Information Technology Reference
In-Depth Information
Acknowledgments We wish to thank M.-A. Drouin whose astute comments greatly improved
the manuscript. We would also like to acknowledge Dr. H. Labelle and the Sainte-Justine Hospital
(Montreal, Canada) staff for meticulously collecting a large number of high quality 3D recon-
structions of the spine over many years and for giving us access to some of these reconstructions.
Statistical methods are quite powerful, but they are useless without good data.
References
1. Aubin CE, Dansereau J, Parent F, Labelle H, de Guise J (1997) Morphometric evaluations of
personalised 3D reconstructions and geometric models of the human spine. Med Bio Eng
Comp 35
2. Becker M, Kirschner M, Fuhrmann S, Wesarg S (2011) Automatic construction of statistical
shape models for vertebrae. In: Medical image computing and computer-assisted intervention,
Springer, Berlin, pp 500
507
3. Benameur S, Mignotte M, Parent S, Labelle H, Skalli W, de Guise J (2003) 3D/2D registration
and segmentation of scoliotic vertebrae using statistical models. Comput Med Imaging
Graph 27(5):321
-
337
4. Boisvert J, Cheriet F, Pennec X, Labelle H, Ayache N (2008) Articulated spine models for 3-D
reconstruction from partial radiographic data. IEEE Trans Biomed Eng 55(11):2565 - 2574
5. Boisvert J, Cheriet F, Pennec X, Labelle H, Ayache N (2008) Geometric variability of the
scoliotic spine using statistics on articulated shape models. IEEE Trans Med Imaging 27
(4):557 - 568
6. Boothby WM (1986) An introduction to differentiable manifolds and Riemannian geometry,
vol 120. Academic Press, Massachusetts
7. Cootes TF, Taylor CJ, Cooper DH, Graham J (1995) Active shape models-their training and
application. Comput Vis Image Underst 61(1):38
-
59
-
8. Corso JJ, Raja
S A, Chaudhary V (2008) Lumbar disc localization and labeling with a
probabilistic model on both pixel and object features. In: Medical image computing and
computer-assisted intervention, Springer, Berlin, pp 202
'
210
9. Cresson T, Chav R, Branchaud D, Humbert L, Godbout B, Aubert B, Skalli W, De Guise JA
(2009) Coupling 2D/3D registration method and statistical model to perform 3D
reconstruction from partial X-rays images data. In: IEEE engineering in medicine and
biology conference, pp 1008
-
1011
10. de Bruijne M, Lund MT, Tank
-
LB, Pettersen PC, Nielsen M (2007) Quantitative vertebral
morphometry using neighbor-conditional shape models. Med Image Anal 11(5):503 - 512
11. Delorme S, Labelle H, Aubin CE, de Guise JA, Rivard CH, Poitras B, Coillard C, Dansereau J
(1999) Intraoperative comparison of two instrumentation techniques for the correction of
adolescent idiopathic scoliosis. Rod rotation and translation. Spine 24:2011 - 2011
12. Delorme S, Labelle H, Aubin CE, de Guise JA, Rivard CH, Poitras B, Dansereau J (2000) A
three-dimensional
รณ
radiographic
comparison
of
Cotrel-Dubousset
and
colorado
instrumentations for the correction of idiopathic scoliosis. Spine 25:205 - 210
13. Delorme S, Labelle H, Poitras B, Rivard CH, Coillard C, Dansereau J (2000) Pre-, intra-, and
postoperative three-dimensional evaluation of adolescent idiopathic scoliosis. J Spinal Disord 13
14. Dong X, Zheng G (2010) Automated vertebra identification from X-ray images. In: Image
analysis and recognition, Springer, Berlin, pp 1
9
15. Duda RO, Hart PE, Stork DG (2012) Pattern classification. Wiley, New York
16. Elias de Oliveira M, Reutlinger C, Zheng G, Hasler C, Buchler P (2010) Statistical shape
modeling of pathological scoliotic vertebrae: a comparative analysis. In: 2010 annual
international conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
IEEE, pp 5939
-
5942
-
Search WWH ::




Custom Search