Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Segmentation, Reconstruction, and Analysis of Blood Thrombus Formation in 3D 2-Photon Microscopy Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 147216 8 pages doi 2010 147216 Research Article Segmentation Reconstruction and Analysis of Blood Thrombus Formation in 3D 2-Photon Microscopy Images Jian Mu 1 Xiaomin Liu 1 Malgorzata M. Kamocka 2 Zhiliang Xu 3 Mark S. Alber 3 Elliot D. Rosen 2 and Danny Z. Chen1 1 Department of Computer Science and Engineering University of Notre Dame Notre Dame IN 46556 USA 2Department of Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN 46202 USA 3Department of Mathematics University of Notre Dame Notre Dame IN 46556 USA Correspondence should be addressed to Jian Mu jmu@ Received 1 May 2009 Accepted 10 July 2009 Academic Editor Joao Manuel R. S. Tavares Copyright 2010 Jian Mu et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. We study the problem of segmenting reconstructing and analyzing the structure growth of thrombi clots in blood vessels in vivo based on 2-photon microscopic image data. First we develop an algorithm for segmenting clots in 3D microscopic images based on density-based clustering and methods for dealing with imaging artifacts. Next we apply the union-of-balls or alpha-shape algorithm to reconstruct the boundary of clots in 3D. Finally we perform experimental studies and analysis on the reconstructed clots and obtain quantitative data of thrombus growth and structures. We conduct experiments on laser-induced injuries in vessels of two types of mice the wild type and the type with low levels of coagulation factor VII and analyze and compare the developing clot structures based on their reconstructed clots from image data. The results we obtain are of biomedical significance. Our quantitative analysis of the clot composition leads to better .
