20.7.3.2 Medical Applications, Knee Joints

Chapter Contents (Back)
Knee Joints. Skeletal.

Ausherman, D.A., Dwyer, III, S.J., Lodwick, G.S.,
Extraction of Connected Edges from Knee Radiographs,
TC(21), No. 7, July 1972, pp. 753-758. BibRef 7207

Stindel, E., Udupa, J.K., Hirsch, B.E., Odhner, D.,
A characterization of the geometric architecture of the peritalar joint complex via MRI, an aid to classification of foot type,
MedImg(18), No. 9, September 1999, pp. 753-763.
IEEE Top Reference. 0110
BibRef

Mahfouz, M.R., Hoff, W.A., Komistek, R.D., Dennis, D.A.,
A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images,
MedImg(22), No. 12, December 2003, pp. 1561-1574.
IEEE Abstract. 0401
BibRef

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.
WWW Version. 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 Abstract. 0210
BibRef

Yamazaki, T., Watanabe, T., Nakajima, Y., Sugamoto, K., Tomita, T., Yoshikawa, H., Tamura, S.,
Improvement of depth position in 2-D/3-D registration of knee implants using single-plane fluoroscopy,
MedImg(23), No. 5, May 2004, pp. 602-612.
IEEE Abstract. 0406
BibRef

Folkesson, J.[Jenny], Dam, E.B.[Erik B.], Olsen, O.F.[Ole Fogh], Pettersen, P.[Paola], Christiansen, C.[Claus],
Segmenting Articular Cartilage Automatically Using a Voxel Classification Approach,
MedImg(26), No. 1, January 2007, pp. 106-115.
IEEE DOI Link 0701
BibRef
Earlier: A1, A3, A4, A2, A5:
Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI,
CVBIA05(230-239).
Springer DOI Link 0601
BibRef

Fripp, J.[Jurgen], Crozier, S.[Stuart], Warfield, S.K.[Simon K.], Ourselin, S.[Sebastien],
Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee,
MedImg(29), No. 1, January 2010, pp. 55-64.
IEEE DOI Link 1001
BibRef
Earlier: A1, A3, A2, A4:
Automatic Segmentation of the Knee Bones using 3D Active Shape Models,
ICPR06(I: 167-170).
IEEE DOI Link 0609
BibRef

Fripp, J.[Jurgen], Bourgeat, P.[Pierrick], Mewes, A.J.U.[Andrea J.U.], Warfield, S.K.[Simon K.], Crozier, S.[Stuart], Ourselin, S.[Sébastien],
3D Statistical Shape Models to Embed Spatial Relationship Information,
CVBIA05(51-60).
Springer DOI Link 0601
Shape model of knee to embed info in MRI data. BibRef

Williams, T.G., Holmes, A.P., Waterton, J.C., Maciewicz, R.A., Hutchinson, C.E., Moots, R.J., Nash, A.F.P., Taylor, C.J.,
Anatomically Corresponded Regional Analysis of Cartilage in Asymptomatic and Osteoarthritic Knees by Statistical Shape Modelling of the Bone,
MedImg(29), No. 8, August 2010, pp. 1541-1559.
IEEE DOI Link 1008
BibRef

Yin, Y.[Yin], Zhang, X.M.[Xiang-Min], Williams, R., Wu, X.D.[Xiao-Dong], Anderson, D.D., Sonka, M.,
LOGISMOS: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint,
MedImg(29), No. 12, December 2010, pp. 2023-2037.
IEEE DOI Link 1101
BibRef

Chen, B.[Bailiang], Lambrou, T.[Tryphon], Offiah, A.[Amaka], Fry, M.[Martin], Todd-Pokropek, A.[Andrew],
Combined MR imaging towards subject-specific knee contact analysis,
VC(27), No. 2, February 2011, pp. 121-128.
WWW Version. 1103
BibRef

Hockett, F.D., Wallace, K.D., Schmieder, A.H., Caruthers, S.D., Pham, C.T.N., Wickline, S.A., Lanza, G.M.,
Simultaneous Dual Frequency ^1-H and ^19-F Open Coil Imaging of Arthritic Rabbit Knee at 3T,
MedImg(30), No. 1, January 2011, pp. 22-27.
IEEE DOI Link 1101
MRI Imaging. BibRef

Lee, S.[Soochahn], Park, S.H.[Sang Hyun], Shim, H.J.[Hack-Joon], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk],
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images,
CVIU(115), No. 12, December 2011, pp. 1710-1720.
Elsevier DOI Link
WWW Version. 1111
Segmentation; Medical image analysis; MRF optimization; Local shape and appearance; Knee cartilage; Localized probabilities; Shape and appearance priors BibRef

