20.7.3.3 Medical Applications, Vertebra, Spine, Skeletons, Bone

Chapter Contents (Back)
Vertebra. Skeletal. Spine. See also Medical Applications, Scoliosis.

Levine, M.D., Leemet, J.,
Computer recognition of the human spinal outline using radiographic image processing,
PR(7), No. 4, December 1975, pp. 177-185.
WWW Link. 0309
BibRef

Dill, R.J.[Richard J.], Lam, C.F.[Chan F.], Katz, S.[Sidney],
Feature enhancement techniques for the detection of spinal cord injury,
PR(8), No. 3, July 1976, pp. 163-172.
WWW Link. 0309
BibRef

Smyth, P.P., Taylor, C.J., Adams, J.E.,
Automatic-Measurement of Vertebral Shape Using Active Shape Models,
IVC(15), No. 8, August 1997, pp. 575-581.
WWW Link. 9708
BibRef
Earlier: WACV96(176-180).
IEEE DOI 9609
BibRef
Earlier: BMVC96(Applications). 9608
University of Manchester BibRef

Huynh, T.N., Dansereau, J., Maurais, G.,
Development of a vertebral endplate 3-D reconstruction technique,
MedImg(16), No. 5, October 1997, pp. 689-696.
IEEE Top Reference. 0205
BibRef

Zubairi, J.A.[Junaid Ahmed],
Applications of computer-aided rasterstereography in spinal deformity detection,
IVC(20), No. 4, April 2002, pp. 319-324.
WWW Link. 0203
BibRef

Archip, N., Erard, P.J., Egmont-Petersen, M., Haefliger, J.M., Germond, J.F.,
A knowledge-based approach to automatic detection of the spinal cord in ct images,
MedImg(21), No. 12, December 2002, pp. 1504-1516.
IEEE Top Reference. 0301
BibRef

Wong, C., Gehrchen, P.M., Darvann, T.A., Kiaer, T.,
Nonlinear finite-element analysis and biomechanical evaluation of the lumbar spine,
MedImg(22), No. 6, June 2003, pp. 742-746.
IEEE Abstract. 0308
BibRef

Zheng, Y., Nixon, M.S., Allen, R.,
Automated Segmentation of Lumbar Vertebrae in Digital Videofluoroscopic Images,
MedImg(23), No. 1, January 2004, pp. 45-52.
IEEE Abstract. 0403
BibRef

Antani, S.[Sameer], Lee, D.J., Long, L.R.[L. Rodney], Thoma, G.R.[George R.],
Evaluation of shape similarity measurement methods for spine X-ray images,
JVCIR(15), No. 3, September 2004, pp. 285-302.
WWW Link. 0711
Content-based image retrieval; Medical image databases; Shape representation; Performance evaluation BibRef

Seifert, S., Wachter, I., Schmelzle, G., Dillmann, R.,
A Knowledge-Based Approach to Soft Tissue Reconstruction of the Cervical Spine,
MedImg(28), No. 4, April 2009, pp. 494-507.
IEEE DOI 0904
BibRef

Lam, S.C.B.[Shing Chun Benny], McCane, B.[Brendan], Allen, R.[Robert],
Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis,
IVC(27), No. 10, 2 September 2009, pp. 1555-1571.
Elsevier DOI 0906
Videofluoroscopy; Spine kinematics; Particle filter; Dynamic Bayesian network; Image processing BibRef

Huang, S.H., Chu, Y.H., Lai, S.H., Novak, C.L.,
Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI,
MedImg(28), No. 10, October 2009, pp. 1595-1605.
IEEE DOI 0910
BibRef

Das, P.[Pranati], Mukhopadhyay, S.[Sudipta],
Cervical spine image retrieval with semantic shape features,
IJCVR(1), No. 2, 2010, pp. 136-146.
DOI Link 1011
BibRef

Crimi, A., Lillholm, M., Nielsen, M., Ghosh, A., de Bruijne, M., Dam, E.B., Sporring, J.,
Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling,
MedImg(30), No. 8, August 2011, pp. 1514-1526.
IEEE DOI 1108
BibRef

Das, K.[Koel], Majumder, A.[Aditi], Siegenthaler, M.[Monica], Keirstead, H.[Hans], Gopi, M.,
Automated cell classification and visualization for analyzing remyelination therapy,
VC(27), No. 12, December 2011, pp. 1055-1069.
WWW Link. 1112
BibRef
Earlier:
Automated analysis of remyelination therapy for spinal cord injury,
ICCVGIP10(314-321).
DOI Link 1111
BibRef

