21.7.4.2 Medical Applications, Femur Analysis, Bone

Chapter Contents (Back)
Femur. Skeletal.

Bartolini, F.[Franco], Carfagni, M.[Monica], Governi, L.[Lapo],
Model-based extraction of femoral medulla ducts from radiographic images,
IVC(22), No. 3, 1 March 2004, pp. 173-182.
Elsevier DOI 0402
BibRef

Bartolini, F., Governi, L., Carlagni, M., Crispini, F.,
Extracting femoral medulla ducts from radiographic images based on a model of the projection of femur section,
ICIP02(II: 965-968).
IEEE DOI 0210
BibRef

Wirth, W., Eckstein, F.,
A Technique for Regional Analysis of Femorotibial Cartilage Thickness Based on Quantitative Magnetic Resonance Imaging,
MedImg(27), No. 6, June 2008, pp. 737-744.
IEEE DOI 0711
BibRef

Zheng, G.Y.[Guo-Yan], Zhang, X., Haschtmann, D., Gedet, P., Dong, X., Nolte, L.P.[Lutz-Peter],
A Robust and Accurate Two-Stage Approach for Automatic Recovery of Distal Locking Holes in Computer-Assisted Intramedullary Nailing of Femoral Shaft Fractures,
MedImg(27), No. 2, February 2008, pp. 171-187.
IEEE DOI 0802
BibRef

Zheng, G.Y.[Guo-Yan],
Expectation Conditional Maximization-Based Deformable Shape Registration,
CAIP13(548-555).
Springer DOI 1308
BibRef

Zheng, G.Y.[Guo-Yan],
Statistical Deformable Model-Based Reconstruction of a Patient-Specific Surface Model from Single Standard X-ray Radiograph,
CAIP09(672-679).
Springer DOI 0909
BibRef
Earlier:
A Novel 3D/2D Correspondence Building Method for Anatomy-Based Registration,
WBIR06(75-83).
Springer DOI 0607
BibRef
And:
Reconstruction of Patient-Specific 3D Bone Model from Biplanar X-Ray Images and Point Distribution Models,
ICIP06(1197-1200).
IEEE DOI 0610
BibRef

Zheng, G.Y.[Guo-Yan], Nolte, L.P.[Lutz-Peter],
Surface Reconstruction of Bone from X-ray Images and Point Distribution Model Incorporating a Novel Method for 2D-3D Correspondence,
CVPR06(II: 2237-2244).
IEEE DOI 0606
BibRef

Zheng, G.Y.[Guo-Yan], Rajamani, K.T.[Kumar T.], Nolte, L.P.[Lutz-Peter],
Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study,
ACCV06(II:52-60).
Springer DOI 0601
BibRef

Chen, C.[Cheng], Zheng, G.Y.[Guo-Yan],
Fully automatic segmentation of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical sparse shape composition,
CVIU(126), No. 1, 2014, pp. 1-10.
Elsevier DOI 1407
BibRef
Earlier:
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition,
CAIP13(335-343).
Springer DOI 1308
BibRef
Earlier:
Robust Proximal Femur Segmentation in Conventional X-Ray Images via Random Forest Regression on Multi-resolution Gradient Features,
ICIAR13(442-450).
Springer DOI 1307
X-ray radiograph BibRef

Zheng, G.Y.[Guo-Yan], Dong, X.[Xiao],
Particle Filter Based Automatic Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated X-Ray Images for Surgical Navigation,
ACIVS07(616-627).
Springer DOI 0708
BibRef
Earlier: A2, A1:
A Computational Framework for Automatic Determination of Morphological Parameters of Proximal Femur from Intraoperative Fluoroscopic Images,
ICPR06(I: 1008-1013).
IEEE DOI 0609
BibRef
And: A2, A1:
Fully Automatic Determination of Morphological Parameters of Proximal Femur from Calibrated Fluoroscopic Images Through Particle Filtering,
ICIAR06(II: 535-546).
Springer DOI 0610
BibRef

Dong, X.[Xiao], Gonzalez Ballester, M.A.[Miguel A.], Zheng, G.Y.[Guo-Yan],
Automatic Extraction of Femur Contours from Calibrated Fluoroscopic Images,
WACV07(55-55).
IEEE DOI 0702
BibRef

Whitmarsh, T., Humbert, L., de Craene, M., del rio Barquero, L.M., Frangi, A.F.,
Reconstructing the 3D Shape and Bone Mineral Density Distribution of the Proximal Femur From Dual-Energy X-Ray Absorptiometry,
MedImg(30), No. 12, December 2011, pp. 2101-2114.
IEEE DOI 1112
BibRef

