11.8.9 Deformable Models, Medical Applications

Chapter Contents (Back)
Deformable Solids. Medical Applications. Application, Medical.

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IEEE Top Reference. 0203
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Earlier: SCV95(212-217).
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Radeva, P.I., Amini, A.A., Huang, J.T., Marti, E.,
Deformable B-Solids and Implicit Snakes for Localization and Tracking of MRI-SPAMM Data,
MMBIA96(DEFORMABLE MODELS I) BibRef 9600

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Ahmed, M.N., Farag, A.A.,
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Davis, M.H., Khotanzad, A., Flamig, D.P., and Harms, S.E.,
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IEEE Top Reference. 0205
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Earlier:
Coordinate Transformation in 3D Image Matching by a Physics Based Method: Elastic Body Splines,
SCV95(218-222).
IEEE DOI BibRef
And:
Curvature measurement of 3D objects: evaluation and comparison of three methods,
ICIP95(II: 627-630).
IEEE DOI 9510
Southern Methodist University. Baylor Univ. Medical Canter. BibRef

Tolias, Y.A., Panas, S.M.,
A Fuzzy Vessel Tracking Algorithm for Retinal Images Based on Fuzzy Clustering,
MedImg(17), No. 2, April 1998, pp. 263-273.
IEEE Top Reference. 9808
See also Image Segmentation by a Fuzzy Clustering-Algorithm Using Adaptive Spatially Constrained Membership Functions. BibRef

Tolias, Y.A., and Panas, S.M.,
On Applying Spatial Constraints in Fuzzy Image Clustering Using a Fuzzy Rule-Based System,
SPLetters(5), No. 10, October 1998, pp. 245-247.
IEEE Top Reference. BibRef 9810

Khaneja, N., Miller, M.I., Grenander, U.,
Dynamic Programming Generation of Curves on Brain Surfaces,
PAMI(20), No. 11, November 1998, pp. 1260-1265.
IEEE DOI 9811
Generate minimum curves on brain surfaces. BibRef

Liu, H.F.[Hua-Feng], Shi, P.C.[Peng-Cheng],
Meshfree particle method,
ICCV03(289-296).
IEEE DOI 0311
Representations based on computations on the nodes, not the mesh. BibRef

Dehmeshki, J.[Jamshid],
An adaptive segmentation and 3-D visualisation of the lungs,
PRL(20), No. 8, August 1999, pp. 919-926. BibRef 9908

Guimond, A.[Alexandre], Meunier, J.[Jean], Thirion, J.P.[Jean-Philippe],
Average Brain Models: A Convergence Study,
CVIU(77), No. 2, February 2000, pp. 192-210.
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BibRef

Staib, L.H.[Lawrence H.], and Duncan, J.S.[James S.],
Model-Based Deformable Surface Finding for Medical Images,
MedImg(15), No. 5, October 1996, pp. 720-731.
IEEE Top Reference. Global shape parameter. Smoothly deformable 3-d objects. MRI data. BibRef 9610

Shih, W.S.V.[Wen-Shiang Vincent], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Volumetric morphologic deformation method for intersubject image registration,
IJIST(11), No. 2, 2000, pp. 117-124. 0008
See also Morphologic Field Morphing: Contour Model-Guided Image Interpolation. BibRef

Shih, W.S.V.[Wen-Shiang Vincent], Lin, W.C.[Wei-Chung], Rhee, S.Y.[Sang-Yong], Chen, C.T.[Chin-Tu],
Morphologic Field Warping: A Volumetric Deformation Method for Medical Image Registration,
ICPR98(Vol II: 1680-1682).
IEEE DOI 9808
BibRef

Rifai, H., Bloch, I., Hutchinson, S.A., Wiart, J., and Garnero, L.,
Segmentation of the Skull Using Deformable Model and Taking Partial Volume Effect into Account,
MIA(4), No. 3, September 2000, pp. 219-233. BibRef 0009

Rifai, H., Bloch, I., Hutchinson, S.A., Wiart, J., and Garnero, L.,
Segmentation par modele deformable des regions osseuses de la tete dans les volume IRM,
Traitement du Signal(16), No. 4, 1999, pp. 319-330. BibRef 9900

Hsu, L.Y., Loew, M.H.,
Fully automatic 3D feature-based registration of multi-modality medical images,
IVC(19), No. 1-2, January 2001, pp. 75-85.
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McInerney, T., Terzopoulos, D.,
Deformable Models in Medical Image Analysis: A Survey,
MIA(1), No. 2, 1996, pp. 91-108. Survey, Deformable Models. BibRef 9600

McInerney, T., Terzopoulos, D.,
Topology adaptive deformable surfaces for medical image volume segmentation,
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IEEE Top Reference. 0110
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Aliroteh, M.[Meisam], McInerney, T.[Tim],
SketchSurfaces: Sketch-Line Initialized Deformable Surfaces for Efficient and Controllable Interactive 3D Medical Image Segmentation,
ISVC07(I: 542-553).
Springer DOI 0711
BibRef

