Title :
Generating a statistical shape model of the AIDS virus spike
Author :
Gopinath, Ajay ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
We introduce a method to automatically extract the spike features of the AIDS virus imaged through an electron microscope. This method detects the location of the spikes and extracts a sub-volume enclosing the spike with a sensitivity of 80%. The extracted spikes are further aligned and combined to build a 4D statistical shape model, where each voxel in the shape model is assigned a probability density function. This is a fully automated process that can extract sub-volumes of the AIDS virus spike making it possible to build a statistical model without the need for any user supervision. The AIDS virus spike is the primary target of drug design as it is directly involved in infecting host cells. We envision that this new tool will significantly enhance the overall process of shape analysis of the AIDS virus spike imaged through the electron microscope.
Keywords :
diseases; drugs; electron microscopes; feature extraction; medical image processing; microorganisms; object detection; probability; statistical analysis; 4D statistical shape model generation; AIDS virus spike; AIDS virus spike subvolume extraction; drug design; electron microscope; probability density function; spike feature extraction; spike location detection; Biological system modeling; Drugs; Ellipsoids; Feature extraction; Shape; Tomography; AIDS Virus; Electron Microscopy; Feature Extraction; Spike gp120; Statistical Shape Analysis;
Conference_Titel :
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-1-4673-1831-0
Electronic_ISBN :
978-1-4673-1829-7
DOI :
10.1109/SSIAI.2012.6202444