DocumentCode :
1510644
Title :
3D Forward and Back-Projection for X-Ray CT Using Separable Footprints
Author :
Long, Yong ; Fessler, Jeffrey A. ; Balter, James M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Volume :
29
Issue :
11
fYear :
2010
Firstpage :
1839
Lastpage :
1850
Abstract :
Iterative methods for 3D image reconstruction have the potential to improve image quality over conventional filtered back projection (FBP) in X-ray computed tomography (CT). However, the computation burden of 3D cone-beam forward and back-projectors is one of the greatest challenges facing practical adoption of iterative methods for X-ray CT. Moreover, projector accuracy is also important for iterative methods. This paper describes two new separable footprint (SF) projector methods that approximate the voxel footprint functions as 2D separable functions. Because of the separability of these footprint functions, calculating their integrals over a detector cell is greatly simplified and can be implemented efficiently. The SF-TR projector uses trapezoid functions in the transaxial direction and rectangular functions in the axial direction, whereas the SF-TT projector uses trapezoid functions in both directions. Simulations and experiments showed that both SF projector methods are more accurate than the distance-driven (DD) projector, which is a current state-of-the-art method in the field. The SF-TT projector is more accurate than the SF-TR projector for rays associated with large cone angles. The SF-TR projector has similar computation speed with the DD projector and the SF-TT projector is about two times slower.
Keywords :
computerised tomography; diagnostic radiography; image reconstruction; iterative methods; medical image processing; 3D back-projection; 3D forward projection; 3D image reconstruction; SF-TR projector; SF-TT projector; X-ray CT; X-ray computed tomography; distance-driven projector; iterative methods; separable footprints; Argon; Computed tomography; Detectors; Image quality; Image reconstruction; Iterative methods; Permission; Postal services; Reconstruction algorithms; USA Councils; Cone-beam tomography; forward and back-projection; iterative tomographic image reconstruction; Algorithms; Artificial Intelligence; Imaging, Three-Dimensional; Pattern Recognition, Automated; Phantoms, Imaging; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2010.2050898
Filename :
5482021
Link To Document :
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