Alomari, R.S., Corso, J.J., Chaudhary, V.,
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model,
MedImg(30), No. 1, January 2011, pp. 1-10.
IEEE DOI 1101
BibRef

Tanimoto, Y., Nanba, K., Tokuhiro, A., Ukida, H., Yamamoto, H.,
Image measurement of body position during side-approach transfer motion,
IET-IPR(5), No. 5, 2011, pp. 402-409.
DOI Link 1108
spinal cord injury patients. BibRef

Ma, J.[Jun], Lu, L.[Le],
Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model,
CVIU(117), No. 9, 2013, pp. 1072-1083.
Elsevier DOI 1307
Supervised edge detection BibRef

Wu, T.[Tao], Jian, B.[Bing], Zhou, X.S.[Xiang Sean],
Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit,
MVA(24), No. 7, October 2013, pp. 1331-1339.
WWW Link. 1309
BibRef
Earlier: MLMI11(126-133).
Springer DOI 1109
BibRef

Zhang, J.H.[Jun-Hua], Lv, L.[Liang], Shi, X.L.[Xin-Ling], Guo, F.[Fei], Zhang, Y.F.[Yu-Feng], Li, H.J.[Hong-Jian],
Hough transform-based approach for estimating 3D rotation angles of vertebrae from biplanar radiographs using GPU-acceleration,
IJIST(23), No. 3, 2013, pp. 272-279.
DOI Link 1309
vertebral rotation angle BibRef

Mysling, P.[Peter], Petersen, K.[Kersten], Nielsen, M.[Mads], Lillholm, M.[Martin],
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models,
MVA(24), No. 7, October 2013, pp. 1421-1434.
Springer DOI 1309
BibRef

Rasoulian, A., Rohling, R., Abolmaesumi, P.,
Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model,
MedImg(32), No. 10, 2013, pp. 1890-1900.
IEEE DOI 1311
bone See also Group-Wise Registration of Point Sets for Statistical Shape Models. BibRef

Hacihaliloglu, I., Rasoulian, A., Rohling, R.N., Abolmaesumi, P.,
Local Phase Tensor Features for 3-D Ultrasound to Statistical Shape+Pose Spine Model Registration,
MedImg(33), No. 11, November 2014, pp. 2167-2179.
IEEE DOI 1411
Gabor filters BibRef

Aslan, M.S.[Melih S.], Shalaby, A., Farag, A.A.[Aly A.],
Vertebral body segmentation using a probabilistic and universal shape model,
IET-CV(9), No. 2, 2015, pp. 234-250.
DOI Link 1506
bone BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Rara, H.[Ham], Farag, A.A.[Aly A.],
An automated vertebra identification and segmentation in CT images,
ICIP10(233-236).
IEEE DOI 1009
BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Chen, D.Q.[Dong-Qing], Arnold, B.[Ben], Farag, A.A.[Aly A.], Xiang, P.[Ping],
3D vertebrae segmentation using graph cuts with shape prior constraints,
ICIP10(2193-2196).
IEEE DOI 1009
BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Farag, A.A.[Aly A.], Rara, H.[Ham], Arnold, B.[Ben], Xiang, P.[Ping],
3D Vertebral Body Segmentation Using Shape Based Graph Cuts,
ICPR10(3951-3954).
IEEE DOI 1008
BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Farag, A.A.[Aly A.], Arnold, B.[Ben], Chen, D.Q.[Dong-Qing], Xiang, P.[Ping],
3D Vertebrae Segmentation in CT Images with Random Noises,
ICPR10(2290-2293).
IEEE DOI 1008
BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Arnold, B.[Ben], Fahmi, R.[Rachid], Farag, A.A.[Aly A.], Xiang, P.[Ping],
Segmentation of trabecular bones from Vertebral bodies in volumetric CT spine images,
ICIP09(3385-3388).
IEEE DOI 0911
BibRef

Aslan, M.S.[Melih S.], Ali, A.[Asem], Rara, H.[Ham], Arnold, B.[Ben], Farag, A.A.[Aly A.], Fahmi, R.[Rachid], Xiang, P.[Ping],
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts,
ISVC09(II: 519-528).
Springer DOI 0911
BibRef

Ibragimov, B., Likar, B., Pernus, F., Vrtovec, T.,
A Game-Theoretic Framework for Landmark-Based Image Segmentation,
MedImg(31), No. 9, September 2012, pp. 1761-1776.
IEEE DOI 1209
BibRef

