Steven L. Jacques, Ph.D., received a B.S. degree in Biology at M.I.T., and an M.S. degree in Electrical Engineering and Computer Science and a Ph.D. degree in Biophysics and Medical Physics from the University of California-Berkeley (1984), where he used dielectric microwave measurements to explore the in vivo distribution of water in the stratum corneum of human skin.
His postdoctoral work was at the Wellman Center for Photomedicine at Massachusetts General Hospital, rising to the position of Lecturer in Dermatology/Bioengineering, Harvard Medical School. His team developed the use of Monte Carlo computer simulations to study optical transport in biological tissues, which is now widely used in the field of biophotonics.
In 1988, he joined the University of Texas M. D. Anderson Cancer as an Assistant Professor of Urology/Biophysics and established a laboratory developing novel laser and optical methods for medicine, later achieving a tenured position as Associate Professor. He developed a hand-held spectrometer and the analysis software to noninvasively measure hyperbilirubinemia in newborns. This device was patented, licensed, and FDA approved to replace heel stick tests, and is now in practice in neonatal care. As of 2009, over 20 million newborns have been tested with the device.
In 1996, he joined the Oregon Health and Science University in Portland where he now serves as Professor of Dermatology and Biomedical Engineering. His work continues on developing novel uses of optical technologies for both therapy and diagnosis. Currently, he has developed a hand-held polarized light camera to visualize skin cancer margins and guide surgical excision, now in clinical trials. He has developed in vivo sub-nm measurements of vibration of the cochlear membrane of the inner ear in animal models. He is developing novel microscopes that are sensitive to the ultrastructure of cells and tissues.
His postdoctoral work was at the Wellman Center for Photomedicine at Massachusetts General Hospital, rising to the position of Lecturer in Dermatology/Bioengineering, Harvard Medical School. His team developed the use of Monte Carlo computer simulations to study optical transport in biological tissues, which is now widely used in the field of biophotonics.
In 1988, he joined the University of Texas M. D. Anderson Cancer as an Assistant Professor of Urology/Biophysics and established a laboratory developing novel laser and optical methods for medicine, later achieving a tenured position as Associate Professor. He developed a hand-held spectrometer and the analysis software to noninvasively measure hyperbilirubinemia in newborns. This device was patented, licensed, and FDA approved to replace heel stick tests, and is now in practice in neonatal care. As of 2009, over 20 million newborns have been tested with the device.
In 1996, he joined the Oregon Health and Science University in Portland where he now serves as Professor of Dermatology and Biomedical Engineering. His work continues on developing novel uses of optical technologies for both therapy and diagnosis. Currently, he has developed a hand-held polarized light camera to visualize skin cancer margins and guide surgical excision, now in clinical trials. He has developed in vivo sub-nm measurements of vibration of the cochlear membrane of the inner ear in animal models. He is developing novel microscopes that are sensitive to the ultrastructure of cells and tissues.
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The tomographic method involves a set of Ns sources and Nd detectors such that Nsd = Ns x Nd source-detector pairs produce Nsd measurements, each interrogating the tissue with a unique perspective, i.e., a unique region of sensitivity to voxels within the tissue.
This tutorial report describes the reconstruction of the image of a blood vessel within a soft tissue based on such source-detector measurements, by solving a matrix equation using Tikhonov regularization. This is not a novel contribution, but rather a simple introduction to a well-known method, demonstrating its use in mapping blood perfusion.
Extracting scattering coefficient and anisotropy factor of tissue using optical coherence tomography