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Proceedings Paper

Deblurring in digital tomosynthesis by iterative self-layer subtraction
Author(s): Hanbean Youn; Jee Young Kim; SunYoung Jang; Min Kook Cho; Seungryong Cho; Ho Kyung Kim
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Paper Abstract

Recent developments in large-area flat-panel detectors have made tomosynthesis technology revisited in multiplanar xray imaging. However, the typical shift-and-add (SAA) or backprojection reconstruction method is notably claimed by a lack of sharpness in the reconstructed images because of blur artifact which is the superposition of objects which are out of planes. In this study, we have devised an intuitive simple method to reduce the blur artifact based on an iterative approach. This method repeats a forward and backward projection procedure to determine the blur artifact affecting on the plane-of-interest (POI), and then subtracts it from the POI. The proposed method does not include any Fourierdomain operations hence excluding the Fourier-domain-originated artifacts. We describe the concept of the self-layer subtractive tomosynthesis and demonstrate its performance with numerical simulation and experiments. Comparative analysis with the conventional methods, such as the SAA and filtered backprojection methods, is addressed.

Paper Details

Date Published: 23 March 2010
PDF: 7 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76225J (23 March 2010); doi: 10.1117/12.844137
Show Author Affiliations
Hanbean Youn, Pusan National Univ. (Korea, Republic of)
Jee Young Kim, Pusan National Univ. (Korea, Republic of)
SunYoung Jang, Pusan National Univ. (Korea, Republic of)
Min Kook Cho, Pusan National Univ. (Korea, Republic of)
National Cancer Ctr. (Korea, Republic of)
Seungryong Cho, The Univ. of Chicago (United States)
Ho Kyung Kim, Pusan National Univ. (Korea, Republic of)

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

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