Ibragimov, B., Likar, B., Pernus, F., Vrtovec, T.,
Shape Representation for Efficient Landmark-Based Segmentation in 3-D,
MedImg(33), No. 4, April 2014, pp. 861-874.
IEEE DOI 1404
Image segmentation BibRef

Korez, R., Ibragimov, B., Likar, B.[Bostjan], Pernus, F.[Franjo], Vrtovec, T.[Tomaz],
A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation,
MedImg(34), No. 8, August 2015, pp. 1649-1662.
IEEE DOI 1506
Computed tomography BibRef

Pereanez, M., Lekadir, K., Castro-Mateos, I., Pozo, J.M., Lazary, A., Frangi, A.F.,
Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models,
MedImg(34), No. 8, August 2015, pp. 1627-1639.
IEEE DOI 1506
Computational modeling BibRef

Wang, Z., Zhen, X., Tay, K., Osman, S., Romano, W., Li, S.,
Regression Segmentation for M3 Spinal Images,
MedImg(34), No. 8, August 2015, pp. 1640-1648.
IEEE DOI 1506
BibRef
And: Correction: MedImg(34), No. 9, September 2015, pp. 1989-1989.
IEEE DOI 1509
Computed tomography BibRef

Castro-Mateos, I., Pozo, J.M., Pereanez, M., Lekadir, K., Lazary, A., Frangi, A.F.,
Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation,
MedImg(34), No. 8, August 2015, pp. 1663-1675.
IEEE DOI 1506
Computational modeling BibRef

Cai, Y., Osman, S., Sharma, M., Landis, M., Li, S.,
Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model,
MedImg(34), No. 8, August 2015, pp. 1676-1693.
IEEE DOI 1506
Computed tomography BibRef

Wang, Q., Lu, L., Wu, D., El-Zehiry, N., Zheng, Y., Shen, D., Zhou, K.S.,
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement,
MedImg(34), No. 8, August 2015, pp. 1694-1704.
IEEE DOI 1506
Computed tomography BibRef

de Leener, B., Cohen-Adad, J., Kadoury, S.,
Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling,
MedImg(34), No. 8, August 2015, pp. 1705-1718.
IEEE DOI 1506
Deformable models BibRef

Chen, C., Belavy, D., Yu, W., Chu, C., Armbrecht, G., Bansmann, M., Felsenberg, D., Zheng, G.,
Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation,
MedImg(34), No. 8, August 2015, pp. 1719-1729.
IEEE DOI 1506
Estimation BibRef

Wucherer, P., Stefan, P., Abhari, K., Fallavollita, P., Weigl, M., Lazarovici, M., Winkler, A., Weidert, S., Peters, T., de Ribaupierre, S., Eagleson, R., Navab, N.,
Vertebroplasty Performance on Simulator for 19 Surgeons Using Hierarchical Task Analysis,
MedImg(34), No. 8, August 2015, pp. 1730-1737.
IEEE DOI 1506
Biomedical imaging BibRef

Helm, P.A., Teichman, R., Hartmann, S.L., Simon, D.,
Spinal Navigation and Imaging: History, Trends, and Future,
MedImg(34), No. 8, August 2015, pp. 1738-1746.
IEEE DOI 1506
Accuracy BibRef

Lekadir, K., Hoogendoorn, C., Hazrati-Marangalou, J., Taylor, Z., Noble, C., van Rietbergen, B., Frangi, A.F.,
A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT,
MedImg(34), No. 8, August 2015, pp. 1747-1759.
IEEE DOI 1506
Biomechanics BibRef

Liao, S., Zhan, Y., Dong, Z., Yan, R., Gong, L., Zhou, X.S., Salganicoff, M., Fei, J.,
Automatic Lumbar Spondylolisthesis Measurement in CT Images,
MedImg(35), No. 7, July 2016, pp. 1658-1669.
IEEE DOI 1608
bone BibRef

Reaungamornrat, S., De Silva, T., Uneri, A., Vogt, S., Kleinszig, G., Khanna, A.J., Wolinsky, J.P., Prince, J.L., Siewerdsen, J.H.,
MIND Demons: Symmetric Diffeomorphic Deformable Registration of MR and CT for Image-Guided Spine Surgery,
MedImg(35), No. 11, November 2016, pp. 2413-2424.
IEEE DOI 1609
Computed tomography 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, Three-dimensional displays, 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