O'Neill, G.T.[Gabriel Telles], Lee, W.S.[Won-Sook], Beaulé, P.[Paul],
Segmentation of cam-type femurs from CT scans,
VC(27), No. 2, February 2011, pp. 205-218.
WWW Link. 1203
BibRef

Tummala, S., Nielsen, M., Lillholm, M., Christiansen, C., Dam, E.B.,
Automatic Quantification of Tibio-Femoral Contact Area and Congruity,
MedImg(31), No. 7, July 2012, pp. 1404-1412.
IEEE DOI 1208
BibRef

Baka, N., de Bruijne, M., van Walsum, T., Kaptein, B.L., Giphart, J.E., Schaap, M., Niessen, W.J., Lelieveldt, B.P.F.,
Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy,
MedImg(31), No. 8, August 2012, pp. 1573-1583.
IEEE DOI 1208
BibRef

Cheng, Y.Z.[Yuan-Zhi], Zhou, S.J.[Sheng-Jun], Wang, Y.D.[Ya-Dong], Guo, C.Y.[Chang-Yong], Bai, J.[Jing], Tamura, S.[Shinichi],
Automatic segmentation technique for acetabulum and femoral head in CT images,
PR(46), No. 11, November 2013, pp. 2969-2984.
Elsevier DOI 1306
Hip joint; Osteoarthritis; Mathematical morphology; Vertex normal; Threshold selection BibRef

Lindner, C., Thiagarajah, S., Wilkinson, J.M., Wallis, G.A., Cootes, T.F., The arcOGEN Consortium.
Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting,
MedImg(32), No. 8, 2013, pp. 1462-1472.
IEEE DOI 1308
Detectors BibRef

Liu, B.[Bin], Jia, X.Y.[Xian-Yong], Huang, Z.H.[Zhi-Huan], Li, H.J.[Hao-Jie],
An improved system for 3D individualized modeling of the artificial femoral head,
VC(29), No. 12, December 2013, pp. 1259-1267.
WWW Link. 1312
BibRef

Akkoul, S.[Sonia], Hafiane, A.[Adel], Rozenbaum, O.[Olivier], Lespessailles, E.[Eric], Jennane, R.[Rachid],
3D Reconstruction of the proximal femur shape from few pairs of x-ray radiographs,
SP:IC(59), No. 1, 2017, pp. 65-72.
Elsevier DOI 1711
3D, shape, reconstruction BibRef

Akkoul, S.[Sonia], Hafiane, A.[Adel], Leconge, R., Harrar, K., Lespessailles, E.[Eric], Jennane, R.[Rachid],
3D reconstruction method of the proximal femur and shape correction,
IPTA14(1-6)
IEEE DOI 1503
diagnostic radiography BibRef

Guan, B.[Bin], Yao, J.[Jinkun], Zhang, G.S.[Guo-Shan], Wang, X.B.[Xin-Bo],
Thigh fracture detection using deep learning method based on new dilated convolutional feature pyramid network,
PRL(125), 2019, pp. 521-526.
Elsevier DOI 1909
Thigh fracture detection, Feature pyramid network (FPN), Convolutional neural networks (CNN), Computer aided detection (CAD) BibRef

Chen, L.[Lei], Cui, Y.T.[Yu-Tao], Song, H.[Hong], Huang, B.X.[Bing-Xuan], Yang, J.[Jian], Zhao, D.[Di], Xia, B.[Bei],
Femoral head segmentation based on improved fully convolutional neural network for ultrasound images,
SIViP(14), No. 5, July 2020, pp. 1043-1051.
Springer DOI 2006
BibRef

Guan, B.[Bin], Yao, J.[Jinkun], Wang, S.Q.[Shao-Quan], Zhang, G.[Guoshan], Zhang, Y.M.[Yue-Ming], Wang, X.B.[Xin-Bo], Wang, M.X.[Meng-Xuan],
Automatic detection and localization of thighbone fractures in X-ray based on improved deep learning method,
CVIU(216), 2022, pp. 103345.
Elsevier DOI 2202
Thighbone fracture detection, Deep learning, Deep convolutional neural networks, Computer-aided diagnosis, X-ray BibRef


Herrero-Huerta, M., Meline, V., Iyer-Pascuzzi, A.S., Souza, A.M., Tuinstra, M.R., Yang, Y.,
Root Phenotyping From X-ray Computed Tomography: Skeleton Extraction,
ISPRS21(B4-2021: 417-422).
DOI Link 2201
BibRef

