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3d Tetrahedron Mesh Refinement for Fluorescence Tomography Reconstruction

Author: YangHeng
Tutor: ZhangJiWu
School: Shanghai Jiaotong University
Course: Biomedical Engineering
Keywords: Digimouse Three-dimensional grid Mesh refinement Mesh simplification Mesh optimization
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 30
Quote: 0
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Abstract


Optical molecular imaging is an emerging field of medical imaging , it can detect human metabolism and functional aspects of disease on the cellular and molecular levels . Infrared light or visible light can penetrate the body to several centimeters and be able to be detected in the body surface , we placed in the external experimental body of the light source , the light penetrates the human body to reach the location of the fluorescent dye ( fluorescent dye prior is injected into the human body ) , fluorescence the dye is excited, to issue another wavelengths and at the surface of the human body is detected, the fluorescent tomographic reconstruction algorithm based on in vitro detected lightwave information will be able to reconstruct the position of the in vivo fluorescence dye . In order to precisely calculate the location of the fluorescent dye , numerical analysis methods (such as finite element ) commonly used to solve partial differential equations that describe the light transmission within the organization . The purpose of this paper is to provide a three-dimensional grid based on fluorescence tomographic reconstruction algorithm characteristics optimization algorithm, the grid of this algorithm is effective grid of a fluorescence tomographic reconstruction algorithm . The algorithm combines mesh simplification and mesh refinement process the corresponding grid cost function and illumination properties of the organs and tissues in the body . The algorithm results demonstrate new grid quality and density than the original grid (Digimouse) has a very large increase , and applications in the fluorescent molecular tomographic reconstruction algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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