Baka, N., Leenstra, S., van Walsum, T.,
Ultrasound Aided Vertebral Level Localization for Lumbar Surgery,
MedImg(36), No. 10, October 2017, pp. 2138-2147.
IEEE DOI 1710
biomedical ultrasonics, bone, image matching, image registration, medical neural nets, surgery, ultrasonic imaging, 2D sagittal US, US images, BibRef

Al Arif, S.M.M.R.[S.M. Masudur Rahman], Asad, M.[Muhammad], Gundry, M.[Michael], Knapp, K.[Karen], Slabaugh, G.G.[Gregory G.],
Patch-based corner detection for cervical vertebrae in X-ray images,
SP:IC(59), No. 1, 2017, pp. 27-36.
Elsevier DOI 1711
Cervical BibRef

Abufadel, A.[Amer], Slabaugh, G.G.[Gregory G.], Unal, G.[Gozde], Zhang, L.[Li], Odry, B.[Benjamin],
Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation,
ICPR06(I: 1013-1016).
IEEE DOI 0609
BibRef


Nřhr, A.K.[Anne Krogh], Pilgaard, L.P.[Louise Pedersen], Hansen, B.D.[Bolette Dybkjćr], Nedergaard, R.[Rasmus], Haavik, H.[Heidi], Lindstroem, R.[Rene], Plocharski, M.[Maciej], Řstergaard, L.R.[Lasse Riis],
Semi-automatic Method for Intervertebral Kinematics Measurement in the Cervical Spine,
SCIA17(II: 302-313).
Springer DOI 1706
BibRef

Bampis, C.G., Bovik, A.C., Markey, M.K., Webb, K.M.,
Segmentation and extraction of the spinal canal in sagittal MR images,
Southwest16(5-8)
IEEE DOI 1605
Back BibRef

Berton, F.[Florian], Azzabi, W.[Wassim], Cheriet, F.[Farida], Laporte, C.[Catherine],
Automatic Segmentation of Vertebrae in Ultrasound Images,
ICIAR15(344-351).
Springer DOI 1507
BibRef

Larhmam, M.A., Mahmoudi, S., Benjelloun, M.,
Semi-automatic detection of cervical vertebrae in X-ray images using generalized hough transform,
IPTA12(396-401)
IEEE DOI 1503
Hough transforms BibRef

Haq, R.[Rabia], Besachio, D.A.[David A.], Borgie, R.C.[Roderick C.], Audette, M.A.[Michel A.],
Using Shape-Aware Models for Lumbar Spine Intervertebral Disc Segmentation,
ICPR14(3191-3196)
IEEE DOI 1412
Deformable models BibRef

Larhmam, M.A.[Mohamed Amine], Mahmoudi, S.A.[Sidi Ahmed], Benjelloun, M.[Mohammed], Mahmoudi, S.[Saďd], Manneback, P.[Pierre],
A Portable Multi-CPU/Multi-GPU Based Vertebra Localization in Sagittal MR Images,
ICIAR14(II: 209-218).
Springer DOI 1410
BibRef

Chen, C.[Cheng], Belavy, D., Zheng, G.Y.[Guo-Yan],
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification,
MLMI14(50-58).
Springer DOI 1410
BibRef

Yen, C.[Chih], Su, H.R.[Hong-Ren], Lai, S.H.[Shang-Hong],
Reconstruction of 3D Vertebrae and Spinal Cord Models from CT and STIR-MRI Images,
ACPR13(150-154)
IEEE DOI 1408
biomedical MRI BibRef

Pazokifard, B.[Banafsheh], Sowmya, A.[Arcot],
Efficient graph cuts based extraction of vertebral column and ribs in lung MDCT images,
ICIP13(1182-1186)
IEEE DOI 1402
Biomedical imaging BibRef

Ponciano-Silva, M.[Marcelo], Bugatti, P.H.[Pedro H.], Reis, R.M.[Rafael M.], Azevedo-Marques, P.M.[Paulo M.],
A Differential Method for Representing Spinal MRI for Perceptual-CBIR,
CIARP13(I:464-471).
Springer DOI 1311
BibRef

Nait-charif, H.[Hammadi], Breen, A.[Allen], Thompson, P.[Paul],
Vertebrae Tracking in Lumbar Spinal Video-fluoroscopy Using Particle Filters with Semi-automatic Initialisation,
ISVC12(II: 61-69).
Springer DOI 1209
BibRef

Cunha, P.[Pedro], Moura, D.C.[Daniel C.], Barbosa, J.G.[Jorge G.],
Pedicle Detection in Planar Radiographs Based on Image Descriptors,
ICIAR12(II: 278-285).
Springer DOI 1206
BibRef

