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Cortical Constraint Method for Diffuse Optical Brain Imaging

【摘要】We develop a parametric, shape-based image reconstruction algorithm for the joint reconstruction of the optical absorption and diffusion coefficients in the brain using diffuse optical tomographic data. Specifically, we study the recovery of the geometry of an unknown number of 2D closed contours located on a 2D manifold (the cortex) in 3-space. We describe an approach for a brain model in which we assume the existence of a one-to-one map from the surface of the cortex to a subset of the plane. We use a new, parametric level set approach to map shapes on the plane to structures on the cortex. Our optimization-based reconstruction algorithm evolves shapes on the plane while finding absorption and reduced scattering values inside each shape. Preliminary numerical simulation results show the promise of our approach.

【会议名称】 Conference on Advanced Signal Processing Algorithms, Architectures, and Implementations XIV; 20040804-06; Denver,CO (US)

【会议地点】Denver,CO (US)

【作者】Misha E. Kilmer;Eric L. Miller;Marco Enriquez;David Boas;

【作者单位】Mathmatics Department, Tufts University, Medford, MA, USA;

【会议组织】

【会议召开年】2004

【页码】P.381-391

【总页数】11

【原文格式】PDF

【正文语种】eng

【中图分类】TP391;TN911;

【关键词】tomography;DOT;parametric;shape-based;image reconstruction;absorption;diffusion;

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