Automated segmentation of the quadratus lumborum muscle from magnetic resonance images using a hybrid atlas based - Geodesic active contour scheme

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 867-870

  Jurcak, V ^a   Fripp, J ^a,b   Engstrom, C ^a   Walker, D ^c   Salvado, O ^b   Ourselin, S ^b   Crozier, S ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b CSIRO   (Australia)

^c WESLEY HOSPITAL   (Australia)

Author keywords

Automatic segmentation; Geodesic active contours; MRI; Probability atlases; Quadratus lumborum

Indexed keywords

ENTROPY; GEODESY; GRANULAR MATERIALS; INTERPOLATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MUSCLE;

AUTOMATED SEGMENTATION; AUTOMATIC SEGMENTATIONS; BIAS FIELD CORRECTIONS; GEODESIC ACTIVE CONTOUR; INTERPOLATION ALGORITHMS; MANUAL SEGMENTATION; NONRIGID REGISTRATION; QUADRATUS LUMBORUM;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BACK; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACK; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 61849155149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649291     Document Type: Conference Paper

References (9)

1. C. M. Engstrom, D. G. Walker, V. Kippers, and A. J. H. Mehnert, "Quadratus lumborum asymmetry and L4 Pars injury in fast bowlers: A prospective MR study," Medicine and Science in Sports and Exercise, vol. 39, pp. 910-917, 2007.
2. O. Salvado, C. Hillenbrand, S. X. Zhang, and D. L. Wilson, "Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization," IEEE Transactions on Medical Imaging, vol. 25, pp. 539-552, 2006.
3. O. Salvado, C. M. Hillenbrand, and D. L. Wilson, "Partial volume reduction by interpolation with reverse diffusion," International Journal of Biomedical Imaging, vol. 2006, pp. 13, 2006.
4. T. Rohlfing, R. Brandt, R. Menzel, and C. R. Maurer, "Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocol microscopy images of bee brains," Neuroimage, vol. 21, pp. 1428-1442, 2004.
5. S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache, "Reconstructing a 3D structure from serial histological sections," Image and Vision Computing, vol. 19, pp. 25-31, 2001.
6. D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes, "Nonrigid registration using free-form deformations: Application to breast MR images," Ieee Transactions on Medical Imaging, vol. 18, pp. 712-721, 1999.
7. V. Jurcak, J. Fripp, C. Engstrom, D. Walker, O. Salvado, S. Ourselin, and S. Crozier, "Atlas based automated segmentation of the quadratus lumborum muscle using non-rigid registration on magnetic resonance images of the thoracolumbar region," ISBI, 2008.
8. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic active contours," International Journal of Computer Vision, vol. 22, pp. 61-79, 1997.
9. L. R. Dice, "Measures of the Amount of Ecologic Association between Species," Ecology, vol. 26, pp. 297-302, 1945.