An EM-like optimization scheme for diffuse optical tomography

Caifang Wang; Ming Jiang

doi:10.1117/12.794140

5 September 2008 An EM-like optimization scheme for diffuse optical tomography

Caifang Wang, Ming Jiang

Proceedings Volume 7076, Image Reconstruction from Incomplete Data V; 707608 (2008) https://doi.org/10.1117/12.794140
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

Diffuse Optical Tomography (DOT) is a functional medical imaging modality which can determine the spatial optical parameters' distributions inside a medium. The forward model of DOT is described by the diffusion approximation of radiative transform equation (RTE) while the DOT is to recover optical parameters of a medium from the boundary measurements induced by external near-infared (NIR) light. In this paper, we propose a mathematic model of DOT and then give a novel iterative reconstruction method of the proposed model. The new iterative reconstruction method is based on the assumption that the measurement noise is Poissonian while previous iterative reconstruction methods are mostly base on the assumption that the measurement noise is Gaussian, and are of least-squares type. The proposed algorithm is a variant of the well-known EM algorithm. It can also be used to deal with the incomplete boundary measurements. The performance of the reconstruction algorithm including spatial resolution and contrast are investigated with 2-dimensional numerical experiments.

Citation Download Citation

Caifang Wang and Ming Jiang "An EM-like optimization scheme for diffuse optical tomography", Proc. SPIE 7076, Image Reconstruction from Incomplete Data V, 707608 (5 September 2008); https://doi.org/10.1117/12.794140

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