EBadequate and in 56% of EBfailed; not significant). This illustrates that the artifacts are unavoidable, even when using
a fast CT scanner. An example of liver deformation due to
attenuation correction in breath-hold hybrid PET/CT is
shown in Figure 5.
For FB, the average attenuation artifact at the diaphragmatic liver dome measured 6 mm (range, 0–11 mm; 20%
.10 mm), both in the cranial and caudal direction. For SF,
attenuation-correction artifacts of the liver are theoretically
not an issue. Control measurements at the diaphragmatic
dome showed an average absolute error of 3 mm (range, 0–
8 mm; thus, in all patients within 10 mm).
For all EB, FB, and SF cases, no significant attenuationcorrection artifacts occurred at the lateral border or the caudal tip.
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FIGURE 3. Misregistration of a liver lesion on breath-hold PET/CT. Transverse
(left) and coronal (right) images of large
liver metastasis in hybrid PET/CT with
breath-hold CT. Center of lesion is marked
with red cross on CT and with blue cross
on PET. Positioning differences of liver
between PET and CT acquisition resulted
in mismatch of 13 mm, measured as a 3D
vector.
The extent of attenuation-correction artifacts at the diaphragmatic dome was significantly worse in EBall than in
FB or SF (P , 0.05). When EBall was limited to EBadequate,
the difference with FB in the diaphragmatic dome was not
significant. FB was significantly worse than SF (P , 0.05).
No clinically relevant attenuation-correction errors occurred
at the right lateral border and the caudal tip with either
technique.
Visible Errors on acPET
At the locations of the diaphragm and the right lateral
liver border, no cases showed a visually discernible mismatch of .10 mm at the liver border between acPET and
CT—for all EB, FB, and SF images—regardless of the
presence of registration or attenuation-correction artifacts
of .10 mm. Visually discernible errors were seen at the
location of the caudal tip in all image series, with values
similar to the local image registration error.
Breathing Artifacts on CT
In EBall, locoregional breathing artifacts in the liver were
detected on the CT images of 4 patients (20%), all attributable to breathing motion during acquisition despite instructions to hold the breath. Furthermore, the caudal tip of
the right liver lobe appeared displaced or deformed in 7
additional patients (35%), all attributable to the breathing
instructions given when approaching the region of the liver
in the caudocranial scanning direction. In FB, free-breathing
artifacts were discernible throughout the images for all
patients. No breathing artifacts were detected in the CT
images used for SF. Examples of breathing artifacts on CT
are shown in Figure 6. The clinically relevant (.10 mm)
breathing artifacts on CT are summarized in Table 2.
DISCUSSION
FIGURE 4. Errors at diaphragmatic dome. Extent of image
registration errors and attenuation-correction artifacts of .10
mm was comparable at location of diaphragmatic dome of liver
for EB (hybrid PET/CT with breath-hold CT), FB (hybrid PET/CT
with free-breathing CT), and SF (software fusion of dedicated
PET and CT).
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The results of these investigations illustrate that in the
current implementation of integrated PET/CT, there is always a significant risk of clinically relevant registration errors and attenuation-correction errors when imaging the liver.
The extent of these errors cannot be seen on PET images
that have been corrected for photon attenuation using CT;
this has implications for reviewing.
Some remarks must be made with regard to the accuracy
of the performed measurements. Evaluation of PET/CT image
registration and artifacts of the liver is not trivial, because
the organ lacks well-defined, clearly discernible landmarks
on PET. Evaluations are limited to liver borders and, if
present, focal lesions within the liver. Evaluation of liver
borders is restricted to those areas with sufficient contrast to
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FIGURE 5. PET/CT attenuation-correction artifacts. Hybrid PET/CT of large liver metastasis with central necrosis, with CT
acquired during expiration breath-hold: coronal slices of CT (A), uncorrected PET (B), attenuation-corrected PET (C), and fused
corrected PET with CT (D). Despite breathing instructions, comparison of A and B reveals a difference in diaphragm position
between CT and PET acquisition. C and D demonstrate change in shape of liver on PET after attenuation correction, to falsely
match CT. Liver metastasis appears partially in lung on corrected images and results from severe loss of signal intensity in region of
mismatch.
