Cutting-edge, full-color coverage of optical imaging and diagnostic systems in development for in vivo use
Featuring full-color, high-resolution images, In Vivo Clinical Imaging and Diagnosis is written for biomedical engineering and biophotonic imaging professionals, providing detailed descriptions of leading-edge imaging technologies and diagnostic techniques. This one-stop photonic imaging resource covers clinical microscopic imaging systems with a focus on miniaturization of microscopes; the latest imaging techniques including hyperspectral imaging, molecular imaging, and opto-acoustic tomography; and spectroscopic techniques.
In Vivo Clinical Imaging and Diagnosis features:
Definitive coverage of the latest breakthroughs in this emerging field: a. Confocal Microscopy of cancer b. Non-linear microscopy of cancer and brain function c. Optical Coherence Tomography of cancer and ocular disease d. Microscopic Endoscopy in the GI Tract Section II. Macroscopic/Wide Field Imaging a. Opto-acoustic imaging of cancer b. Molecular Imaging for proteomics, genomics andcancer c. Diffuse Optical Tomography of breast cancer andbrain function d. Speckle imaging of brain function for stroke e. Hyperspectral imaging of cancer Section III. Clinical Spectroscopy Systems a. Reflectance/Fluorescence diagnosis of breast,skin, ovary and cervical cancer b. Raman Spectroscopy of brain and breast cancer c. Novel spectroscopic techniques for prostatecancer detection
Advances in Microscopic Imaging; Confocal Microscopy of Cancer; Non-linear Microscopy of Cancer and Brain Function; Optical Coherence Tomography of Cancer and Ocular Disease; Microscopic Endoscopy in the GI Tract; Macroscopic/Wide Field Imaging; Opto-acoustic Imaging of Cancer; Molecular Imaging for Proteomics, Genomics and Cancer; Diffuse Optical Tomography of Breast Cancer and Brain Function; Speckle Imaging of Brain Function for Stroke; Hyperspectral Imaging of Cancer; Clinical Spectroscopy Systems; Reflectance/Fluorescence Diagnosis of Breast, Skin, Ovary and Cervical Cancer; Raman Spectroscopy of Brain and Breast Cancer; Novel Spectroscopic Techniques for Prostate Cancer Detection
i. Rebecca Richards-Kortum, Rice University
ii. Allen Halpern, Memorial Sloan-Kettering Cancer Center
i. Peter So, MIT
ii. Jerome Mertz, Boston University
iii. Elizabeth Hillman, Hillman, Columbia University
i. Steven Boppart, University of Illinois
ii. James Fujimoto, MIT
iii. Yu Chen, University of Maryland
i. Brett Bouma/Gary Tearney, Harvard University
ii. Thomas Wang, University of Michigan
iii. Chris Contag, O. Solgaard, G. Kino, Stanford University
i. Lihong Wang, Washington University
ii. Stas Emelianov, University of Texas
i. Vasilis Ntziachristos, Helmholz Center Munich
ii. Ralph Weissleder, Harvard University
iii. John Frangioni, Harvard University
i. Arjun Yodh, University of Pennsylvania
ii. David Boas, Massachusetts General Hospital
iii. Keith Paulsen, Dartmouth College
i. Andrew Dunn, University of Texas
ii. Bernard Choi, University of California, Irvine
i. Brian Sorg, University of Florida
ii. Tuan Vo-Dinh, Duke University
i. Irving Bigio, Boston University
ii. Michael Feld, MIT
iii. Nirmala Ramanujam, Duke University
iv. Bruce Tromberg, Beckman Laser Institute and Medical Clinic, University of California, Irvine
v. Rebekah Drezek, Rice University
i. Anita Mahadevan-Jansen, Vanderbilt University
ii. Abbey Haka/Michael Feld, MIT - Breast Cancer
i. Adam Wax, Duke University
ii. Vadim Backman, Northwestern University