21.7.4.3 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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

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

Ketcha, M.D., de Silva, T., Han, R., Uneri, A., Vogt, S., Kleinszig, G., Siewerdsen, J.H.,
A Statistical Model for Rigid Image Registration Performance: The Influence of Soft-Tissue Deformation as a Confounding Noise Source,
MedImg(38), No. 9, September 2019, pp. 2016-2027.
IEEE DOI 1909
Measurement, Strain, Image registration, Spatial resolution, Deformable models, Image quality, Biomedical engineering, X-ray imaging and computed tomography 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

Liao, H., Mesfin, A., Luo, J.,
Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information,
MedImg(37), No. 5, May 2018, pp. 1266-1275.
IEEE DOI 1805
Biomedical imaging, Computed tomography, Feature extraction, Pathology, Task analysis, recurrent neural network BibRef

Palkar, B.[Bhakti], Mishra, D.[Dhirendra],
Fusion of multi-modal lumbar spine images using Kekre's hybrid wavelet transform,
IET-IPR(13), No. 12, October 2019, pp. 2271-2280.
DOI Link 1911
BibRef

Aubert, B., Vazquez, C., Cresson, T., Parent, S., de Guise, J.A.,
Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting,
MedImg(38), No. 12, December 2019, pp. 2796-2806.
IEEE DOI 1912
Image reconstruction, Shape, Solid modeling, Deformable models, Hidden Markov models, patch-based methods BibRef

Chen, Y., Gao, Y., Li, K., Zhao, L., Zhao, J.,
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model,
MedImg(39), No. 2, February 2020, pp. 387-399.
IEEE DOI 2002
Automatic vertebrae identification and localization, CT image, deep learning, convolutional neural network, fully convolutional network BibRef

Sundarsingh, S.[Shirly], Kesavan, R.[Ramesh],
Diagnosis of disc bulge and disc desiccation in lumbar MRI using concatenated shape and texture features with random forest classifier,
IJIST(30), No. 2, 2020, pp. 340-347.
DOI Link 2005
disc bulge, disc desiccation, feature extraction, HOG, LS-RBRP, MRI, RF classifier BibRef

Ghoshal, S.[Somoballi], Banu, S.[Sourav], Chakrabarti, A.[Amlan], Sur-Kolay, S.[Susmita], Pandit, A.[Alok],
3D reconstruction of spine image from 2D MRI slices along one axis,
IET-IPR(14), No. 12, October 2020, pp. 2746-2755.
DOI Link 2010
BibRef

Silvoster, M.L.[M. Leena], Kumar, R.M.S.[Retnaswami Mathusoothana S.],
Efficient segmentation of lumbar intervertebral disc from MR images,
IET-IPR(14), No. 13, November 2020, pp. 3076-3083.
DOI Link 2012
BibRef

Pang, S., Pang, C., Zhao, L., Chen, Y., Su, Z., Zhou, Y., Huang, M., Yang, W., Lu, H., Feng, Q.,
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation,
MedImg(40), No. 1, January 2021, pp. 262-273.
IEEE DOI 2012
Image segmentation, Image representation, Semantics, Computed tomography, graph convolution BibRef

Mandel, W., Oulbacha, R., Roy-Beaudry, M., Parent, S., Kadoury, S.,
Image-Guided Tethering Spine Surgery With Outcome Prediction Using Spatio-Temporal Dynamic Networks,
MedImg(40), No. 2, February 2021, pp. 491-502.
IEEE DOI 2102
Surgery, Solid modeling, outcome prediction, Predictive models, Forecasting, Magnetic resonance imaging BibRef

Feng, S.X.[Shi-Xiang], Liu, B.B.[Bei-Bei], Zhang, Y.[Ya], Zhang, X.Y.[Xiao-Yun], Li, Y.H.[Yue-Hua],
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis,
MedImg(40), No. 9, September 2021, pp. 2496-2506.
IEEE DOI 2109
Task analysis, Feature extraction, Cancer, Streaming media, Weight control, Shape, Medical diagnostic imaging, two-stream BibRef

