Hierarchical clustering method for improved prostate cancer imaging in diffuse optical tomography

Venkaiah C. Kavuri; Hanli Liu

doi:10.1117/12.2005105

25 March 2013 Hierarchical clustering method for improved prostate cancer imaging in diffuse optical tomography

Venkaiah C. Kavuri, Hanli Liu

Proceedings Volume 8578, Optical Tomography and Spectroscopy of Tissue X; 85781K (2013) https://doi.org/10.1117/12.2005105
Event: SPIE BiOS, 2013, San Francisco, California, United States

Abstract

We investigate the feasibility of trans-rectal near infrared (NIR) based diffuse optical tomography (DOT) for early detection of prostate cancer using a transrectal ultrasound (TRUS) compatible imaging probe. For this purpose, we designed a TRUS-compatible, NIR-based image system (780nm), in which the photo diodes were placed on the trans-rectal probe. DC signals were recorded and used for estimating the absorption coefficient. We validated the system using laboratory phantoms. For further improvement, we also developed a hierarchical clustering method (HCM) to improve the accuracy of image reconstruction with limited prior information. We demonstrated the method using computer simulations laboratory phantom experiments.

Citation Download Citation

Venkaiah C. Kavuri and Hanli Liu "Hierarchical clustering method for improved prostate cancer imaging in diffuse optical tomography", Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 85781K (25 March 2013); https://doi.org/10.1117/12.2005105

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