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Proceedings Paper

High spatial frequency structured light imaging for intraoperative breast tumor margin assessment
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Paper Abstract

A new superficial wide-field imaging technique is presented, which utilizes high spatial frequency structured illumination to constrain the light sampling volume to a sub-diffuse regime. In this transport regime, the effects of absorption are drastically reduced and the sensitivity to local scattering from ultrastructrual alterations is increased. Absorption independence is validated with multiple experiments including a bovine blood-Intralipid solution matrix and avian tissue with superficial bovine blood. The resulting structured light demodulated images show a complete insensitivity to the blood over Hb concentrations of 0 – 240 μM. Increased sensitivity to ultrastructual changes is demonstrated by imaging avian tissue with controlled morphological alterations including formalin-induced crosslinking. This imaging technique is currently being translated towards intraoperative assessment of breast tumor margins because of its ability to capture an entire lumpectomy margin in a single field of view, insensitivity to confounding surface blood present on lumpectomies, and its inherent scatter signal without the need of any model inversion. Further, a new lumpectomy marking system is introduced that allows for both the surgeon to mark the lumpectomy during excision and optical assessment of the specimen after the margins have been marked. Structured light images acquired intraoperatively of all margins of lumpectomy specimens are presented to show feasibility of clinical translation. Immediate future work will focus on developing a multi-spectral system.

Paper Details

Date Published: 4 March 2015
PDF: 4 pages
Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 931308 (4 March 2015); doi: 10.1117/12.2080134
Show Author Affiliations
David M. McClatchy, Thayer School of Engineering at Dartmouth (United States)
Venkataramanan Krishnaswamy, Thayer School of Engineering at Dartmouth (United States)
Stephen C. Kanick, Thayer School of Engineering at Dartmouth (United States)
Jonathan T. Elliott, Thayer School of Engineering at Dartmouth (United States)
Wendy A. Wells, Geisel School of Medicine, Dartmouth College (United States)
Richard J. Barth, Geisel School of Medicine, Dartmouth College (United States)
Keith D. Paulsen, Thayer School of Engineering at Dartmouth (United States)
Geisel School of Medicine, Dartmouth College (United States)
Brian W. Pogue, Thayer School of Engineering at Dartmouth (United States)
Geisel School of Medicine, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 9313:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest; Quan Liu, Editor(s)

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