Optimizing single-projection linear tomographic optical breast imaging

Lai Wang; Quan Zhang; Thomas J. Brukilacchio; David A. Boas

doi:10.1117/12.434519

29 June 2001 Optimizing single-projection linear tomographic optical breast imaging

Lai Wang, Quan Zhang, Thomas J. Brukilacchio, David A. Boas

Proceedings Volume 4250, Optical Tomography and Spectroscopy of Tissue IV; (2001) https://doi.org/10.1117/12.434519
Event: BiOS 2001 The International Symposium on Biomedical Optics, 2001, San Jose, CA, United States

Abstract

Optimization of the systems and reconstruction techniques is important for good optical breast imaging. Quantitative and objective assessments of the quality of the reconstructed image and the detection sensitivity are required to optimize single projection optical imaging. In this paper, the detection sensitivity was estimated by the contrast to noise ratio, and the quality of an image is evaluated using resolution, image noise, positional error, and quantitative accuracy. The expressions of these evaluating parameters were set up and analyzed by simulation. Using the quantitative assessment parameters we developed, we present a sensitivity and accuracy analysis of the Truncated Singular Value Decomposition (TSVD) method applied to optical breast imaging in transmission mode. The results indicate that the higher spatial resolution and improved quantitative accuracy obtained by decreasing the TSVD regularization parameter (i.e. the number of singular values used in the matrix inversion) must be balanced against the concomitant increase in image noise. Other parameters needs to be optimized including probe geometry, voxel size were also analyzed.

Citation Download Citation

Lai Wang, Quan Zhang, Thomas J. Brukilacchio, and David A. Boas "Optimizing single-projection linear tomographic optical breast imaging", Proc. SPIE 4250, Optical Tomography and Spectroscopy of Tissue IV, (29 June 2001); https://doi.org/10.1117/12.434519

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