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Proceedings Paper

Soft-tissue imaging in low-dose, C-arm cone-beam CT using statistical image reconstruction
Author(s): Adam S. Wang; Sebastian Schafer; J. Webster Stayman; Yoshi Otake; Marc S. Sussman; A. Jay Khanna; Gary L. Gallia; Jeffrey H. Siewerdsen
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Paper Abstract

C-arm cone-beam CT is an emerging tool for intraoperative imaging, but currently exhibits modest soft-tissue imaging capability. This work adapts a spectrum of statistical iterative reconstruction approaches to C-arm CBCT and investigates performance in imaging of low-contrast tasks pertinent to soft-tissue surgical guidance. Experiments involved a mobile C-arm and phantoms and cadavers presenting soft-tissue structures imaged using 3D FBP and penalized likelihood reconstruction. Statistical reconstruction - especially non-quadratic PL - boosted soft-tissue image quality through reduction of noise and artifacts, therefore presenting promise for interventional imaging. Further investigation of task-specific performance may overcome conventional tradeoffs in noise, resolution, and dose.

Paper Details

Date Published: 19 March 2013
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86681F (19 March 2013); doi: 10.1117/12.2008421
Show Author Affiliations
Adam S. Wang, Johns Hopkins Medical Institute (United States)
Sebastian Schafer, Johns Hopkins Medical Institute (United States)
J. Webster Stayman, Johns Hopkins Medical Institute (United States)
Yoshi Otake, Johns Hopkins Medical Institute (United States)
Marc S. Sussman, Johns Hopkins Medical Institute (United States)
A. Jay Khanna, Johns Hopkins Medical Institute (United States)
Gary L. Gallia, Johns Hopkins Univ. (United States)
Jeffrey H. Siewerdsen, Johns Hopkins Medical Institute (United States)


Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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