surrounding tissues in uncorrected PET images, limiting the
evaluations to the diaphragmatic dome, the right lateral
border, and the caudal tip of the liver. Comparison of border
localizations is complicated, as liver borders appear different on uPET and acPET. For example, on acPET the level
of the diaphragm shows a sharp transition from low to high
uptake (lungs to liver), whereas uPET shows a transition
from medium intensity in the lungs to depth-dependent variable intensity in the liver. Correction of observer-specific
differences in determination of the position of the liver border on such images was based on the hypothesis that the
real position of the liver border was at the mathematic middle of the measurements, which is merely an approximation.
Despite correction of any systematic bias, manual localization of liver borders and focal lesions can never be perfect. Uncertainties are caused by the limited spatial and
contrast resolution of PET and by interpretation difficulties
on uPET images in general. Mapping of 3D ellipsoids to the
liver border may reduce sampling errors to some extent but
cannot fully eliminate them. Different observers may choose
different points of the liver for the top, because of the sometimes irregular shape of the organ. Therefore, the interobserver variability measurements were restricted to comparison
of positional differences rather than positions of liver borders, thus eliminating the variable choice of the top as a
factor. Despite these considerations, the measured interobserver variabilities were all well within acceptable ranges
(2 mm on average between uPET and acPET, for all borders).
Obviously, measurement of the available landmarks (3
borders in 1 direction each and a limited number of focal
lesions) represents a simplification of the real situation. Only
basic liver displacement will be detected, whereas local deformation and organ rotation are neglected. This leads to
the conclusion that the observed misregistrations in this study
may represent an underestimation rather than an overestimation and, thus, may be interpreted as an estimation of the
minimal errors that occur.
The 10-mm limit for clinically relevant deviations was
based on the detection limit of 18F-FDG PET for small liver
lesions, which has been estimated in the range of 10 mm
(17). Thus, misregistration needs to be more than ;10 mm
to cause uncertainty in discrimination of 2 adjacent small
structures. This does not imply that all cases with registration errors of .10 mm will lead to misinterpretations, but
awareness of the (possible) extent of misregistration may
help to avoid reading errors.
The 3 studied groups were not identical, both in cohort
size (i.e., BH, n 5 20; FB, n 5 10; SF, n 5 10) and in inclusion criteria (i.e., suspected liver metastases from colorectal
carcinoma for BH and SF vs. various indications for FB).
FIGURE 6. Breathing artifacts on CT:
CT slices from different patients, acquired on hybrid PET/CT scanner. (A)
Coronal slice of CT acquired with expiration breath-hold command. Arrows
indicate artifact in middle of liver and
spleen due to unsustained breath-hold.
(B) Sagittal slice of CT acquired with
expiration breath-hold command.
Breathing commands were given relatively late and can be recognized by
movement of abdominal wall (left
arrow); resulting liver motion causes
caudal tip of liver to appear twice (right arrow). (C) Coronal slice of CT acquired during free breathing. Breathing artifacts
(arrows) are visible throughout image.
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TABLE 2
Errors and Artifacts of .10 mm
Hybrid PET/CT
EB CT
Errors and artifacts
Artifacts on CT
Breath-hold not sustained
Breath-hold timing issues
Free-breathing artifacts
Image registration errors . 1 cm
Diaphragmatic dome
Right lateral border
Caudal tip
Individual liver lesions
Attenuation-correction artifacts on PET . 1 cm
Diaphragmatic dome
Right lateral border
Caudal tip
FB CT
Affected cases
%
Affected cases
3/20
5/20
0/20
20
33
—
0/10
0/10
10/10
8/20
0/20
11/20
5/11
40
0
55
45
10/20
0/20
0/20
50
0
0
SF image
%
Affected cases
%
—
—
100
0/10
0/10
0/10
0
0
—
3/10
0/10
4/10
—
30
0
40
—
0/10
0/10
2/10
1/5
0
0
20
20
2/10
0/10
0/10
20
0
0
0/10
0/10
0/10
0
0
0
These differences were caused by logistical issues (e.g., availability of techniques and patients), and the impact of the
selection criteria on the breathing patterns of patients seems
limited.
artifacts cannot be eliminated entirely. Thus, with regard to
CT artifacts, both breath-hold and free-breathing techniques
have disadvantages, and both will benefit from a faster CT
scanner.
