fff69f31b4a6d310VgnVCM100000c2b1d38dRCRDapproved/UMICH/stats/Home/News & Events/Archived Events/2010-2011 EventsRuth Cassidy###@###(Mon, 17 Jan 2011)Ruth Cassidy###@###(Mon, 17 Jan 2011)438 West HallStatistical Analysis of Raman Spectroscopic Images, with Applications to Clinical Assessment of Bone Structure Parametersstats129529170000012952917000002:15 PM<p><b>Title: </b>Statistical analysis of Raman spectroscopic images, with applications to clinical assessment of bone structure parameters<b><br> Co-Advisors:</b> Associate Professor Liza Levina, Associate Professor Kerby Shedden<br> <b>Committee Member:</b> Professor Naisyin Wang</p> <p><b>Abstract: </b>Raman spectroscopy is a technique that can be used to study the chemical composition of a given specimen by the illumination of given samples with a laser beam, collection of the resulting scattered light, and analysis of the subsequent spectral data. The analysis of Raman-spectroscopic data can be challenging due to the high-dimensional nature of spectra and the prevalence of a large amount of noise due to the relative weakness of Raman scattering. Existing methods that aim to address these issues sometimes ignore the spatial structure and/or the functional nature of the data. We propose a method that estimates the salient features of a spectral peak: location, height, and width. Due to its noninvasive nature and ability to capture information specific to chemical bonds and molecular fingerprints, Raman spectroscopy has a wide range of potential applications. For instance, it could be used to predict changes in human bone composition, which may result from the onset of osteoporosis and bone graft healing.</p>Njjsantosjjsantos1366830910267cff69f31b4a6d310VgnVCM100000c2b1d38d____once11112newnewEvent Flyer/UMICH/stats/Home/Events/Dissertations and Oral Preliminary Examinations/Ruth Cassidy prelim flyer.pdfRuth Cassidy