A decomposition-based CT reconstruction formulation for reducing blooming artifacts

Physics in Medicine and Biology

Volumn 56, Issue 22, 2011, Pages 7109-7125

  Do, Synho ^a   Karl, W Clem ^b   Liang, Zhuangli ^c   Kalra, Mannudeep ^a   Brady, Thomas J ^a   Pien, Homer H ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b Boston University   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC-COMPUTED TOMOGRAPHY; CORONARY VESSEL; CT RECONSTRUCTION; EX-VIVO; IN-VIVO; ITERATIVE RECONSTRUCTION; NON-INVASIVE IMAGING; OVER-ESTIMATION; PENALTY FUNCTION; SOFT TISSUE;

CALCIUM; TISSUE; TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

CALCIUM;

ARTICLE; ARTIFACT; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HEART; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; METABOLISM; METHODOLOGY; RADIOGRAPHY;

ARTIFACTS; CALCIUM; COMPUTER SIMULATION; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80155175818     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/22/008     Document Type: Article

References (34)

1. Achenbach S 2006 Computed tomography coronary angiography J. Am. Coll. Cardiol. 48 1919-28 (Pubitemid 44738433)
2. Alkadhi H et al 2008 Dual-source computed tomography coronary angiography: influence of obesity, calcium load, and heart rate on diagnostic accuracy Eur. Heart J. 29 766-76 (Pubitemid 351431025)
3. Barrett J F and Keat N 2004 Artifacts in CT: recognition and avoidance Radiographics 24 1679-91
4. Bertalmio M, Vese L, Sapiro G and Osher S 2003 Simultaneous structure and texture image inpainting IEEE Trans. Image Process. 12 882-9
5. Chan T F and Mulet P 1999 On the convergence of the lagged diffusivity fixed point method in total variation image restoration SIAM J. Numer. Anal. 36 354-67 (Pubitemid 129582569)
6. Chow B J, Joseph P, Yam Y, Kass M, Chen L, Beanlands R S and Ruddy T D 2010 Usefulness of computed tomographic coronary angiography in patients with acute chest pain with and without high-risk features Am. Coll. Cardiol. 106 463-9
7. Dick E T 2008 A survey of CT phantom considerations for the study of blooming artifacts as observed in CT coronary angiography studies: a preliminary study MS Thesis University of Cincinnati
8. Do S, Cho S, Karl W C, Kalra M K, Brady T J and Pien H 2009 Accurate model-based high resolution cardiac image reconstruction in dual-source CT IEEE Int. Symp. on Biomedical Imaging, ISBI'09 pp 330-5
9. Donoho D L 1993 Superresolution via sparsity constraints SIAM J. Math. Anal. 23 1309-31
10. Donoho D L, Johnstone I M, Hoch J C and Stern A S 1992 Maximum entropy and the nearly black object J. R. Stat. Soc. B54 41-81
11. Golub G H, Heath M and Wahba G 1979 Generalized cross-validation as a method for choosing a good ridge parameter Technometrics 21 215-23
12. Hoffmann U et al 2006 Coronary multidetector computed tomography in the assessment of patients with acute chest pain Circulation 114 2251-60 (Pubitemid 44801488)
13. Hoffmann U et al 2009 Coronary computed tomography angiography for early triage of patients with acute chest pain: the ROMICAT (rule out myocardial infarction using computer assisted tomography) trial J. Am. Coll. Cardiol. 53 1642-50
14. Jang B, Kaeli D, Do S and Pien H 2009 Multi GPU implementation of iterative tomographic reconstruction algorithms IEEE Int. Symp. on Biomedical Imaging, ISBI'09 pp 185-8
15. Kak A C and Slaney M 2001 Principles of Computerized Tomographic Imaging (Philadelphia, PA: Society of Industrial and Applied Mathematics)
16. Kilmer M E and O'Leary D P 2001 Choosing regularization parameters in iterative methods for ill-posed problems SIAM J. Matrix Anal. Appl. 22 1204-21
17. Li T, Li X, Wang J, Wen J, Lu H, Hsieh J and Liang Z 2004 Nonlinear sinogram smoothing for low-dose x-ray CT IEEE Trans. Nucl. Sci. 51 2505-13
18. Liang Z 2009 Calcium artifact analysis and multi-component-based mitigation in cardiac multi-detector computed tomography PhD Thesis Boston University
19. Liang Z, Do S, Karl W C, Brady T and Pien H 2008 Cardiac CT artifact mitigation through decomposition-based image reconstruction Proc. SPIE 6913 X1-11
20. Lu H, Hsiao I, Li X and Liang Z 2001 Noise properties of low-dose CT projections and noise treatment by scale transformations Conf. Rec. IEEE NSS-MIC 3 1662-6
21. Pan X, Sidky E Y and Vannier M 2009 Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction? Inverse Problems 25 1-36
22. Poon M 2006 Technology insight: cardiac CT angiography Nat. Clin. Pract. Cardiovasc. Med. 3 265-75
23. Rollano-Hijarrubia E, van der Meer F, van der Lugt A, Weinans H, Vrooman H, Vossepoel A and Stokking R 2005 Improving the imaging of calcifications in CT by histogram-based selective deblurring Proc. SPIE 5745 67-78 (Pubitemid 41146356)
24. Sarwar A et al 2008 Calcified plaque: measurement of area at thin-section flat-panel CT and 64-section multidetector CT and comparison with histopathologic findings Radiology 249 301-6
25. Siddon R L 1985 Fast calculation of the exact radiological path for a three-dimensional CT array Med. Phys. 12 252
26. Thilo C, Auler M, Zwerner P, Costello P and Schoepf U J 2007 Coronary CTA: indications, patient selection, and clinical implications J. Thorac. Imaging 22 35-9 (Pubitemid 46673155)
27. van Straten M, Venema H W, Streekstra G J, Reekers J A, den Heeten G J and Grimbergen C A 2003 Removal of arterial wall calcifications in CT angiography by local subtraction Med. Phys. 307 61-70
28. Vogel C R 1996 Non-convergence of the L-curve regularization parameter selection method Inverse Problems 12 535-47 (Pubitemid 126655737)
29. Vogel C R and Oman M E 1996 Iterative methods for total variation denoising SIAM J. Sci. Comput. 17 227-38 (Pubitemid 126621162)
30. Voros S et al 2011 Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study JACC Cardiovasc. Interv. 4 198-208
31. Wang G, Vannier M W, Skinner M W, Cavalcanti M G P and Harding G W 1998 Spiral CT image deblurring for cochlear implantation IEEE Trans. Med. Imaging 17 251-62 (Pubitemid 128747678)
32. Watzke O and Kalender W A 2004 A pragmatic approach to metal artifact reduction in CT: merging of metal artifact reduced images Eur. Radiol. 14 849-56 (Pubitemid 38678906)
33. Wei J K, Sandison G A, Chen L G, Liang Y and Xu L X 2002 X-ray CT high-density artifact suppression in cryosurgery Phys. Med. Biol. 47 N319-26
34. Whiting B R, Massoumzadeh P, Earl O A, O'sullivan J A, Snyder D L and Williamson J F 2006 Properties of preprocessed sinogram data in x-ray computed tomography Med. Phys. 33 3290-302