Abstract
In order to achieve diagnostically useful CT (computed tomography) images of the moving heart, the standard image reconstruction has to be modified to a phase-correlated reconstruction, which considers the motion phase of the heart and generates a quasi-static image in one defined motion phase. For that purpose a synchronization signal is needed, typically a concurrent ECG recording. Commonly, the reconstruction phase is adapted by the user to the patient-specific heart motion to improve the image quality and thus the diagnostic value. The purpose of our work is to automatically identify the optimal reconstruction phase for cardiac CT imaging with respect to motion artifacts. We provide a solution for a patient- and heart rate-independent detection of the optimal phase in the cardiac cycle which shows a minimum of cardiac movement. We validated our method by the correlation with the reconstruction phase selected visually on the basis of ECG-triggering and used for the medical diagnosis. The mean difference between both reconstruction phases was 12.5 % with respect to a whole cardiac motion cycle indicating a high correlation. Additionally, reconstructed cardiac images are shown which confirm the results expressed by the correlation measurement and in some cases even indicating an improvement using the proposed method.
Chapter PDF
Similar content being viewed by others
References
DeMan, B., Edic, P., Basu, S.: An iterative algorithm for time-solved reconstruction of a CT scan of a beating heart. In: The Eighth International Meeting on Fully Three-dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 356–359 (2005)
Kachelrieß, M., Kalender, W.A.: Electrocardiogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart. Medical Physics 25, 2417–2431 (1998)
Kachelrieß, M., Ulzheimer, S., Kalender, W.A.: ECG-correlated image reconstruction from subsecond multi-slice spiral CT scans of the heart. Medical Physics 27, 1881–1902 (2000)
Kubo, H., Hill, B.: Respiratory gated radiotherapy treatment: A technical study. Physics in Medicine and Biology 41, 83–91 (1996)
Bruder, H., Maguet, E., Stierstorfer, K., Flohr, T.: Cardiac spiral imaging in Computed Tomography without ECG using complementary projections for motion detection. In: Proc. SPIE (2003)
Kachelrieß, M., Sennst, D.A., Maxlmoser, W., Kalender, W.A.: Kymogram detection and kymogram-correlated image reconstruction from subsecond spiral computed tomography scans of the heart. Medical Physics 29 (2002)
Kalender, W.A., Kachelrieß, M.: Computertomograph mit objektbezogener Bewegungsartefaktreduktion und Extraktion der Objektbewegungsinformation (Kymogramm) (1999), European Patent Office, Patent pending, Patent Nr.: 99111708.6 - 1522
Achenbach, S., Ropers, D., Holle, J., Muschiol, G., Daniel, W.G., Moshage, W.: In-Plane Coronary Arterial Motion Velocity: Measurement with Electron-Beam CT. Radiology 216, 457–463 (2000)
Shanneik, K., Kachelrieß, M., Kalender, W.A.: Heart Rate Dependency of Image Quality Using Multi-segment Reconstruction Algorithms. In: Supplement to Radiology, Radiological Society of North America. 479 RSNA 2005 conference proceedings (2005)
Manzke, R., Köhler, T., Nielsen, T., Hawkes, D., Grass, M.: Automatic phase determination for retrospectively gated cardiac CT. Medical Physics 31 (2004)
Kachelrieß, M., Knaup, M., Kalender, W.A.: Phase-correlated imaging from multi-threaded spiral cone-beam CT scans of the heart. In: Proceedings of the 8th International Meeting on Fully 3D Image Reconstruction, pp. 159–162 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ertel, D. et al. (2006). Rawdata-Based Detection of the Optimal Reconstruction Phase in ECG-Gated Cardiac Image Reconstruction. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866763_43
Download citation
DOI: https://doi.org/10.1007/11866763_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44727-6
Online ISBN: 978-3-540-44728-3
eBook Packages: Computer ScienceComputer Science (R0)