Estimating patient-specific shape prior for medical image segmentation

Zhang, W. and Yan, P. and Li, Xuelong (2011) Estimating patient-specific shape prior for medical image segmentation. In: UNSPECIFIED (ed.) IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Institute of Electrical and Electronics Engineers, pp. 1451-1454. ISBN 9781424441273.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ISBI.2011.5872673

Abstract

Image segmentation is one of the key problems in medical image analysis. This paper presents a new statistical shape model for automatic image segmentation. In contrast to the previous model based segmentation methods, where shape priors are estimated from a general population-based shape model, our proposed method aims to estimate patient-specific shape priors to achieve more accurate segmentation by using manifold learning techniques. The proposed shape prior estimation method is incorporated into a deformable model based framework for image segmentation. The effectiveness of the proposed method has been demonstrated by the experiments on segmenting the prostate from MR images.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	07 Jun 2013 14:21
Last Modified:	09 Aug 2023 12:33
URI:	https://eprints.bbk.ac.uk/id/eprint/7412

Statistics

Archive Staff Only (login required)

Edit/View Item