Work

Topology-preserving STAPLE

Year: 2010

Type: conference-paper

Abstract: Methodology for fusing multiple segmentations to produce an improved result has been useful in computational anatomical studies. Although obtaining segmentations of anatomy having a particular topology are essential to studies using diffeomorphic deformation based analyses, no methods of label fusion presented to date have incorporated information regarding the topology of the anatomy. In this paper, we introduce "Topology STAPLE", a novel method that statistically fuses multiple rater segmentations into a topologically correct segmentation. We evaluate the method on both simulated data and real delineations of the cerebellum produced by human raters.

Source: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

DOI: 10.1109/cvprw.2010.5543195

Authors: John A. Bogovic, Pierre-Louis Bazin, Jerry L. Prince

Institution: Johns Hopkins University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Neurological Disorders and Stroke

Awards: G1989012703, Automatic Cerebellar MRI Labeling In Health and Disease