Breast cancer detection using Ktrans MRI imaging to guide near infrared spectroscopy tomography

Jinchao Feng; Shudong Jiang; Junqing Xu; Yan Zhao; Jiang Gui; Brian W. Pogue; Keith D. Paulsen

doi:10.1117/12.2250649

18 February 2017 Breast cancer detection using K_trans MRI imaging to guide near infrared spectroscopy tomography

Jinchao Feng, Shudong Jiang, Junqing Xu, Yan Zhao, Jiang Gui, Brian W. Pogue, Keith D. Paulsen

Proceedings Volume 10059, Optical Tomography and Spectroscopy of Tissue XII; 100590O (2017) https://doi.org/10.1117/12.2250649
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

The parametric image of Volume Transfer Coefficient (K_trans) in MRI has been used to guide image reconstruction of Near-Infrared Spectral Tomography (NIRST). The image reconstruction used direct regularization, in which no segmentation has been involved. A total of 24 patients were involved in this study and the reconstructed results show that the tumor total hemoglobin (HbT) contrast could be used to differentiate the malignant from the benign cases (p-value= 0.018). The addition of the MRI information allows more accurate and definitive HbT values from the NIRST.

Citation Download Citation

Jinchao Feng, Shudong Jiang, Junqing Xu, Yan Zhao, Jiang Gui, Brian W. Pogue, and Keith D. Paulsen "Breast cancer detection using K_trans MRI imaging to guide near infrared spectroscopy tomography", Proc. SPIE 10059, Optical Tomography and Spectroscopy of Tissue XII, 100590O (18 February 2017); https://doi.org/10.1117/12.2250649

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