Information Technology Reference
In-Depth Information
39. Hedlund L, Gallagher J (1988) Vertebral morphometry in diagnosis of spinal fractures. Bone
and Mineral 5(1):59 - 67
40. Hoad CL, Martel AL (2002) Segmentation of MR images for computer-assisted surgery of
the lumbar spine. Phys Med Biol 47(19):3503 - 3517
41. Horsfield MA, Sala S, Neema M, Absinta M, Bakshi A, Sormani MP, Rocca MA, Bakshi R,
Filippi M (2010) Rapid semi-automatic segmentation of the spinal cord from magnetic
resonance images: application in multiple sclerosis. NeuroImage 50(2):446
455
42. Howe B, Gururajan A, Sari-Sarraf H, Long L (2004) Hierarchical segmentation of cervical
and lumbar vertebrae using a customized generalized Hough transform and extensions to
active appearance models. In: 6th IEEE southwest symposium on image analysis and
interpretation 2004, pp 182
-
186
43. Huang S, Chu Y, Lai S, Novak CL (2009) Learning-based vertebra detection and iterative
normalized-cut segmentation for spinal MRI. Med Imaging, IEEE Trans 28(10):1595
-
1605
44. Jackson A, Sheppard S, Johnson A, Annesley D, Laitt R, Kassner A (1999) Combined fat-
and water-suppressed MR imaging of orbital
-
tumors. AJNR Am J Neuroradiol 20
(10):1963 - 1969
45. J ä ger F, Hornegger J, Schwab S, Janka R (2009) Computer-aided assessment of anomalies in
the scoliotic spine in 3D MRI images. In: Proceedings of the 12th international conference on
medical image computing and computer-assisted intervention: part II, MICCAI ' 09. Springer,
Berlin, pp 819 - 826
46. Kadoury S, Labelle H, Paragios N (2011) Automatic inference of articulated spine models in
CT images using high-order Markov random fields. Med Image Anal 15(4):426 - 437 (special
section on IPMI 2009)
47. Kaminsky J, Klinge P, Rodt T, Bokemeyer M, Luedemann W, Samii M (2004) Specially
adapted interactive tools for an improved 3D-segmentation of the spine. Comput Med
Imaging Graph 28(3):119
127
48. Karangelis G, Zimeras S (2002) An accurate 3D segmentation method of the spinal canal
applied to CT data. In: Meiler M, Saupe D, Kruggel F, Handels H, Lehmann T (eds)
Bildverarbeitung fr die Medizin 2002. Springer Berlin, Informatik aktuell, pp 370
-
373
49. Kass M, Wittkin A, Terzopoulos D (1987) Snakes, active contour models. Int J Comput
Vision 1:321
-
331
50. Kim Y, Kim D (2009) A fully automatic vertebra segmentation method using 3D deformable
fences. Comput Med Imaging Graph 33(5):343
-
352
51. Klinder T, Wolz R, Lorenz C, Franz A, Ostermann J (2008) Spine segmentation using
articulated shape models. In: Proceedings of the 11th international conference on medical
image computing and computer-assisted intervention part I, MICCAI ' 08. Springer, Berlin,
pp 227 - 234
52. Klinder T, Ostermann J, Ehm M, Franz A, Kneser R, Lorenz C (2009) Automated model-
based vertebra detection, identi cation, and segmentation in CT images. Med Image Anal 13
(3):471 - 482
53. Koh J, Kim T, Chaudhary V, Dhillon G (2010) Automatic segmentation of the spinal cord
and the dural SAC in lumbar MR images using gradient vector
-
flow field. In: Proceedings of
the 32nd annual international conference of the IEEE Engineering in Medicine and Biology
Society, EMBC, pp 2117
fl
2120
54. Koh J, Scott PD, Chaudhary V, Dhillon G (2011) An automatic segmentation method of the
spinal canal from clinical MR images based on an attention model and an active contour
model. In: Proceedings on IEEE international symposium on biomedical imaging, ISBI,
pp 1467
-
1471
55. Koh J, Chaudhary V, Dhillon G (2012) Disc herniation diagnosis in MRI using a CAD
framework and a two-level classi er. Int J Comput Assist Radiol Surg 7(6):861
-
869
56. Koompairojn S, Hua KA, Bhadrakom C (2006) Automatic classi cation system for lumbar
spine X-ray images. In: Proceedings of the 19th IEEE symposium on computer-based
medical systems, CBMS ' 06. IEEE Computer Society, Washington, DC, pp 213 - 218
-
Search WWH ::




Custom Search