Wavelength optimization for quantitative spectral imaging of breast tumor margins.
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2013-01
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Abstract
A wavelength selection method that combines an inverse Monte Carlo model of reflectance and a genetic algorithm for global optimization was developed for the application of spectral imaging of breast tumor margins. The selection of wavelengths impacts system design in cost, size, and accuracy of tissue quantitation. The minimum number of wavelengths required for the accurate quantitation of tissue optical properties is 8, with diminishing gains for additional wavelengths. The resulting wavelength choices for the specific probe geometry used for the breast tumor margin spectral imaging application were tested in an independent pathology-confirmed ex vivo breast tissue data set and in tissue-mimicking phantoms. In breast tissue, the optical endpoints (hemoglobin, β-carotene, and scattering) that provide the contrast between normal and malignant tissue specimens are extracted with the optimized 8-wavelength set with <9% error compared to the full spectrum (450-600 nm). A multi-absorber liquid phantom study was also performed to show the improved extraction accuracy with optimization and without optimization. This technique for selecting wavelengths can be used for designing spectral imaging systems for other clinical applications.
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Lo, Justin Y, J Quincy Brown, Sulochana Dhar, Bing Yu, Gregory M Palmer, Nan M Jokerst and Nirmala Ramanujam (2013). Wavelength optimization for quantitative spectral imaging of breast tumor margins. PloS one, 8(4). p. e61767. 10.1371/journal.pone.0061767 Retrieved from https://hdl.handle.net/10161/22463.
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Gregory M. Palmer
Greg Palmer obtained his B.S. in Biomedical Engineering from Marquette University in 2000, after which he obtained his Ph.D. in BME from the University of Wisconsin, Madison. He is currently an Associate Professor in the Department of Radiation Oncology, Cancer Biology Division at Duke University Medical Center. His primary research focus has been identifying and exploiting the changes in absorption, scattering, and fluorescence properties of tissue associated with cancer progression and therapeutic response. To this end he has implemented a model-based approach for extracting absorber and scatterer properties from diffuse reflectance and fluorescence measurements. More recently he has developed quantitative imaging methodologies for intravital microscopy to characterize tumor functional and molecular response to radiation and chemotherapy. His awards have included the Jack Fowler Award from the Radiation Research Society.
Laboratory Website:
https://radonc.duke.edu/research-education/research-labs/radiation-and-cancer-biology/palmer-lab
Nan Marie Jokerst
Dr. Nan Marie Jokerst is the J. A. Jones Distinguished Professor of Electrical and Computer Engineering at Duke University, and the Executive Director of the Duke Shared Materials Instrumentation Facility, a Duke shared cleanroom and characterization facility. She was the Chair of the Duke Academic Council from 2014-2015 and an Associate Dean in the Pratt School of Engineering for 6 years. She received her BS in Physics from Creighton University in 1982, and her MS and PhD in Electrical Engineering from the University of Southern California in 1984 and 1989, respectively. She is a Fellow of the IEEE, and has served as an elected member of the IEEE Photonics Board of Governors, and as the VP for Conferences and as the VP Technical Affairs, as well as the Atlanta Section President, Vice President, Treasurer, and Secretary, and a member of the IEEE Proceedings Editorial Board. She is a Fellow of Optica (formerly the the Optical Society of America), and has served as Chair of the OSA Engineering Council and as an Associate Editor of Optica. Her awards include an NSF Presidential Young Investigator Award, an IEEE Third Millenium Medal, the IEEE/HP Harriet B. Rigas Medal, and the Alumni in Academia Award for the University of Southern California Viterbi School of Engineering. She also served on the National Academies Board on Global Science and Technology. She has published over 250 refereed journal and conference publications, and has 6 patents. She is a co-founder of the organization Triangle Women in STEM.
Nimmi Ramanujam
Nirmala (“Nimmi”) Ramanujam is the Robert W. Carr Professor of Biomedical Engineering and Professor of Cancer Pharmacology, Cancer Biology, and Global Health and founder of the Center for Global Women’s Health Technologies (GWHT) at Duke University. Her work addresses access gaps across the cancer care continuum both locally and globally. Her group develops low-cost imaging, artificial intelligence, and digital health platforms to decentralize the early detection of cervical cancer, and immune-based injectables and metabolic biomarkers for breast cancer treatment. Across both programs, she addresses access in different ways—expanding prevention where healthcare infrastructure is limited and improving access to treatment where therapies are available, yet lengthy and prohibitively expensive. She founded Calla Health to translate women’s health technologies into practice and co-developed The (In)visible Organ, a documentary that raises awareness and addresses stigma as barriers to care. She also leads experiential STEM initiatives that train students in systems-based, equity-centered technology development and she has authored a textbook, Biomedical Engineering and Global Health. She is a Fellow of the National Academy of Engineering and the National Academy of Inventors, a Fulbright Scholar, and recipient of a number of awards, notably of the Department of Defense Breast Cancer Innovator Award, the IEEE Biomedical Engineering Technical Field Award and the Anita B social impact award.
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