Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse Holly A. Robinson, SunKuk Kwon, Mary A. Hall, John C. Rasmussen, Melissa B. Aldrich, Eva M. Sevick-MuracaCenter for Molecular Imaging (CMI), University of Texas Health Science Center-Houston Recently developed imaging techniques using near-infrared fluorescence (NIRF) may help elucidate the role the lymphatic system plays in cancer metastasis, immune response, wound repair, and other lymphatic-associated diseases. Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants Pei-Yi Lin1, Nadege Roche-Labarbe1, 2, Mathieu Dehaes3, Stefan Carp1, Angela Fenoglio3, Beniamino Barbieri4, Katherine Hagan1, P. Ellen Grant3, Maria Angela Franceschini11Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, 2Lab. PALM, Université de Caen Basse-Normandie, 3Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, 4ISS, INC. We combined frequency-domain near-infrared spectroscopy measures of cerebral hemoglobin oxygenation with diffuse correlation spectroscopy measures of cerebral blood flow index to estimate an index of oxygen metabolism. We tested the utility of this measure as a bedside screening tool to evaluate the health and development of the newborn brain. Reduction In Left Ventricular Wall Stress And Improvement In Function In Failing Hearts Using Algisyl-LVR Lik Chuan Lee1, Zhang Zhihong1, Andrew Hinson2, Julius M. Guccione11Department of Surgery, UCSF/VA Medical Center, 2Clinical & Regulatory, LoneStar Heart, Inc. This article describes procedures for implanting a novel hydrogel in failing hearts and quantifying its effect on left ventricular wall stress and function. These procedures have been successfully applied in dogs and humans. Development Of An Audio-based Virtual Gaming Environment To Assist With Navigation Skills In The Blind Erin C. Connors1, Lindsay A. Yazzolino1, Jaime Sánchez2, Lotfi B. Merabet11Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, 2Department of Computer Science and Center for Advanced Research in Education (CARE), University of Chile Determining 3D Flow Fields Via Multi-camera Light Field Imaging Tadd T. Truscott1, Jesse Belden2, Joseph R. Nielson1, David J. Daily1, Scott L. Thomson11Department of Mechanical Engineering, Brigham Young University, 2Naval Undersea Warfare Center, Newport, RI A technique for performing quantitative three-dimensional (3D) imaging for a range of fluid flows is presented. Using concepts from the area of Light Field Imaging, we reconstruct 3D volumes from arrays of images. Our 3D results span a broad range including velocity fields and multi-phase bubble size distributions.
