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Proceedings Paper

Segmentation of 4D cardiac computer tomography images using active shape models
Author(s): Barba-J. Leiner; Jimena Olveres; Boris Escalante-Ramírez; Fernando Arámbula; Enrique Vallejo
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Paper Abstract

This paper describes a segmentation method for time series of 3D cardiac images based on deformable models. The goal of this work is to extend active shape models (ASM) of tree-dimensional objects to the problem of 4D (3D + time) cardiac CT image modeling. The segmentation is achieved by constructing a point distribution model (PDM) that encodes the spatio-temporal variability of a training set, i.e., the principal modes of variation of the temporal shapes are computed using some statistical parameters. An active search is used in the segmentation process where an initial approximation of the spatio-temporal shape is given and the gray level information in the neighborhood of the landmarks is analyzed. The starting shape is able to deform so as to better fit the data, but in the range allowed by the point distribution model. Several time series consisting of eleven 3D images of cardiac CT are employed for the method validation. Results are compared with manual segmentation made by an expert. The proposed application can be used for clinical evaluation of the left ventricle mechanical function. Likewise, the results can be taken as the first step of processing for optic flow estimation algorithms.

Paper Details

Date Published: 1 May 2012
PDF: 11 pages
Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84361E (1 May 2012); doi: 10.1117/12.922856
Show Author Affiliations
Barba-J. Leiner, Univ. Nacional Autónoma de México (Mexico)
Jimena Olveres, Univ. Nacional Autónoma de México (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)
Fernando Arámbula, Univ. Nacional Autónoma de México (Mexico)
Enrique Vallejo, Instituto Nacional de Cardiología (Mexico)


Published in SPIE Proceedings Vol. 8436:
Optics, Photonics, and Digital Technologies for Multimedia Applications II
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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