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Proceedings Paper

Effective atomic number accuracy for kidney stone characterization using spectral CT
Author(s): M. Joshi; D. A. Langan; D. S. Sahani; A. Kambadakone; S. Aluri; K. Procknow; X. Wu; R. Bhotika; D. Okerlund; N. Kulkarni; D. Xu
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Paper Abstract

The clinical application of Gemstone Spectral ImagingTM, a fast kV switching dual energy acquisition, is explored in the context of noninvasive kidney stone characterization. Utilizing projection-based material decomposition, effective atomic number and monochromatic images are generated for kidney stone characterization. Analytical and experimental measurements are reported and contrasted. Phantoms were constructed using stone specimens extracted from patients. This allowed for imaging of the different stone types under similar conditions. The stone specimens comprised of Uric Acid, Cystine, Struvite and Calcium-based compositions. Collectively, these stone types span an effective atomic number range of approximately 7 to 14. While Uric Acid and Calcium based stones are generally distinguishable in conventional CT, stone compositions like Cystine and Struvite are difficult to distinguish resulting in treatment uncertainty. Experimental phantom measurements, made under increasingly complex imaging conditions, illustrate the impact of various factors on measurement accuracy. Preliminary clinical studies are reported.

Paper Details

Date Published: 22 March 2010
PDF: 12 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76223K (22 March 2010); doi: 10.1117/12.844372
Show Author Affiliations
M. Joshi, GE Healthcare (United States)
D. A. Langan, GE Global Research (United States)
D. S. Sahani, Massachusetts General Hospital (United States)
A. Kambadakone, Massachusetts General Hospital (United States)
S. Aluri, GE Healthcare (United States)
K. Procknow, GE Healthcare (United States)
X. Wu, GE Global Research (United States)
R. Bhotika, GE Global Research (United States)
D. Okerlund, GE Healthcare (United States)
N. Kulkarni, Massachusetts General Hospital (United States)
D. Xu, GE Global Research (United States)

Published in SPIE Proceedings Vol. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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