A two-layer model for NIR breast imaging with the assistance of ultrasound

Minming Huang; Quing Zhu

doi:10.1117/12.592913

28 April 2005 A two-layer model for NIR breast imaging with the assistance of ultrasound

Minming Huang, Quing Zhu

Proceedings Volume 5693, Optical Tomography and Spectroscopy of Tissue VI; (2005) https://doi.org/10.1117/12.592913
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

The chest-wall layer underneath the breast tissue consists of muscle layer and induces distortion to measured near infrared diffused wave when the patient is imaged in the supine position. In this paper, we present results of using a simple two-layer model to correct the chest wall induced distortion. Four parameters of absorption and reduced scattering coefficients of both layers are used to describe the optical properties of the model. With the initially estimated absorption and reduced scattering coefficients, an iterative search method is used to find the best fitted parameters to minimize the difference between the measurements obtained at normal breast region and the model data. Then, a correction method is applied to correct the chest wall mismatch between the lesion site and reference site. With this correction scheme, phantom targets located on top of the chest-wall phantom layer can be reconstructed with good contrast and resolution. With the a priori chest wall depth information obtained from ultrasound at both normal and lesion regions, the contrast between malignant breast cancers and benign lesions can be further improved compared with that obtained from the modified Born approximation, where semi-infinite boundary is used.

Citation Download Citation

Minming Huang and Quing Zhu "A two-layer model for NIR breast imaging with the assistance of ultrasound", Proc. SPIE 5693, Optical Tomography and Spectroscopy of Tissue VI, (28 April 2005); https://doi.org/10.1117/12.592913

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