Paper
13 February 2006 Near infrared/ultrasound dual modal imaging for breast cancer detection
R. X. Xu, S. P. Povoski, L. D. Yee, J. O. Olsen, B. Qiang, J. M. Mao
Author Affiliations +
Proceedings Volume 6081, Multimodal Biomedical Imaging; 608107 (2006) https://doi.org/10.1117/12.652251
Event: SPIE BiOS, 2006, San Jose, California, United States
Abstract
For characterization of suspicious breast lesions, we used a dual modal imaging scheme integrating a hand-held near infrared imager and a portable ultrasound probe. The functional properties of the suspicious lesion and the surrounding tissue were reconstructed based on the diffuse reflectance measurement of the near infrared light and the ultrasound measurement of the tumor morphology. The near infrared/ultrasound dual modal imaging system has been validated through a series of bench top tests where tumor simulators with various absorptions were embedded at different depth in a liquid tissue-simulating phantom. The clinical trial of the imaging scheme was conducted on 44 subjects with suspicious breast lesions identified by mammography and/or ultrasound. Both near infrared and ultrasound data were collected from the area of the suspicious breast lesion and from the adjacent reference breast tissue. The clinical trial demonstrates that the dual modal imaging system can reach up to 71% of diagnostic sensitivity and 58% of specificity in detecting breast carcinoma. This may indicate that the system could potentially be used in breast cancer detection adjunctive with mammography.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. X. Xu, S. P. Povoski, L. D. Yee, J. O. Olsen, B. Qiang, and J. M. Mao "Near infrared/ultrasound dual modal imaging for breast cancer detection", Proc. SPIE 6081, Multimodal Biomedical Imaging, 608107 (13 February 2006); https://doi.org/10.1117/12.652251
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Cited by 5 scholarly publications.
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KEYWORDS
Tumors

Absorption

Ultrasonography

Breast

Near infrared

Tissues

Imaging systems

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