21.7.4.4 Medical Applications, Scoliosis

Chapter Contents (Back)
Scoliosis.

Kim, H.S.[Hyoung Seop], Ishikawa, S., Ohtsuka, Y., Shimizu, H., Shinomiya, T., Viergever, M.A.,
Automatic scoliosis detection based on local centroids evaluation on Moire topographic images of human backs,
MedImg(20), No. 12, December 2001, pp. 1314-1320.
IEEE Top Reference. 0201
BibRef

Boisvert, J.[Jonathan], Cheriet, F.[Farida], Pennec, X.[Xavier], Labelle, H.[Hubert], Ayache, N.J.[Nicholas J.],
Geometric Variability of the Scoliotic Spine Using Statistics on Articulated Shape Models,
MedImg(27), No. 4, April 2008, pp. 557-568.
IEEE DOI 0804
BibRef
Earlier: A1, A3, A4, A2, A5:
Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models,
AMDO06(346-355).
Springer DOI 0607
BibRef

Boisvert, J.[Jonathan], Cheriet, F.[Farida], Pennec, X.[Xavier], Labelle, H.[Hubert], Ayache, N.J.[Nicholas J.],
Principal Deformations Modes of Articulated Models for the Analysis of 3D Spine Deformities,
ELCVIA(7), No. 4, 2008, pp. xx-yy.
DOI Link 0909
BibRef

Kadoury, S., Cheriet, F., Labelle, H.,
Personalized X-Ray 3-D Reconstruction of the Scoliotic Spine From Hybrid Statistical and Image-Based Models,
MedImg(28), No. 9, September 2009, pp. 1422-1435.
IEEE DOI 0909
BibRef

Shi, L.[Lin], Wang, D.[Defeng], Heng, P.A.[Pheng Ann], Wong, T.T.[Tien-Tsin], Chu, W.C.W.[Winnie C.W.], Yeung, B.H.Y.[Benson H.Y.], Cheng, J.C.Y.[Jack C.Y.],
Discriminative analysis of skull morphology in adolescent idiopathic scoliosis patients: Comparative study with normal controls,
PR(41), No. 9, September 2008, pp. 2800-2811.
Elsevier DOI 0806
BibRef
And: Erratum: PR(41), No. 12, December 2008, pp. 3860.
Elsevier DOI 0810
Adolescent idiopathic scoliosis; Statistical morphometric analysis; Feature selection; Surface smoothing BibRef

Cheung, C.W.J., Zhou, G.Q., Law, S.Y., Mak, T.M., Lai, K.L., Zheng, Y.P.,
Ultrasound Volume Projection Imaging for Assessment of Scoliosis,
MedImg(34), No. 8, August 2015, pp. 1760-1768.
IEEE DOI 1506
Image reconstruction BibRef

Kadoury, S., Mandel, W., Roy-Beaudry, M., Nault, M.L., Parent, S.,
3-D Morphology Prediction of Progressive Spinal Deformities From Probabilistic Modeling of Discriminant Manifolds,
MedImg(36), No. 5, May 2017, pp. 1194-1204.
IEEE DOI 1705
Image reconstruction, Manifolds, Predictive models, Probabilistic logic, Shape, Solid modeling, 3-D spine reconstruction, adolescent idiopathic scoliosis (AIS), curve progression, deformation prediction, discriminant, manifolds BibRef

Zhou, G.Q., Jiang, W.W., Lai, K.L., Zheng, Y.P.,
Automatic Measurement of Spine Curvature on 3-D Ultrasound Volume Projection Image With Phase Features,
MedImg(36), No. 6, June 2017, pp. 1250-1262.
IEEE DOI 1706
Biomedical measurement, Feature extraction, Image segmentation, Imaging, Phase measurement, Ultrasonic imaging, Ultrasonic variables measurement, 3-D ultrasound, Cobb angle, Scoliosis, phase congruency, thresholding, volume, projection, imaging BibRef


