Toward ideal imaging geometry for recovery independence in fluorescence molecular tomography

Robert W. Holt; Frederic Leblond; Brian W. Pogue

doi:10.1117/12.2004870

13 March 2013 Toward ideal imaging geometry for recovery independence in fluorescence molecular tomography

Robert W. Holt, Frederic Leblond, Brian W. Pogue

Proceedings Volume 8574, Multimodal Biomedical Imaging VIII; 857403 (2013) https://doi.org/10.1117/12.2004870
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

An established challenge with fluorescence molecular tomography is inconsistent accuracy in quantifying recovered fluorescent contrast with changes in target depth. This work examines the idea that through optimization of the source and detector placement more consistent contrast could be recovered regardless of imaging depth. A simulation study was performed to examine distributions of optical projection measurements result in a uniform summed sensitivity function, showing that half-reflectance and transmission measurements are the most important for accurate and consistent target recovery as a function of depth. As a corollary to the importance of uniform summed sensitivity, translation modulated reconstructions are shown to provide improvements in fluorescence tomography.

Citation Download Citation

Robert W. Holt, Frederic Leblond, and Brian W. Pogue "Toward ideal imaging geometry for recovery independence in fluorescence molecular tomography", Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 857403 (13 March 2013); https://doi.org/10.1117/12.2004870

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