Towards Recovery of 3D Chromosome Structure

The objectives of this work include automatic recovery and visualization of a 3D chromosome structure from a sequence of 2D tomographic reconstruction images taken through the nucleus of a cell. Structure is very important for biologists as it affects chromosome functions, behavior of the cell and i...

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Bibliographic Details
Published in2004 Conference on Computer Vision and Pattern Recognition Workshop p. 1
Main Authors Babu, S., Pao-Chuan Liao, Shin, M.C., Tsap, L.V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Algorithm design and analysis
Biological cells
Cells (biology)
Data visualization
Diseases
Genetic mutations
Histograms
Image reconstruction
Monitoring
Tomography
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Summary:The objectives of this work include automatic recovery and visualization of a 3D chromosome structure from a sequence of 2D tomographic reconstruction images taken through the nucleus of a cell. Structure is very important for biologists as it affects chromosome functions, behavior of the cell and its state. Chromosome analysis is significant in the detection of diseases and in monitoring environmental gene mutations. The algorithm incorporates thresholding based on a histogram analysis with a polyline splitting algorithm, contour extraction via active contours, and detection of the 3D chromosome structure by establishing corresponding regions throughout the slices. Visualization using point cloud meshing generates a 3D surface. The 3D triangular mesh of the chromosomes provides surface detail and allows a user to interactively analyze chromosomes using visualization software.
DOI:10.1109/CVPR.2004.466