Saminathan, P.[Priya], Samuel, L.[Letitia],
Ant Cuckoo Search Optimization-based deep learning classifier for image enhancement in spinal cord images,
IJIST(31), No. 4, 2021, pp. 2267-2282.
DOI Link 2112
Ant Lion Optimization, circular-based searching method, Cuckoo Search Optimization, image enhancement, Image Enhancement Conditional Generative Adversarial Network BibRef

Nazir, A.[Anam], Cheema, M.N.[Muhammad Nadeem], Sheng, B.[Bin], Li, P.[Ping], Li, H.[Huating], Xue, G.T.[Guang-Tao], Qin, J.[Jing], Kim, J.M.[Jin-Man], Feng, D.D.[David Dagan],
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification,
IP(31), 2022, pp. 880-893.
IEEE DOI 2201
Image segmentation, Computed tomography, Image resolution, Solid modeling, Loss measurement, Bones, Vertebra segmentation, 2-dimensional U-Net BibRef

Wu, M.[Mengkun], Sun, H.[Hao], Sun, Z.[Zhenhui], Guo, X.[Xin], Duan, L.[Lunhui], Tan, Y.[Yinglun], Cui, R.[Rui],
A machine learning-based method for automatic diagnosis of ankle fracture using X-ray images,
IJIST(32), No. 3, 2022, pp. 831-842.
DOI Link 2205
ankle fracture diagnosis, extreme gradient boosting, random forest, support vector machine, SURF-BoVW BibRef

Altun, S.[Sinan], Alkan, A.[Ahmet],
LSS-net: 3-dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis,
IJIST(33), No. 1, 2023, pp. 378-388.
DOI Link 2301
3D-UNet, chronic low back pain, lumbar spinal stenosis, semantic segmentation BibRef

Yoon, H.[Heewon], Cho, Y.[Yongwon], Ahn, K.S.[Kyung-Sik], Lee, H.G.[Hee-Gone], Kang, C.H.[Chang Ho], Park, B.J.[Beom Jin],
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images,
IJIST(33), No. 2, 2023, pp. 547-555.
DOI Link 2303
back muscles, computer, lumbar vertebrae, MRI, neural networks BibRef

Kumari, K.H.V.[K. H. Vijaya], Barpanda, S.S.[Soubhagya Sankar],
Residual UNet with Dual Attention: An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation,
IJIST(33), No. 2, 2023, pp. 644-658.
DOI Link 2303
CerebroSpinalFluid, channel attention, GrayMatter, ResidalUNet, spatial attention, WhiteMatter BibRef

Blanc, C.[Colline], Shahrampour, S.[Shiva], Mohamed, F.B.[Feroze B.], de Leener, B.[Benjamin],
Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury,
IJIST(33), No. 4, 2023, pp. 1396-1405.
DOI Link 2307
automatic segmentation, convolutional neural network, pediatric, PropSeg, spinal cord, spinal cord injury BibRef

Cheng, M.[Mengdan], Qin, J.[Juan], Lv, L.[Lianrong], Wang, B.[Biao], Li, L.[Lei], Xia, D.[Dan], Wang, S.[Shike],
A dual channel and spatial attention network for automatic spine segmentation of MRI images,
IJIST(33), No. 5, 2023, pp. 1634-1646.
DOI Link 2310
deep learning, dual channel and spatial attention module, MRI image, spine segmentation BibRef

Lu, S.Y.[Shu-Yi], Liu, J.H.[Jin-Hua], Wang, X.J.[Xiao-Jie], Zhou, Y.F.[Yuan-Feng],
Collaborative Multi-Metadata Fusion to Improve the Classification of Lumbar Disc Herniation,
MedImg(42), No. 12, December 2023, pp. 3590-3601.
IEEE DOI 2312
BibRef


Zhang, F.[Fan], Zheng, L.[Linya], Chen, Y.R.[Yin-Ran], Lin, C.[Chen], Huang, L.P.[Li-Ping], Bai, Y.M.[Yu-Ming], Luo, X.B.[Xiong-Biao],
Fully Automatic Cervical Vertebrae Segmentation Via Enhanced U2-Net,
ICIP23(2900-2904)
IEEE DOI 2312
BibRef

