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Proceedings Paper

Improvements in low contrast detectability with iterative reconstruction and the effect of slice thickness
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Paper Abstract

Iterative reconstruction has become a popular route for dose reduction in CT scans. One method for assessing the dose reduction of iterative reconstruction is to use a low contrast detectability phantom. The apparent improvement in detectability can be very large on these phantoms, with many studies showing dose reduction in excess of 50%. In this work, we show that much of the advantage of iterative reconstruction in this context can be explained by differences in slice thickness. After adjusting the effective reconstruction kernel by blurring filtered backprojection images to match the shape of the noise power spectrum of iterative reconstruction, we produce thick slices and compare the two reconstruction algorithms. The remaining improvement from iterative reconstruction, at least in scans with relatively uniform statistics in the raw data, is significantly reduced. Hence, the effective slice thickness in iterative reconstruction may be larger than that of filtered backprojection, explaining some of the improvement in image quality.

Paper Details

Date Published: 9 March 2017
PDF: 5 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013253 (9 March 2017); doi: 10.1117/12.2253937
Show Author Affiliations
Scott S. Hsieh, Stanford Univ. (United States)
Univ. of California, Los Angeles (United States)
Norbert J. Pelc, Stanford Univ. (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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