Deblurring in digital tomosynthesis by iterative self-layer subtraction

Hanbean Youn; Jee Young Kim; SunYoung Jang; Min Kook Cho; Seungryong Cho; Ho Kyung Kim

doi:10.1117/12.844137

23 March 2010 Deblurring in digital tomosynthesis by iterative self-layer subtraction

Hanbean Youn, Jee Young Kim, SunYoung Jang, Min Kook Cho, Seungryong Cho, Ho Kyung Kim

Proceedings Volume 7622, Medical Imaging 2010: Physics of Medical Imaging; 76225J (2010) https://doi.org/10.1117/12.844137
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

Citation Download Citation

Hanbean Youn, Jee Young Kim, SunYoung Jang, Min Kook Cho, Seungryong Cho, and 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); https://doi.org/10.1117/12.844137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available