Kelm, B.M.[B. Michael], Zhou, S.K.[S. Kevin], Suehling, M.[Michael], Zheng, Y.F.[Ye-Feng], Wels, M.[Michael], Comaniciu, D.[Dorin],
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning,
MCV10(96-105).
Springer DOI 1009
BibRef

Lecron, F.[Fabian], Benjelloun, M.[Mohammed], Mahmoudi, S.[Said],
Points of interest detection in cervical spine radiographs by polygonal approximation,
IPTA10(81-86).
IEEE DOI 1007
BibRef

Harmouche, R.[Rola], Cheriet, F.[Farida], Labelle, H.[Hubert], Dansereau, J.[Jean],
Articulated Model Registration of MRI/X-Ray Spine Data,
ICIAR10(II: 20-29).
Springer DOI 1006
BibRef

Neubert, A., Fripp, J., Shen, K.[Kaikai], Salvado, O., Schwarz, R., Lauer, L., Engstrom, C., Crozier, S.,
Automated 3D Segmentation of Vertebral Bodies and Intervertebral Discs from MRI,
DICTA11(19-24).
IEEE DOI 1205
BibRef

Crimi, A.[Alessandro],
Unsupervised shape clustering of vertebra shapes using simulated annealing and nonlinear dimensionality reduction,
ICCVGIP10(124-131).
DOI Link 1111
BibRef

Mysling, P.[Peter], Petersen, K.[Kersten], Nielsen, M.[Mads], Lillholm, M.[Martin],
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach,
MLMI11(10-17).
Springer DOI 1109
BibRef

Hao, S.J.[Shi-Jie], Jiang, J.G.[Jian-Guo], Guo, Y.R.[Yan-Rong], Zhan, S.[Shu],
Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space,
ICIG11(320-324).
IEEE DOI 1109
BibRef

da Rocha Neto, A.R.[Ajalmar R.], Sousa, R.[Ricardo], de A. Barreto, G.[Guilherme], Cardoso, J.S.[Jaime S.],
Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option,
IbPRIA11(588-595).
Springer DOI 1106
BibRef

Zhang, J.H.[Jun-Hua], Shi, X.L.[Xin-Ling], Wang, Y.Y.[Yuan-Yuan], Lv, L.[Liang], Wu, J.[Jun],
Snake-based approach for segmenting pedicles in radiographs and its application in three-dimensional vertebrae reconstruction,
ICIP10(2569-2572).
IEEE DOI 1009
BibRef

Moura, D.C.[Daniel C.], Boisvert, J.[Jonathan], Barbosa, J.G.[Jorge G.], Tavares, J.M.R.S.[Joăo Manuel R. S.],
Fast 3D Reconstruction of the Spine Using User-Defined Splines and a Statistical Articulated Model,
ISVC09(I: 586-595).
Springer DOI 0911
BibRef

Mustapha, A.[Aouache], Hussain, A.[Aini], Abd Samad, S.[Salina], bin Abdul Hamid, H.[Hamzaini], Ariffin, A.K.[Ahmad Kamal],
Automatic Vertebral Fracture Assessment System (AVFAS) for Spinal Pathologies Diagnosis Based on Radiograph X-Ray Images,
IVIC09(122-135).
Springer DOI 0911
BibRef

Sommer, S.[Stefan], Tatu, A.[Aditya], Chen, C.[Chen], Jurgensen, D.R.[Dan R.], de Bruijne, M.[Marleen], Loog, M.[Marco], Nielsen, M.[Mads], Lauze, F.[Francois],
Bicycle chain shape models,
MMBIA09(157-163).
IEEE DOI 0906
Landmark-based preshapes, with shapes defined from orbits. vertebra shapes from X-rays. BibRef

Ling, J.[Jian], Bartels, K.[Keith], Nicolella, D.[Daniel],
A Deformable Statistical Shape Model Applied to Three-Dimensional Lumbar Vertebra Images,
Southwest08(133-136).
IEEE DOI 0803
BibRef

Gururajan, A.[Arunkumar], Kamalakannan, S.[Sridharan], Shahriar, M.[Muneem], Sari-Sarraf, H.[Hamed],
Analysis Tool for Digitized Cervical and Lumbar Vertebrae Images,
Southwest08(197-200).
IEEE DOI 0803
BibRef

