Hsieh, 2000 - Google Patents
A practical cone beam artifact correction algorithmHsieh, 2000
- Document ID
- 13709217957832399081
- Author
- Hsieh J
- Publication year
- Publication venue
- 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No. 00CH37149)
External Links
Snippet
Cone beam reconstruction has been the focus of many studies. One of the most widely referenced and used algorithms for a circular trajectory is the Feldkamp algorithm. The advantage of the algorithm is its simplicity of implementation, efficiency in computation, and …
- 238000004422 calculation algorithm 0 title abstract description 44
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
- G06T5/002—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Thibault et al. | A three‐dimensional statistical approach to improved image quality for multislice helical CT | |
US5909476A (en) | Iterative process for reconstructing cone-beam tomographic images | |
CN102013089B (en) | Iterative CT image filter for noise reduction | |
Hsieh | Adaptive streak artifact reduction in computed tomography resulting from excessive x‐ray photon noise | |
US5241471A (en) | Method of multi-scale reconstruction of the image of the structure of a body at an increased speed | |
JP4152649B2 (en) | Method and apparatus for CT scout image processing | |
US7623691B2 (en) | Method for helical windmill artifact reduction with noise restoration for helical multislice CT | |
JP4576032B2 (en) | Method and apparatus for two-pass cone beam image reconstruction | |
US7340027B2 (en) | Metal artifact correction in computed tomography | |
CN102270350B (en) | In conjunction with the iteration CT image reconstruction of four-dimensional noise filter | |
Zeng et al. | A study of reconstruction artifacts in cone beam tomography using filtered backprojection and iterative EM algorithms | |
US5606585A (en) | Methods and apparatus for multislice helical image reconstruction in a computer tomography system | |
JP2005522305A (en) | General-purpose filter-corrected backprojection reconstruction in digital tomosynthesis | |
US5400377A (en) | Artifact reduction method for tomographic image reconstruction using cross-plane rays | |
JPH09182746A (en) | System for intensifying original image data | |
US7050527B2 (en) | Methods and apparatus for artifact reduction in cone beam CT image reconstruction | |
JP2001519192A (en) | Scanning Target Detection for Computer Tomography | |
US7983462B2 (en) | Methods and systems for improving quality of an image | |
Hsieh | A practical cone beam artifact correction algorithm | |
Hahn et al. | A comparison of linear interpolation models for iterative CT reconstruction | |
JPH0375045A (en) | Ct data compensation for object outside visual field of regenerated image | |
US7206440B2 (en) | Image smoothing with decoupled regularization | |
Hsieh | Tomographic reconstruction for tilted helical multislice CT | |
JP2002034970A (en) | Method and device for spiral reconstitution in multi-slice ct scan | |
US6647084B1 (en) | Method and apparatus for filtering projection data of a helical scan |