Breathing Artifacts on CT
Image Registration
Maintaining unforced expiration breath-hold is easily
underestimated. The procedure is demanding and needs to
be rehearsed before scanning. Even so, some patients will
fail to sustain a breath-hold during actual scanning, causing
CT artifacts (in 20% of cases in our series). Completion of a
CT scan during breath-hold cannot be guaranteed, especially when scanning elderly or diseased patients. This problem is obviously related to the acquisition time for CT during
whole-body scanning, as was illustrated by the absence of
artifacts on the CT images that were acquired with a fast
dedicated CT scanner (for SF). Another issue is the timing
of breathing instructions: 33% of cases showed deformation
of the caudal part of the liver, related to the deep inspiration
command when approaching the midabdomen. An earlier
breath-hold command would result in an increased risk on
breathing artifacts toward the end of the scan, in the upper
lung fields. Increasing the speed of the CT acquisition
would imply thicker slices for our CT scanner, thus further
degrading the quality of the low-dose CT images. This issue
can be avoided by performing a separate acquisition of the
liver range, as exemplified by the lack of artifacts due to the
breathing protocol in SF.
As expected, the alternative strategy of free superficial
breathing resulted in slight CT artifacts throughout the liver
(11). In the lungs, this effect caused small lung nodules to
be missed in up to 34% of cases (18). It is unknown how
this translates to imaging of the liver, but such a level of
missed diagnosis will not be acceptable for correlative imaging. A faster CT scanner will result in free-breathing artifacts with a lower frequency in the images, but these
During the breath-hold, the exact position of the diaphragm cannot be instructed or predicted, not even in an
ideal situation (i.e., with a fast CT scanner, accurate breathhold instructions, and an exemplary patient). Furthermore,
the shape of the diaphragm may differ from free breathing
as during PET acquisition, because a breath-hold generates
different muscle tension. This implies that differences in
position and shape of the liver between PET and breathhold CT may be unavoidable. Our results confirm that registration errors of the liver are not uncommon and are rather
unpredictable in extent. Misregistrations occurred primarily
in the craniocaudal direction and, in most cases, were explained by insufficient expiration during the breath-hold.
Deeper expiration could not be applied, because it would
increase the risk of nonsustained breath-hold. Even in cases
where the compliance to breath-hold instructions was perfect, registration errors of .10 mm could occur, although
the average extent of misregistration appeared lower. This
may raise questions about our implementation of breathhold instructions. Breath-hold protocols have been evaluated
previously by Goerres et al. (19). They concluded that the
best breathing protocol is unforced expiration breath-hold,
as performed in our study, and confirmed that the impact on
image registration can still be severe (relative registration
errors of –25 to 119 mm vs. –16 to 144 mm in our
series). Brechtel et al. have reported better values for image
registration at the diaphragm, but these data seem biased
because evaluation was limited to acPET images only (20).
Free breathing during CT resulted in registration errors
comparable to the BH protocol (.10 mm in 30% and 40%
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of cases, respectively), but the maximum extent of misregistration was much lower (16 and 44 mm, respectively). The
extent of misregistration was congruent with normal liver
motion during free breathing as shown by Brandner et al.
(21). Nakamoto et al. (22) observed even slightly worse results at the location of the right diaphragmatic dome, with
38% misregistration of .10 mm and even 10% of cases with
misregistration of .20 mm (30% and 0%, respectively, in
our study), with artifacts that may influence the position,
shape, and apparent size of the liver on PET. Osman et al.
demonstrated moderate-to-severe attenuation-correction artifacts in 18% of cases at the right diaphragmatic dome, although quantitative analysis was not performed (23). They
also observed that correlation errors of liver lesions may
occur, incidentally even with erroneous localization in lung
instead of liver, albeit in a limited number of cases (24).