Iyer, S.[Sankaran], Blair, A.[Alan], White, C.[Christopher], Dawes, L.[Laughlin], Moses, D.[Daniel], Sowmya, A.[Arcot],
Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting,
ICPR22(4630-4636)
IEEE DOI 2212
Image coding, Image analysis, Annotations, Spine, Supervised learning, Deep architecture, Radiology BibRef

Cheng, Y.[Yike], Jiang, J.L.[Ji-Le], Zhang, N.[Ning], Zhao, H.[Hengjun], Liu, Z.M.[Zhi-Ming],
Automatic Lumbar Vertebra Landmark Localization and Segmentation for Pedicle Screw Placement,
ICPR22(4263-4269)
IEEE DOI 2212
Computed tomography, Spine, Pipelines, Surgery, Fasteners, Bone density BibRef

Bajger, M.[Mariusz], To, M.S.[Minh-Son], Lee, G.[Gobert], Wells, A.[Adam], Chong, C.[Chee], Agzarian, M.[Marc], Poonnoose, S.[Santosh],
Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study,
DICTA21(1-8)
IEEE DOI 2201
Ionizing radiation, Computed tomography, Magnetic resonance imaging, Spine, Surgery, Medical services, CT, MR, CycleGAN BibRef

Al Suman, A.[Abdulla], Khemchandani, Y.[Yash], Asikuzzaman, M., Webb, A.L.[Alexandra Louise], Perriman, D.M.[Diana M.], Tahtali, M.[Murat], Pickering, M.R.[Mark R.],
Evaluation of U-Net CNN Approaches for Human Neck MRI Segmentation,
DICTA20(1-6)
IEEE DOI 2201
Image segmentation, Computer architecture, Muscles, Real-time systems, Neck, Task analysis, Medical diagnostic imaging, Whiplash BibRef

Wang, Z.Y.[Zi-Yang], Zhang, Z.D.[Zheng-Dong], Voiculescu, I.[Irina],
RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels,
ICIP21(21-25)
IEEE DOI 2201
Training, Deep learning, Image segmentation, Databases, Semantics, Noise reduction, Semantic Segmentation, Computed Tomography, Spine, Noisy Label BibRef

Ilyas, Z.[Zaid], Sharif, N.[Naeha], Schousboe, J.T.[John T.], Lewis, J.R.[Joshua R.], Suter, D.[David], Gilani, S.Z.[Syed Zulqarnain],
GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images,
DICTA21(01-07)
IEEE DOI 2201
Image segmentation, Image resolution, Ionizing radiation, Computed tomography, Digital images, Computational modeling, IVGs BibRef

Wang, F.[Fakai], Zheng, K.[Kang], Lu, L.[Le], Xiao, J.[Jing], Wu, M.[Min], Miao, S.[Shun],
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization,
CVPR21(5276-5284)
IEEE DOI 2111
Location awareness, Pathology, Computed tomography, Surgery, Metals, Imaging, Planning BibRef

Saenz-Gamboa, J.J.[Jhon Jairo], de la Iglesia-Vayá, M.[Maria], Gómez, J.A.[Jon A.],
Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks,
ICPR21(5214-5221)
IEEE DOI 2105
Image segmentation, Semantics, Spine, Morphology, Computer architecture, Blood vessels, Fats, image semantic segmentation BibRef

Tran, V.L.[Van Luan], Lin, H.Y.[Huei-Yung], Liu, H.W.[Hsiao-Wei], Jang, F.J.[Fang-Jie], Tseng, C.H.[Chun-Han],
BiLuNet: A Multi-path Network for Semantic Segmentation on X-ray Images,
ICPR21(10034-10041)
IEEE DOI 2105
Image segmentation, Head, Shape, Semantics, Fitting, Training data, Surgery, Semantic Segmentation, X-ray image, lumbar vertebra inspection BibRef

Tran, V.L.[Van Luan], Lin, H.Y.[Huei-Yung], Liu, H.W.[Hsiao-Wei],
Mbnet: A Multi-task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-ray Images,
ACCV20(V:635-651).
Springer DOI 2103
BibRef

Drobny, D.[David], Ranzini, M.[Marta], Isaac, A.[Amanda], Vercauteren, T.[Tom], Ourselin, S.[Sébastien], Choi, D.[David], Modat, M.[Marc],
Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-Ray Registration Framework,
WBIR20(67-77).
Springer DOI 2006
BibRef

