Evaluating popular non-linear image processing filters for their use in regularized iterative CT

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2010, Pages 2864-2865

  Xu, Wei ^a   Mueller, Klaus ^a  

^a Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSED SENSING; IMAGE PROCESSING FILTERS; ITERATIVE RECONSTRUCTION; LOW DOSE; NOISE ARTIFACTS; NON-LINEAR; NONLINEAR FILTER;

COMPUTERIZED TOMOGRAPHY; GAMMA RAYS; IMAGE PROCESSING; IMAGING SYSTEMS; NUCLEAR PHYSICS;

MEDICAL IMAGING;

EID: 79960332173     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2010.5874318     Document Type: Conference Paper

References (6)

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2. A. Chambolle, "An Algorithm for Total Variation Minimizations and Applications," J. Math. Imaging Vis., vol. 20(1-2), pp. 89-97, 2004.
3. P. Choudhury, J. Tumblin, "The Trilateral Filter for High Contrast Images and Meshes," EG Symp. on Rendering, pp. 186-196, 2003.
4. C. Tomasi, R. Manduchi, "Bilateral Filtering for Gray and Color Images," Proc. Sixth Int'l Conf. Comp. Vision, pp. 839-846, Jan. 1998.
5. F. Xu, W. Xu and Klaus Mueller, "On the Efficiency of Iterative Ordered Subset Reconstruction Algorithms for Acceleration on GPUs", Computer Methods and Programs in Biomedicine, 2010 (in press).
6. W. Xu, K. Mueller, "A Performance-Driven Study of Regularization Methods for GPU-Accelerated Iterative CT," Proc. 10th Int'l Meeting on Fully 3D Image Recon. in Rad. and Nuc. Med, pp. 20-23, Sep. 2009.