Liu, X.[Xia], Wu, X.P.[Xiao-Peng], Sheng, Z.Q.[Zhao-Qiu], Yang, T.Z.[Tang-Zhu], Wang, L.[Lei], Zhou, Y.[Yangshiyu], Liu, C.[Chuang],
Research of Scoliosis Detection Method Based on Kinect,
ICIVC22(244-247)
IEEE DOI 2301
Point cloud compression, Image segmentation, Smoothing methods, Image color analysis, Filtering, Fitting, X-rays, scoliosis, Cobb angle BibRef

Debanné, P.[Philippe], Ahmad, O.[Ola], Parent, S.[Stefan], Labelle, H.[Hubert], Cheriet, F.[Farida],
A Novel Automatic Method to Evaluate Scoliotic Trunk Shape Changes in Different Postures,
ICIAR17(455-462).
Springer DOI 1706
BibRef

Ahmad, O.[Ola], Lombaert, H.[Herve], Parent, S.[Stefan], Labelle, H.[Hubert], Dansereau, J.[Jean], Cheriet, F.[Farida],
Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis,
SeSAME16(79-91).
Springer DOI 1703
BibRef

Seoud, L.[Lama], Adankon, M.M.[Mathias M.], Labelle, H.[Hubert], Dansereau, J.[Jean], Cheriet, F.[Farida],
Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach,
ICIAR10(II: 10-19).
Springer DOI 1006
BibRef

Mezghani, N.[Neila], Phan, P.[Philippe], Mitiche, A.[Amar], Labelle, H.[Hubert], de Guise, J.A.[Jacques A.],
A Computer-Aided Method for Scoliosis Fusion Level Selection by a Topologicaly Ordered Self Organizing Kohonen Network,
ICPR10(4012-4015).
IEEE DOI 1008
BibRef

Li, H.[Hao], Leow, W.K.[Wee Kheng], Huang, C.H.[Chao-Hui], Howe, T.S.[Tet Sen],
Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images,
CAIP09(647-654).
Springer DOI 0909
BibRef

Thériault, J., Cheriet, F., Guibault, F.,
Automatic Detection of the Back Valley on Scoliotic Trunk Using Polygonal Surface Curvature,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Doré, V.[Vincent], Duong, L.[Luc], Cheriet, F.[Farida], Cheriet, M.[Mohamed],
Towards Segmentation of Pedicles on Posteroanterior X-Ray Views of Scoliotic Patients,
ICIAR07(1028-1039).
Springer DOI 0708
BibRef

Patias, P., Stylianidis, E., Pateraki, M., Chrysanthou, Y., Contozis, C., Zavitsanakis, T.,
3D digital photogrammetric reconstructions for scoliosis screening,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Benameur, S., Mignotte, M., Destrempes, F., de Guise, J.A.,
Estimation of mixtures of probabilistic PCA with stochastic EM for the 3d biplanar reconstruction of scoliotic rib cage,
ICIP04(V: 2949-2952).
IEEE DOI 0505
BibRef

Benameur, S., Mignotte, M., Parent, S., Labelle, H., Skalli, W., de Guise, J.A.,
A hierarchical statistical modeling approach for the unsupervised 3d reconstruction of the scoliotic spine,
ICIP03(I: 561-564).
IEEE DOI 0312
BibRef
Earlier:
3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models,
CVPR01(II:577-582).
IEEE DOI 0110
BibRef

Ishikawa, S., Kosaka, H., Kato, K., Otsuka, Y.,
A Method of Analyzing a Shape with Potential Symmetry and Its Application to Detecting Spinal Deformity,
CVRMed95(XX-YY) BibRef 9500

Peuchot, B., Tanguy, A., Eude, M.,
Virtual Reality as an Operative Tool During Scoliosis Surgery,
CVRMed95(XX-YY) BibRef 9500

Batouche, M.,
A Knowledge Based System for Diagnosing Spinal Deformations: Moire Pattern Analysis and Interpretation,
ICPR92(I:591-594).
IEEE DOI BibRef 9200

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Wrist Joints .


Last update:Mar 16, 2024 at 20:36:19