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Journal of Imaging Informatics in Medicine
Published in: Journal of Digital Imaging 3/2009

01-06-2009

Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images

Authors: Shelly Lotenberg, Shiri Gordon, Hayit Greenspan

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2009

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Abstract

The work focuses on a unique medical repository of digital uterine cervix images (“cervigrams”) collected by the National Cancer Institute (NCI), National Institute of Health, in longitudinal multiyear studies. NCI together with the National Library of Medicine is developing a unique web-based database of the digitized cervix images to study the evolution of lesions related to cervical cancer. Tools are needed for the automated analysis of the cervigram content to support the cancer research. In recent works, a multistage automated system for segmenting and labeling regions of medical and anatomical interest within the cervigrams was developed. The current paper concentrates on incorporating prior-shape information in the cervix region segmentation task. In accordance with the fact that human experts mark the cervix region as circular or elliptical, two shape models (and corresponding methods) are suggested. The shape models are embedded within an active contour framework that relies on image features. Experiments indicate that incorporation of the prior shape information augments previous results.
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Metadata
Title
Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images
Authors
Shelly Lotenberg
Shiri Gordon
Hayit Greenspan
Publication date
01-06-2009
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 3/2009
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-008-9134-z

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