Wavelength optimization for quantitative spectral imaging of breast tumor margins.
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2013-01
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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, Professor of Cancer Pharmacology and Cancer Biology, and Global Health at Duke University. She founded the Center for Global Women’s Health Technologies (GWHT) in 2013 to reshape women’s health through technology innovation. Her translation program in cervical and breast cancer has brought together multiple partners across U.S. and international academic institutions, hospitals, companies, non-governmental organizations, and ministries of health.
Prof. Ramanujam creates technological solutions to detect cancer at its earliest stages, improve the effectiveness of current treatments and refine them to be more effective and less toxic. Prof. Ramanujam has developed point of care imaging technologies (Pocket colposcope and Callascope) and deep learning algorithms for the global prevention of cervical cancer. She has implemented these technologies in global health care settings where access to cancer prevention and treatment is sparse or non-existent. Towards cancer treatment, Prof. Ramanujam has developed a drug releasing immunomodulating polymer that simultaneously disrupts tumor cells and elicits an immune boost. This injectable therapeutic can be deployed in settings where treatment is unavailable owing to its simple and low-cost formulation, and it can also provide an immune boost to checkpoint inhibitors. To understand why some tumors are resistant to therapy, she has created tools to image basic cellular processes that provide insight into tumor resistance. She has shown that metabolic plasticity in human residual disease can serve as a cue for treatment optimization and patient management.
Prof. Ramanujam has created a global consortium, Women Inspired strategies for health or WISH to establish technology-enabled community clinics for cervical cancer detection in Peru and Kenya. The MacArthur Foundation recognized WISH in 2019 as one of the top 100 most transformative and impactful global solutions. She founded Calla Health in 2019 to commercialize women’s health technologies developed by her group. Through WISH and Calla Health, her femtech innovations have been disseminated in 11 countries and has reached more than 8,000 women globally. She has also co-developed the (In)visible Organ documentary on reshaping the future of women’s health through femtech. Her documentary was officially selected for the Women at the Center Film Festival at the International Papillomavirus Conference in 2020. Prof. Ramanujam has seen the value of co-creating solutions with those that are at the level of the problem. This has led to the creation of a global education program IGNITE that intersects engineering design thinking, STEM concepts, and the U.N. Sustainable Development Goals. This peer mentoring model between undergraduate students and high school and middle students has been deployed in 5 locations globally, reaching more than 2,500 students and the online curriculum has more than 1000 users.
Prof. Ramanujam has received numerous awards, several of which are highlighted here. She received the prestigious DOD Breast Cancer Innovator award in 2024 given to gifted individuals who have a history of visionary scholarship, leadership, and creativity. She received the IEEE Biomedical Engineering Award Technical Field Award in 2023 given annually for outstanding contributions to the field of Biomedical engineering. She is a fellow of and has received several awards from professional societies in the field of biomedical optics. She is a Fulbright scholar, a fellow of the National Academy of Inventors, and the American Institute of Biomedical and Biomedical Engineering (AIMBE). She has been invited as a speaker at the United Nations and at TEDx events. Her textbook, Biomedical Engineering for Global Health (2024), examines the intersection of health systems, point of care technologies, and data analytics / artificial intelligence and how these technological capabilities can broaden access to care in the 21st century.
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