Santiesteban, Y., Salvador-Sánchez, J., Martínez Sotoca, J.[José],
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures,
CIARP06(168-177).
Springer DOI 0611
BibRef

Ng, M.C., Hu, Y., Wu, E.X., Yang, E.S., Luk, K.D.K.,
Diffusion Tensor-Based Fiber Tracking in Cervical Spinal Cord with a 3T MRI,
Southwest06(76-80).
IEEE DOI 0603
BibRef

Nyúl, L.G.[László G.], Kanyó, J.[Judit], Máté, E.[Eörs], Makay, G.[Géza], Balogh, E.[Emese], Fidrich, M.[Márta], Kuba, A.[Attila],
Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images,
CAIP05(456).
Springer DOI 0509
BibRef

Kim, H.S., Ishida, K., Ishikawa, S., Ohtsuka, Y.,
Automatic Judgement of Spinal Deformity from Moire Images Employing Asymmetry of Local Centroids Location,
MVA98(xx-yy). BibRef 9800

Benjelloun, M., Rico, G., Mahmoudi, S., Prévot, R.,
Vertebral Mobility Analysis Using Anterior Faces Detection,
ACIVS07(897-908).
Springer DOI 0708
BibRef

Lecron, F.[Fabian], Benjelloun, M.[Mohammed], Mahmoudi, S.[Saďd],
Descriptive Image Feature for Object Detection in Medical Images,
ICIAR12(II: 331-338).
Springer DOI 1206
BibRef

Benjelloun, M.[Mohammed], Mahmoudi, S.[Said],
Mobility Estimation and Analysis in Medical X-ray Images Using Corners and Faces Contours Detection,
IMVIP07(106-116).
IEEE DOI 0709
BibRef

Mahmoudi, S.[Saďd], Benjelloun, M.[Mohammed],
A New Approach for Cervical Vertebrae Segmentation,
CIARP07(753-762).
Springer DOI 0711
BibRef

Chevrefils, C.[Claudia], Chériet, F.[Farida], Grimard, G.[Guy], Aubin, C.E.[Carl-Eric],
Watershed Segmentation of Intervertebral Disk and Spinal Canal from MRI Images,
ICIAR07(1017-1027).
Springer DOI 0708
BibRef

Dong, X.[Xiao], Zheng, G.Y.[Guo-Yan],
Automated Vertebra Identification from X-Ray Images,
ICIAR10(II: 1-9).
Springer DOI 1006
BibRef

Benjelloun, M., Mahmoudi, S., Tellez, H.,
Vertebrae EDGE Detection and Motion Estimation with Polar Signature,
ICIP06(761-764).
IEEE DOI 0610
BibRef

Benjelloun, M., Tellez, H., Mahmoudi, S.,
Vertebra Edge Detection Using Polar Signature,
ICPR06(I: 476-479).
IEEE DOI 0609
BibRef

Wong, S.F.[Shu-Fai], Wong, K.Y.[Kwan-Yee],
Segmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancement,
ICARCV04(I: 665-670).
IEEE DOI 0412
BibRef

Howe, B., Gururajan, A., Sari-Sarraf, H., Long, L.R.,
Hierarchical segmentation of cervical and lumbar vertebrae using a customized generalized Hough transform and extensions to active appearance models,
Southwest04(182-186).
WWW Link. 0411
BibRef

Roberts, M.G., Cootes, T.F., Adams, J.E.,
Robust Active Appearance Models with Iteratively Rescaled Kernels,
BMVC07(xx-yy).
PDF File. 0709
BibRef
Earlier:
Linking Sequences of Active Appearance Sub-Models via Constraints: An Application in Automated Vertebral Morphometry,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Tezmol, A., Sari-Sarraf, H., Mitra, S., Long, R., Gururajan, A.,
Customized hough transform for robust segmentation of cervical vertebrae from X-ray images,
Southwest02(224-228).
IEEE Top Reference. 0208
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Wei, G.Q.[Guo-Qing], Qian, J.Z.[Jian-Zhong], Schramm, H.[Helmuth],
Generalized Dynamic Programming Approaches for Object Detection: Detecting Spine Boundaries and Vertebra Endplates,
CVPR01(I:954-959).
IEEE DOI 0110
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Wu, X.Q.[Xiang-Qi], Liu, J.R.[Ji-Rong], Wu, Q.Q.,
The processing and recognition of X-rays of spine tumor,
ICPR88(II: 914-916).
IEEE DOI 8811
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Scoliosis .


Last update:Nov 11, 2017 at 13:31:57