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Proceedings Paper

Ultra-high spatial resolution multi-energy CT using photon counting detector technology
Author(s): S. Leng; R. Gutjahr; A. Ferrero; S. Kappler; A. Henning; A. Halaweish; W. Zhou; J. Montoya; C. McCollough
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Paper Abstract

Two ultra-high-resolution (UHR) imaging modes, each with two energy thresholds, were implemented on a research, whole-body photon-counting-detector (PCD) CT scanner, referred to as sharp and UHR, respectively. The UHR mode has a pixel size of 0.25 mm at iso-center for both energy thresholds, with a collimation of 32 × 0.25 mm. The sharp mode has a 0.25 mm pixel for the low-energy threshold and 0.5 mm for the high-energy threshold, with a collimation of 48 × 0.25 mm. Kidney stones with mixed mineral composition and lung nodules with different shapes were scanned using both modes, and with the standard imaging mode, referred to as macro mode (0.5 mm pixel and 32 × 0.5 mm collimation). Evaluation and comparison of the three modes focused on the ability to accurately delineate anatomic structures using the high-spatial resolution capability and the ability to quantify stone composition using the multi-energy capability. The low-energy threshold images of the sharp and UHR modes showed better shape and texture information due to the achieved higher spatial resolution, although noise was also higher. No noticeable benefit was shown in multi-energy analysis using UHR compared to standard resolution (macro mode) when standard doses were used. This was due to excessive noise in the higher resolution images. However, UHR scans at higher dose showed improvement in multi-energy analysis over macro mode with regular dose. To fully take advantage of the higher spatial resolution in multi-energy analysis, either increased radiation dose, or application of noise reduction techniques, is needed.

Paper Details

Date Published: 9 March 2017
PDF: 7 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101320Y (9 March 2017); doi: 10.1117/12.2255589
Show Author Affiliations
S. Leng, Mayo Clinic (United States)
R. Gutjahr, Technical Univ. of Munich (Germany)
Siemens Healthineers (Germany)
A. Ferrero, Mayo Clinic (United States)
S. Kappler, Siemens Healthineers (Germany)
A. Henning, Siemens Healthineers (Germany)
A. Halaweish, Siemens Healthcare (United States)
W. Zhou, Mayo Clinic (United States)
J. Montoya, Mayo Clinic (United States)
C. McCollough, Mayo Clinic (United States)

Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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