Automatic boundary extraction from magnetic resonance images of the residual limb of a trans-femoral amputee

Author

Douglas, T.S. ; Solomonidis, S.E. ; Lee, V.S.P. ; Spence, W.D.

Author_Institution

Bioeng. Unit, Strathclyde Univ., Glasgow, UK

Volume

2

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

577

Abstract

Information about the relative locations of different tissue types in the residual limb is required for biomechanical analysis of the interaction between the limb and the prosthetic socket. An automatic method for the extraction of the boundaries of muscle, fat, and bone from transverse magnetic resonance images of the residual limb of a unilateral trans-femoral amputee is presented. Median filtering is applied for smoothing, segmentation is achieved by k-means clustering, and boundaries are extracted using mathematical morphology

Keywords

biomedical MRI; edge detection; image segmentation; medical image processing; muscle; orthopaedics; automatic boundary extraction; biomechanical analysis; k-means clustering; limb-prosthetic socket interaction; magnetic resonance images; magnetic resonance imaging; mathematical morphology; medical diagnostic imaging; residual limb; trans-femoral amputee; Bones; Data mining; Filtering; Information analysis; Magnetic analysis; Magnetic resonance; Magnetic separation; Muscles; Prosthetics; Sockets;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757675

Filename

757675