Papathanassiou et al. have confirmed that lesions may be
missed in liver parts that were affected by CT-based attenuation correction (25). The extent of misregistration is
theoretically not dependent on the speed of the CT scanner
because it ‘‘catches’’ the diaphragm at a random point in
the breathing cycle, but this could not be evaluated in this
study.
Software fusion resulted in significantly lower registration errors of both the liver, as a whole, and liver lesions.
This raises the question whether such optimization of
image registration and uncompromised PET image quality
are possible in hybrid PET/CT. When organ-focused image
registration is performed with uPET and CT images,
followed by the attenuation-correction procedure, the result
should be similar to SF. However, current hybrid PET/CT
scanners do not provide such options. Software fusion is
not ideal for high-throughput imaging, but remains useful
when hybrid PET/CT is not available or for specific situations.
PET Attenuation-Correction Artifacts
Given the risk on registration errors, hybrid PET/CT with
CT-based attenuation correction introduces an additional risk
for artifacts on PET images. Attenuation correction will be
applied erroneously on PET at the location of dense objects
(26,27) or where the position of a transition from low to
high photon-attenuating tissue does not correspond on PET
and CT (13,22). The diaphragmatic area is very susceptible
to such errors due to the sharp tissue/air transition, combined with the risk for positional differences. This may result
in an apparent contour change of the liver on acPET images
and reduced sensitivity for lesions in the affected area. On
top of that, the PET signal will no longer be quantitative in
the regions of attenuation-correction artifacts, which may
compromise follow-up measurements.
In our series of EB imaging, deformation of the liver on
acPET images was not uncommon and was rather unpredictable. The potential clinical impact is underlined by the
presence of artifacts of .10 mm in 50% of cases. In FB,
attenuation-correction artifacts were significantly less ex-
tensive but still occurred in 20% of cases with .10 mm.
These problems must be considered unavoidable as long as
registration errors occur and attenuation correction is performed with CT images. Dedicated PET does not readily
have attenuation-correction artifacts, because the attenuation profile is measured using photons with energy identical
to that of emission scanning, acquired during the same breathing pattern. No significant artifacts were detected in our
series of dedicated PET images.
This leaves room for improvement of hybrid PET/CT
image quality by reintroduction of 511-keV transmission
imaging, although this will have no impact on image registration. Development of faster and higher-quality transmission scanning—for example, simultaneous with emission
scanning (28)—is eagerly awaited and is likely to prove at
least as beneficial in hybrid PET/CT as the implementation
of faster CT scanners.
Selection of a Breathing Protocol
Overall, free-breathing hybrid PET/CT performs somewhat better at image registration and artifacts but has poorer
image correlation due to free-breathing artifacts and missing lesions on CT. Nevertheless, both approaches have been
found suitable for diagnostic correlative imaging (29). When
considering a breath-hold or a free-breathing hybrid PET/
CT protocol, it is important to realize that registration errors
and attenuation-correction artifacts in breath-hold PET/CT
can be recognized and circumvented afterward by adequate
evaluation of uPET images, whereas missing small lesions
on free-breathing CT is definitive. The final choice of technique may be guided by specific clinical questions, available
equipment, individual patient characteristics, and personal
preferences.
Alternative CT acquisition protocols all have disadvantages. Slow-CT, averaged cine-CT, and averaged multipleseries CT (as applied in external beam radiation therapy
planning) may all severely degrade the image quality. Gated
CT acquisition may provide excellent correlative imaging,
at least when PET is acquired in gating identical to that of
CT (30). Further experiments with such techniques need to
be conducted.
Other PET radiopharmaceuticals for imaging of malignancy
in the liver are likely to become available in the coming
years. The presence of registration errors and attenuationcorrection artifacts in PET/CT is independent of the PET
tracer, but misregistrations will be more difficult to detect
for tracers with low or no uptake in normal liver tissue. This
illustrates the importance of optimized imaging and reviewing, especially for imaging of novel tracers in the near
future.