Zhan, Y., Dewan, M., Harder, M., Krishnan, A., Zhou, X.S.,
Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection,
MedImg(30), No. 12, December 2011, pp. 2087-2100.
IEEE DOI Link 1112
BibRef


Masum, M.A., Lambert, A.J., Pickering, M.R., Scarvell, J.M., Smith, P.N.,
Precision Assessment of B-Mode Ultrasound for Non-Invasive Motion Analysis of Knee Joints,
DICTA11(279-284).
IEEE DOI Link 1205
BibRef

Shan, L.[Liang], Charles, C.[Cecil], Niethammer, M.[Marc],
Automatic atlas-based three-label cartilage segmentation from MR knee images,
MMBIA12(241-246).
IEEE DOI Link 1203
BibRef

Zhang, K.[Kunlei], Deng, J.[Jun], Lu, W.[Wenmiao],
Segmenting human knee cartilage automatically from multi-contrast MR images using support vector machines and discriminative random fields,
ICIP11(721-724).
IEEE DOI Link 1201
BibRef
Earlier: A1, A3, Only:
Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields,
MLMI11(335-343).
Springer DOI Link 1109
BibRef

Ramli, I.S.[Intan Syaherra], Arshad, H.[Haslina], Sulong, A.B.[Abu Bakar], Yahaya, N.H.M.[Nor Hamdan Mohammed], Haron, C.H.C.[Che Hassan Che],
Visualization of the Newly Designed Jig and Fixture for Computer-Assisted Knee Replacement Surgery,
IVIC09(223-231).
Springer DOI Link 0911
BibRef

Yusof, S.F.[Siti Fairuz], Sulaiman, R.[Riza], Seng, L.T.[Lee Thian], Kassim, A.Y.M.[Abdul Yazid Mohammed], Abdullah, S.[Suhail], Yusof, S.[Shahril], Omar, M.[Masbah], Hamid, H.A.[Hamzaini Abdul],
Development of Total Knee Replacement Digital Templating Software,
IVIC09(180-190).
Springer DOI Link 0911
BibRef

Park, S.H.[Sang Hyun], Lee, S.[Soochahn], Shim, H.[Hackjoon], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk], Lee, K.H.[Kyoung Ho], Kang, H.S.[Heung Sik], Han, J.K.[Joon Koo],
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI),
ICIP09(3381-3384).
IEEE DOI Link 0911
BibRef

Seisler, A.R., Sheehan, F.T.,
A Visualization Tool to convey Quantitative in vivo, 3D Knee Joint Kinematics,
AIPR06(18-18).
IEEE DOI Link 0610
BibRef

Impoco, G.[Gaetano],
Level Set Segmentation of Knee Bones Using Normal Profile Models,
MIRAGE09(195-206).
Springer DOI Link 0905
BibRef

Hermans, J., Bellemans, J., Maes, F., Vandermeulen, D., Suetens, P.,
A statistical framework for the registration of 3D knee implant components to single-plane X-ray images,
MMBIA08(1-8).
IEEE DOI Link 0806
BibRef

Hermans, J., Bellemans, J., Vandermeulen, D., Suetens, P.,
A Statistical Approach to Determine Symmetrical Solutions for the Registration of 3D Knee Implant Models to Sagittal Fluoroscopy Images,
MMBIA07(1-8).
IEEE DOI Link 0710
BibRef

Tsechpenakis, G.[Gabriel], Wang, J.H.[Jian-Hua],
CRF-Based Segmentation of Human Tear Meniscus Obtained with Optical Coherence Tomography,
ICIP07(V: 509-512).
IEEE DOI Link 0709
BibRef

Ardizzone, E.[Edoardo], Pirrone, R.[Roberto], Gambino, O.[Orazio],
Frequency Determined Homomorphic Unsharp Masking Algorithm on Knee MR Images,
CIAP05(922-929).
Springer DOI Link 0509
BibRef

Hoff, W.A., Komistek, R.D., Dennis, D.A., Walker, S., Northcut, E., and Spargo, K.,
Pose Estimation of Artificial Knee Implants in Fluoroscopy Images Using a Template Matching Technique,
WACV96(181-186).
IEEE Abstract. 9609
BibRef

Dessenne, V., Lavallee, S., Julliard, R., Cinquin, P., Orti, R.,
Computer Assisted Knee Anterior Cruciate Ligament Reconstruction: First Clinical Tests,
CVRMed95(XX-YY) BibRef 9500

Zhi, H.,
Recognition system for automatic diagnosis of knee ligaments,
ICPR90(I: 597-602).
IEEE DOI Link 9006
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tomographic Images, CAT Scans (Computed Axial Tomography) .


Last update:May 16, 2012 at 20:31:07