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Proceedings Paper

Near infrared/ultrasound dual modal imaging for breast cancer detection
Author(s): R. X. Xu; S. P. Povoski; L. D. Yee; J. O. Olsen; B. Qiang; J. M. Mao
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Paper 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.

Paper Details

Date Published: 13 February 2006
PDF: 10 pages
Proc. SPIE 6081, Multimodal Biomedical Imaging, 608107 (13 February 2006); doi: 10.1117/12.652251
Show Author Affiliations
R. X. Xu, The Ohio State Univ. (United States)
S. P. Povoski, James Cancer Hospital and Solove Research Institute, The Ohio State Univ. (United States)
L. D. Yee, James Cancer Hospital and Solove Research Institute, The Ohio State Univ. (United States)
J. O. Olsen, James Cancer Hospital and Solove Research Institute, The Ohio State Univ. (United States)
B. Qiang, The Ohio State Univ. (United States)
J. M. Mao, ViOptix, Inc. (United States)


Published in SPIE Proceedings Vol. 6081:
Multimodal Biomedical Imaging
Fred S. Azar; Dimitris N. Metaxas, Editor(s)

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