The combination of PET with MRI may be preferable
over PET/CT—for better soft-tissue imaging characteristics
and fewer radiation dose issues—but breathing issues will
remain an issue. Current MRI techniques do not allow wholebody imaging during breath-hold, and free breathing during
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TABLE 3
Recommendations for Optimal PET/CT and Reviewing Recommendations to Achieve Optimal Diagnostic Quality and
Interpretation of Multimodality PET/CT of Liver
Category
Recommendations
Scanner requirements
PET/CT image acquisition
Reviewing PET/CT
When hybrid PET/CT with CT in expiration breath-hold is needed, a fast CT scanner (i.e., more than
dual slice) is preferable to avoid breath-hold compliance issues.
When hybrid PET/CT with fast CT is available, expiration breath-hold CT may be preferable over
free-breathing CT (no missed lesions and no artifacts on CT, whereas image registration and
artifacts are not worse than that in free breathing).
When hybrid PET/CT with slow CT is available, the choice between expiration breath-hold and
free-breathing CT (for nondiagnostic use) is unsettled and depends on personal preference (i.e.,
more serious registration errors with breath-hold CT but increased risk on missed lesions on
free-breathing CT).
Patient motion during or between image acquisitions may be limited by instructions and fixation
materials.
Both expiration breath-hold and free-breathing protocols imply a trade-off between PET image
quality, CT image quality, and patient comfort, and selection of a technique can be based on
personal preference.
When expiration breath-hold is to be performed, rehearsal of breathing instructions is advised
before actual scanning, to avoid serious misregistration and artifacts. Revert to free breathing
when breath-hold fails during rehearsal.
Performance of PET/CT with breath-hold CT may be improved by providing feedback about image
registration errors to operating personnel.
When reliable correlative imaging of PET and CT images without artifacts is needed on an incidental
basis, software fusion of dedicated PET and diagnostic CT can still be considered.
Awareness of level of misregistration and attenuation-correction artifacts can be improved by
systematic reviewing of all uncorrected PET, corrected PET, and CT images.
Uncorrected PET images may reveal small lesions that may be undetectable or misplaced on
corrected PET images, in diaphragmatic area of liver and lower lung fields.
Unexplained PET lesions that show no correlating abnormalities on CT (e.g., free breathing,
noncontrast-enhanced or low-dose) may be resolved by correlation with separate diagnostic,
contrast-enhanced CT images.
Most recommendations will also apply to whole-body imaging with PET/CT.
MRI can severely distort the images. The best approach to
hybrid PET/MRI is still unclear.
CONCLUSION
Anatomic registration errors of the liver in PET/CT may
be significant, occurring primarily in the craniocaudal direction, due to breathing differences during acquisition of PET
and CT, and cause subsequent attenuation-correction artifacts at the diaphragmatic dome. The extent of these errors
cannot be appreciated visually on PET images that have been
corrected for photon attenuation.
Breathing protocols for CT influence these issues, but no
protocol can warrant perfect image registration and artifactfree images. Free-breathing PET/CT is a little less subject
to these errors than breath-hold PET/CT but has unavoidable breathing artifacts throughout CT images. The choice
of a breathing protocol remains a matter of personal preference. In any protocol, a faster CT scanner will reduce, but
not eliminate, the chance on artifacts.
Awareness of the level of misregistration and attenuationcorrection artifacts is essential for reviewing and can be
improved by consequent correlation of uncorrected PET
and CT images. Furthermore, uncorrected PET images may
allow detection of small lesions that became invisible or
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misplaced on corrected PET images, in the diaphragmatic
area of the liver and the lower lung fields. On the basis of
these conclusions, recommendations were formulated for optimal imaging and reviewing of integrated PET/CT (Table 3).
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Evaluation of Image Registration in PET/CT of the Liver and Recommendations for
Optimized Imaging
Wouter V. Vogel, Jorn A. van Dalen, Bas Wiering, Henkjan Huisman, Frans H.M. Corstens, Theo J.M. Ruers and Wim
J.G. Oyen
J Nucl Med. 2007;48:910-919.
Published online: May 15, 2007.
Doi: 10.2967/jnumed.107.041517
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