Optimization-based image reconstruction with artifact reduction in C-arm CBCT.
We investigate an optimization-based reconstruction, with an emphasis on image-artifact reduction, from data collected in C-arm cone-beam computed tomography (CBCT) employed in image-guided interventional procedures. In the study, an image to be reconstructed is formulated as a solution to a convex optimization program in which a weighted data divergence is minimized subject to a constraint on the image total variation (TV); a data-derivative fidelity is introduced in the program specifically for effectively suppressing dominant, low-frequency data artifact caused by, e.g. data truncation; and the Chambolle-Pock (CP) algorithm is tailored to reconstruct an image through solving the program. Like any other reconstructions, the optimization-based reconstruction considered depends upon numerous parameters. We elucidate the parameters, illustrate their determination, and demonstrate their impact on the reconstruction. The optimization-based reconstruction, when applied to data collected from swine and patient subjects, yields images with visibly reduced artifacts in contrast to the reference reconstruction, and it also appears to exhibit a high degree of robustness against distinctively different anatomies of imaged subjects and scanning conditions of clinical significance. Knowledge and insights gained in the study may be exploited for aiding in the design of practical reconstructions of truly clinical-application utility.
Department of Radiology, The University of Chicago, Chicago, IL, USA.
Dan
D
Xia
David A
DA
Langan
Stephen B
SB
Solomon
Zheng
Z
Zhang
Buxin
B
Chen
Hao
H
Lai
Emil Y
EY
Sidky
Xiaochuan
X
Pan
D000465:Algorithms; D000818:Animals; D016477:Artifacts; D054893:Cone-Beam Computed Tomography / Q000295:instrumentation*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008107:Liver Diseases / Q000000981:diagnostic imaging / Q000473:pathology; D019047:Phantoms, Imaging; D013552:Swine
IEEE J Transl Eng Health Med. 2014 Jun 30;2:
25401059
Med Phys. 2006 Oct;33(10):3767-80
17089842
Radiology. 2010 Dec;257(3):624-40
21084414
Radiology. 2013 Feb;266(2):636-48
23143027
Med Phys. 2000 Jan;27(1):39-46
10659736
Acad Radiol. 2014 Mar;21(3):393-9
24507426
Cardiovasc Intervent Radiol. 2014 Apr;37(2):388-95
23775550
J Vasc Interv Radiol. 2010 Mar;21(3):339-47
20133156
IEEE Trans Med Imaging. 2012 Mar;31(3):677-88
22084046
Phys Med Biol. 2012 Aug 21;57(16):5245-73
22850194
AJR Am J Roentgenol. 2008 Apr;190(4):W263-9
18356419
Med Phys. 2015 Sep;42(9):5222-37
26328972
Med Phys. 2013 Mar;40(3):031107
23464287
Cardiovasc Intervent Radiol. 2010 Dec;33(6):1235-42
20390271
Med Phys. 2004 Sep;31(9):2385-91
15487717
Eur Radiol. 2011 Mar;21(3):627-35
21053003
Phys Med Biol. 2008 Sep 7;53(17):4777-807
18701771
J Med Imaging (Bellingham). 2014 Oct 3;1(3):031007
25685824
Med Phys. 2010 Jul;37(7):3844-54
20831092
Cardiovasc Intervent Radiol. 2016 Jan;39(1):8-20
26178776
Radiology. 2010 Nov;257(2):373-83
20829535
Med Phys. 2011 Aug;38(8):4563-74
21928628
Phys Med Biol. 2013 Jan 21;58(2):205-30
23257068
Radiol Med. 2014 Jul;119(7):521-32
25012472
Inverse Probl. 2009 Jan 1;25(12):1230009
20376330
Phys Med Biol. 2011 Jan 7;56(1):39-56
21119229
AJR Am J Roentgenol. 2010 May;194(5):W452-4
20410393
Eur Radiol. 2011 Dec;21(12):2521-6
21822785
Phys Med Biol. 2012 May 21;57(10):3065-91
22538474
J Vasc Interv Radiol. 2009 May;20(5):606-13
19345589
Eur Radiol. 2005 May;15(5):1008-14
15702338
Brachytherapy. 2005;4(1):18-23
15737902
Radiology. 2015 Dec;277(3):833-41
26000642
IEEE Trans Med Imaging. 2009 Feb;28(2):250-60
19188112
Phys Med Biol. 2014 Jun 7;59(11):2659-85
24786683
Phys Med Biol. 2015 Jun 21;60(12):4601-33
26020490
Med Phys. 2010 Oct;37(10):5482-93
21089784
Radiology. 1987 Aug;164(2):576-7
3602406
Phys Med Biol. 2014 Jul 21;59(14):3861-75
24957596
Radiology. 2013 Jan;266(1):197-206
23169793
Radiology. 2015 Feb;274(2):320-34
25625741