Bennani, H., McCane, B.,
Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs,
IVCNZ19(1-6)
IEEE DOI 2004
biomechanics, bone, diagnostic radiography, image reconstruction, medical image processing, orthopaedics, dried vertebrae, spherical demons. BibRef

Ioannidis, I.[Ioannis], Nait-Charif, H.[Hammadi],
Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy,
CAIP19(II:49-61).
Springer DOI 1909
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Jakobsen, I.M.G.[Ida Marie Groth], Plocharski, M.[Maciej],
Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis,
SCIA19(209-220).
Springer DOI 1906
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Reinhold, S.[Stefan], Damm, T.[Timo], Huber, L.[Lukas], Andresen, R.[Reimer], Barkmann, R.[Reinhard], Glüer, C.C.[Claus C.], Koch, R.[Reinhard],
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT,
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Springer DOI 1905
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Theodorou, G.[George], Bassiakos, Y.[Yiannis], Tsakalos, E.[Evangelos], Yiannouli, E.[Evyenia], Maniatis, P.[Petros],
The Use of CT Scans and 3D Modeling as a Powerful Tool to Assist Fossil Vertebrate Taxonomy,
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Springer DOI 1811
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Bielecka, M.[Marzena], Bielecki, A.[Andrzej],
Localizing Characteristic Points on a Vertebra Contour by Using Shape Language,
ICCVG18(341-348).
Springer DOI 1810
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Yu, W.M.[Wei-Min], Liu, W.Y.[Wen-Yong], Tan, L.W.[Li-Wen], Zhang, S.X.[Shao-Xiang], Zheng, G.Y.[Guo-Yan],
Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut Segmentation of Lumbar Vertebrae from CT Images,
ICIAR18(90-95).
Springer DOI 1807
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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
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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
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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
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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
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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
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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
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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
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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
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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,
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Springer DOI 1009
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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
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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
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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,
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IEEE DOI 1205
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Crimi, A.[Alessandro],
Unsupervised shape clustering of vertebra shapes using simulated annealing and nonlinear dimensionality reduction,
ICCVGIP10(124-131).
DOI Link 1111
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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,
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Springer DOI 1109
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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
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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
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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
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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
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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
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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
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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
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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).
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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
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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,
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Kim, H.S., Ishida, K., Ishikawa, S., Ohtsuka, Y.,
Automatic Judgement of Spinal Deformity from Moire Images Employing Asymmetry of Local Centroids Location,
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Benjelloun, M., Rico, G., Mahmoudi, S., Prévot, R.,
Vertebral Mobility Analysis Using Anterior Faces Detection,
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Lecron, F.[Fabian], Benjelloun, M.[Mohammed], Mahmoudi, S.[Saďd],
Descriptive Image Feature for Object Detection in Medical Images,
ICIAR12(II: 331-338).
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Benjelloun, M.[Mohammed], Mahmoudi, S.[Said],
Mobility Estimation and Analysis in Medical X-ray Images Using Corners and Faces Contours Detection,
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Mahmoudi, S.[Saďd], Benjelloun, M.[Mohammed],
A New Approach for Cervical Vertebrae Segmentation,
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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,
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Dong, X.[Xiao], Zheng, G.Y.[Guo-Yan],
Automated Vertebra Identification from X-Ray Images,
ICIAR10(II: 1-9).
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Benjelloun, M., Mahmoudi, S., Tellez, H.,
Vertebrae EDGE Detection and Motion Estimation with Polar Signature,
ICIP06(761-764).
IEEE DOI 0610
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Benjelloun, M., Tellez, H., Mahmoudi, S.,
Vertebra Edge Detection Using Polar Signature,
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IEEE DOI 0609
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Wong, S.F.[Shu-Fai], Wong, K.Y.[Kwan-Yee],
Segmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancement,
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IEEE DOI 0412
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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).
IEEE DOI 0411
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Roberts, M.G., Cootes, T.F., Adams, J.E.,
Robust Active Appearance Models with Iteratively Rescaled Kernels,
BMVC07(xx-yy).
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Linking Sequences of Active Appearance Sub-Models via Constraints: An Application in Automated Vertebral Morphometry,
BMVC03(xx-yy).
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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).
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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 .


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