Information theoretic discrepancy-based iterative reconstruction (IDIR) algorithm for limited angle tomography

Kwang Eun Jang; Jongha Lee; Kangui Lee; Younghun Sung; SeungDeok Lee

doi:10.1117/12.912277

3 March 2012 Information theoretic discrepancy-based iterative reconstruction (IDIR) algorithm for limited angle tomography

Kwang Eun Jang, Jongha Lee, Kangui Lee, Younghun Sung, SeungDeok Lee

Author Affiliations +

Proceedings Volume 8313, Medical Imaging 2012: Physics of Medical Imaging; 83134Y (2012) https://doi.org/10.1117/12.912277
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

The X-ray tomosynthesis that measures several low dose projections over a limited angular range has been investigated as an alternative method of X-ray mammography for breast cancer screening. An extension of the scan coverage increases the vertical resolution by mitigating the interplane blurring. The implementation of a wide angle tomosynthesis equipment, however, may not be straightforward, mainly due to the image deterioration from the statistical noise in exterior projections. In this paper, we adopt the voltage modulation scheme to enlarge the coverage of the tomosynthesis scan. The higher tube voltages are used for outer angles, which offers the sufficient penetrating power for outlying frames in which the pathway of X-ray photons is elongated. To reconstruct 3D information from voltage modulated projections, we propose a novel algorithm, named information theoretic discrepancy based iterative reconstruction (IDIR) algorithm, which allows to account for the polychromatic acquisition model. The generalized information theoretic discrepancy (GID) is newly employed as the objective function. Using particular features of the GID, the cost function is derived in terms of imaginary variables with energy dependency, which leads to a tractable optimization problem without using the monochromatic approximation. In preliminary experiments using simulated and experimental equipment, the proposed imaging architecture and IDIR algorithm showed superior performances over conventional approaches.

Citation Download Citation

Kwang Eun Jang, Jongha Lee, Kangui Lee, Younghun Sung, and SeungDeok Lee "Information theoretic discrepancy-based iterative reconstruction (IDIR) algorithm for limited angle tomography", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83134Y (3 March 2012); https://doi.org/10.1117/12.912277

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