Hybrid algorithm of maximum-likelihood expectation-maximization and multiplicative algebraic reconstruction technique for iterative tomographic image reconstruction

Ryosuke Kasai; Yusaku Yamaguchi; Takeshi Kojima; Tetsuya Yoshinaga

doi:10.1117/12.2521185

22 March 2019 Hybrid algorithm of maximum-likelihood expectation-maximization and multiplicative algebraic reconstruction technique for iterative tomographic image reconstruction

Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, Tetsuya Yoshinaga

Author Affiliations +

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110491F (2019) https://doi.org/10.1117/12.2521185
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Maximum-likelihood expectation-maximization (ML-EM) method and multiplicative algebraic reconstruction technique (MART), which are well-known iterative image reconstruction algorithms, produce relatively highquality performance but each of which has an advantage and disadvantage. In this paper, in order to compensate for both disadvantages, we present a novel iterative algorithm constructed by a nonautonomous iterative system derived from the minimization of an α-skew Kullback–Leibler divergence, which is considered as a combined objective function for ML-EM and MART. We confirmed effectiveness of the proposed hybrid method through numerical experiments.

Citation Download Citation

Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, and Tetsuya Yoshinaga "Hybrid algorithm of maximum-likelihood expectation-maximization and multiplicative algebraic reconstruction technique for iterative tomographic image reconstruction", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110491F (22 March 2019); https://doi.org/10.1117/12.2521185

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