Reyes Aldasoro, Constantino Carlos and Bhalerao, Abhir. (2007) Volumetric texture segmentation by discriminant feature selection and multiresolution classification. IEEE TRANSACTIONS ON MEDICAL IMAGING, 26 (1). pp. 1-14. ISSN 0278-0062

Full text not available from this repository.

Abstract

In this paper, a multiresolution volumetric texture segmentation (M-VTS) algorithm is presented. The method extracts textural measurements from the Fourier domain of the data via subband filtering using an orientation pyramid (Wilson and Spann, 1988). A novel Bhattacharyya space, based on the Bhattacharyya distance, is proposed for selecting the most discriminant measurements and producing a compact feature space. An oct tree is built of the multivariate features space and a chosen level at a lower spatial resolution is first classified. The classified voxel labels are then projected to lower levels of the tree where a boundary refinement procedure is performed with a three-dimensional (3-D) equivalent of butterfly filters. The algorithm was tested with 3-D artificial data and three magnetic resonance imaging sets of human knees with encouraging results. The regions segmented from the knees correspond to anatomical structures that can be used as a starting point for other measurements such as cartilage extraction.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography
Journal or Publication Title:	IEEE TRANSACTIONS ON MEDICAL IMAGING
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN:	0278-0062
Date:	January 2007
Volume:	26
Number:	1
Number of Pages:	14
Page Range:	pp. 1-14
Identification Number:	10.1109/TMI.2006.884637
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/32533

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item