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Proceedings Paper

Multi-exposure speckle imaging of cerebral blood flow: a pilot clinical study (Conference Presentation)
Author(s): Lisa M. Richards; S. M. S. Kazmi; Katherine E. Olin; James S. Waldron; Douglas J. Fox; Andrew K. Dunn
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Paper Abstract

Monitoring cerebral blood flow (CBF) during neurosurgery is essential for detecting ischemia in a timely manner for a wide range of procedures. Multiple clinical studies have demonstrated that laser speckle contrast imaging (LSCI) has high potential to be a valuable, label-free CBF monitoring technique during neurosurgery. LSCI is an optical imaging method that provides blood flow maps with high spatiotemporal resolution requiring only a coherent light source, a lens system, and a camera. However, the quantitative accuracy and sensitivity of LSCI is limited and highly dependent on the exposure time. An extension to LSCI called multi-exposure speckle imaging (MESI) overcomes these limitations, and was evaluated intraoperatively in patients undergoing brain tumor resection. This clinical study (n = 7) recorded multiple exposure times from the same cortical tissue area, and demonstrates that shorter exposure times (≤1 ms) provide the highest dynamic range and sensitivity for sampling flow rates in human neurovasculature. This study also combined exposure times using the MESI model, demonstrating high correlation with proper image calibration and acquisition. The physiological accuracy of speckle-estimated flow was validated using conservation of flow analysis on vascular bifurcations. Flow estimates were highly conserved in MESI and 1 ms exposure LSCI, with percent errors at 6.4% ± 5.3% and 7.2% ± 7.2%, respectively, while 5 ms exposure LSCI had higher errors at 21% ± 10% (n = 14 bifurcations). Results from this study demonstrate the importance of exposure time selection for LSCI, and that intraoperative MESI can be performed with high quantitative accuracy.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 1006309 (19 April 2017); doi: 10.1117/12.2251020
Show Author Affiliations
Lisa M. Richards, The Univ. of Texas at Austin (United States)
S. M. S. Kazmi, The Univ. of Texas at Austin (United States)
Katherine E. Olin, Univ. of Texas at Austin (United States)
James S. Waldron, NeuroTexas Institute, St. David's Medical Ctr. (United States)
Douglas J. Fox, NeuroTexas Institute, St. David's Medical Ctr. (United States)
Andrew K. Dunn, The Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 10063:
Dynamics and Fluctuations in Biomedical Photonics XIV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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