23 March 2010 Deblurring in digital tomosynthesis by iterative self-layer subtraction
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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.
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Hanbean Youn, Hanbean Youn, Jee Young Kim, Jee Young Kim, SunYoung Jang, SunYoung Jang, Min Kook Cho, Min Kook Cho, Seungryong Cho, Seungryong Cho, Ho Kyung Kim, Ho Kyung Kim, } "Deblurring in digital tomosynthesis by iterative self-layer subtraction", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76225J (23 March 2010); doi: 10.1117/12.844137; https://doi.org/10.1117/12.844137
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