Xie, D.S.[Dong-Sheng], Xue, W.Y.[Wang-Yu], He, J.[Jiabin], Luo, Y.Y.[Yang-Yu], Wang, X.Y.[Xin-Yuan], Yan, Z.Q.[Zuo-Qin],
A Small-Scaled Intraoperative 3D Visualization Navigation System for Femoral Head Repair Surgery,
ICIVC21(328-335)
IEEE DOI 2112
Head, Navigation, Surgery, Mixed reality, Medical services, Maintenance engineering, pose estimation BibRef

Kim, K.J.[Ki-Jung], Lee, S.K.[Seung-Kyu], Kim, Y.H.[Yoon Hyuk],
Dense femur reconstruction from two x-ray images using generic 3D model with twist correction,
ICIP15(3645-3649)
IEEE DOI 1512
3D reconstruction; femur; generic 3d model; medical; twist; x-ray BibRef

Alathari, T.S.[Thamer S.], Nixon, M.S.[Mark S.], Bah, M.T.[Mamadou T.],
Femur Bone Segmentation Using a Pressure Analogy,
ICPR14(972-977)
IEEE DOI 1412
Bones BibRef

Boussaid, H.[Haithem], Kadoury, S.[Samuel], Kokkinos, I.[Iasonas], Lazennec, J.Y.[Jean-Yves], Zheng, G.[Guoyan], Paragios, N.[Nikos],
3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Akkoul, S.[Sonia], Hafiane, A.[Adel],
3D Femur Reconstruction Using X-Ray Stereo Pairs,
CIAP13(II:91-100).
Springer DOI 1309
BibRef

Horácek, J.[Jan], Maršálek, L.[Lukáš], Horák, M.[Martin], Slusallek, P.[Philipp], Pelikán, J.[Josef],
Segmentation of Femoral Head from CT after Femoral Neck Fracture,
MVA09(243-).
PDF File. 0905
BibRef

Gamage, P., Xie, S.Q., Delmas, P., Xu, P.,
Pose estimation of femur fracture segments for image guided orthopedic surgery,
IVCNZ09(288-292).
IEEE DOI 0911
BibRef

Gamage, P., Xie, S.Q., Delmas, P., Xu, P.,
3D Reconstruction of Patient Specific Bone Models from 2D Radiographs for Image Guided Orthopedic Surgery,
DICTA09(212-216).
IEEE DOI 0912
BibRef

Gamage, P., Xie, S.Q., Delmas, P., Xu, P., Mukherjee, S.,
Patient-Specific Customization of a Generic Femur Model Using Orthogonal 2D Radiographs,
DICTA08(449-456).
IEEE DOI 0812
BibRef

Strozzi, A.G.[Alfonso Gastelum], Delmas, P., Lefrancq, M., Duwig, C., Marquez, J., Prado, B., Gimel'farb, G.L., Charrier, P.,
Visualising 3D porous media fluid interaction using X-ray CT data and Smooth Particles Hydrodynamics modelling,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Strozzi, A.G.[Alfonso Gastelum], Marquez, J.[Jorge], Trujillo, F.[Flavio], Duwig, C.[Celine], Prado, B.[Blanca], Gamage, P.[Pavan], Delmas, P.[Patrice],
3D Porous Media Liquid-Solid Interaction Simulation Using SPH Modeling and Tomographic Images,
MVA09(328-).
PDF File. 0905
BibRef

Ding, F.[Feng], Leow, W.K.[Wee Kheng], Howe, T.S.[Tet Sen],
Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis X-Ray Images,
CAIP07(205-212).
Springer DOI 0708
BibRef

Chen, Y.[Ying], Ee, X.[Xianhe], Leow, W.K.[Wee Kheng], Howe, T.S.[Tet Sen],
Automatic Extraction of Femur Contours from Hip X-Ray Images,
CVBIA05(200-209).
Springer DOI 0601
BibRef

Tian, T.P.[Tai Peng], Chen, Y.[Ying], Leow, W.K.[Wee Kheng], Hsu, W.[Wynne], Howe, T.S.[Tet Sen], Png, M.A.[Meng Ai],
Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection,
CAIP03(82-89).
Springer DOI 0311
BibRef

Vicent Safont, L., Martinez Marroquin, E.,
3D reconstruction of third proximal femur (31-) with active contours,
CIAP99(458-463).
IEEE DOI 9909
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Vertebra, Spine, Skeletons, Bone .


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