DocumentCode
140953
Title
Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation
Author
Lui, Dorothy ; Scharfenberger, Christian ; De Carvalho, Diana E. ; Callaghan, Jack P. ; Wong, Alexander
Author_Institution
Vision & Image Process. Lab., Univ. of Waterloo, Waterloo, ON, Canada
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
5530
Lastpage
5533
Abstract
Rehabilitative Ultrasound Imaging or diagnostic ultrasound is used to measure geometric properties of the lumbar multifidus muscle to infer muscle strength or degeneration for back pain therapy. For this purpose, a novel semi-automatic approach (FTS: Fisher-Tippett Segmentation) based upon the Decoupled Active Contour is proposed to reliably and quickly segment the lumbar multifidus muscle in diagnostic ultrasound. To overcome speckle or hardly visible region boundaries in ultrasound images, we first propose a novel external energy functional to explicitly consider the underlying Fisher-Tippett distribution of ultrasound data. We then introduce a user-guided Hidden Markov Model trellis formation for improved segmentation of weakly-defined regions. Extensive experiments have shown that our approach not only improves the segmentation performance when compared to existing methods, but also does not rely on sub-specialized knowledge for segmentation.
Keywords
biomedical ultrasonics; hidden Markov models; image segmentation; medical image processing; muscle; back pain therapy; decoupled active contour; diagnostic ultrasound; external energy functional; hidden Markov model trellis formation; lumbar multifidus muscle segmentation; muscle degeneration; muscle strength; rehabilitative ultrasound imaging; semiautomatic Fisher-Tippett guided active contour; Active contours; Back; Hidden Markov models; Image segmentation; Medical treatment; Muscles; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944879
Filename
6944879
Link To Document