Pizer, S.M., Fritsch, D.S., Yushkevich, P.A., Johnson, V.E., Chaney, E.L.,
Segmentation, registration, and measurement of shape variation via image object shape,
MedImg(18), No. 10, October 1999, pp. 851-865.
IEEE Top Reference. 0110
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Rohr, K., Stiehl, H.S., Sprengel, R., Buzug, T.M., Weese, J., Kuhn, M.H.,
Landmark-based elastic registration using approximating thin-plate splines,
MedImg(20), No. 6, June 2001, pp. 526-534.
IEEE Top Reference. 0110
BibRef

Davatzikos, C., Shen, D.G.[Ding-Gang], Mohamed, A., Kyriacou, S.K.,
A framework for predictive modeling of anatomical deformations,
MedImg(20), No. 8, August 2001, pp. 836-843.
IEEE Top Reference. 0110
BibRef

Meier, D., Fisher, E.,
Parameter Space Warping: Shape-Based Correspondence between Morphologically Different Objects,
MedImg(21), No. 1, January 2002, pp. 31-47.
IEEE Top Reference. 0202
BibRef

Lukins, T.C., Fisher, R.B.,
Qualitative Characterization of Deforming Surfaces,
3DPVT06(287-293).
IEEE DOI 0606
BibRef

Carr, J.C., Fright, W.R., Beatson, R.K.,
Surface interpolation with radial basis functions for medical imaging,
MedImg(16), No. 1, February 1997, pp. 96-107.
IEEE Top Reference. 0205
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Joshi, S.C., Pizer, S.M., Fletcher, P.T., Yushkevich, P.A., Thall, A., Marron, J.S.,
Multiscale deformable model segmentation and statistical shape analysis using medial descriptions,
MedImg(21), No. 5, May 2002, pp. 538-550.
IEEE Top Reference. 0206
BibRef

Lu, C.L.[Cong-Lin], Pizer, S.M.[Stephen M.], Joshi, S.C.[Sarang C.],
A Markov Random Field Approach to Multi-scale Shape Analysis,
ScaleSpace03(416-431).
Springer DOI 0310
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Dosil, R.[Raquel], Pardo, X.M.[Xose M.],
Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging,
IVC(21), No. 4, April 2003, pp. 325-343.
WWW Link. 0301
BibRef

Dosil, R.[Raquel], Pardo, X.M.[Xosé M.], Fdez-Vidal, X.R.[Xosé R.],
Data-driven synthesis of composite-feature detectors for 3D image analysis,
IVC(24), No. 3, 1 March 2006, pp. 225-238.
WWW Link. 0604
3D image representation; Composite features; Multiresolution analysis; Mutual information; Hierarchical clustering BibRef

Zhu, Y.N.[Yan-Ning], Hall, T.J., Jiang, J.F.[Jing-Feng],
A Finite-Element Approach for Young's Modulus Reconstruction,
MedImg(22), No. 7, July 2003, pp. 890-901.
IEEE Abstract. 0308
For soft tissue reconstruction. BibRef

Rohde, G.K., Aldroubi, A., Dawant, B.M.,
The adaptive bases algorithm for intensity-based nonrigid image registration,
MedImg(22), No. 11, November 2003, pp. 1470-1479.
IEEE Abstract. 0311
BibRef

Thodberg, H.H., Rosholm, A.,
Application of the Active Shape Model in a commercial medical device for bone densitometry,
IVC(21), No. 12-13, December 2003, pp. 1155-1161.
WWW Link. 0401
BibRef
Earlier: BMVC01(Session 1: Modelling Shape).
HTML Version. Pronosco 0110
BibRef

Chui, H.[Haili], Rangarajan, A., Zhang, J.[Jie], Leonard, C.M.,
Unsupervised learning of an atlas from unlabeled point-sets,
PAMI(26), No. 2, February 2004, pp. 160-172.
IEEE Abstract. 0402
Learning deformable shapes. BibRef

Chui, H., Rangarajan, A.,
Learning an Atlas from Unlabeled Point-Sets,
MMBIA01(xx-yy). 0110
BibRef

Wang, Y.M.M.[Yong-Mei Michelle], Zhang, J.D.[Jing-Dan], Zhang, Z.P.[Zhun-Ping], Guo, B.N.[Bai-Ning],
Directional Coherence Interpolation For Three-dimensional Gray-level Images,
IJIG(4), No. 4, October 2004, pp. 535-561. 0410
BibRef
Earlier: A1, A3, A4, Only:
3D Image Interpolation Based on Directional Coherence,
MMBIA01(xx-yy). 0110
BibRef

Alberola-Lopez, C., Martin-Fernandez, M., Ruiz-Alzola, J.,
Comments on: A methodology for evaluation of boundary detection algorithms on medical images,
MedImg(23), No. 5, May 2004, pp. 658-660.
IEEE Abstract. 0406
Evaluation, Deformable Models. Claim that the methodology of: See also methodology for evaluation of boundary detection algorithms on medical images, A. was not correct. Propose a new test for evaluation of the boundary. BibRef

Klein, S.[Stefan], Staring, M.[Marius], Pluim, J.P.W.[Josien P. W.],
Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines,
IP(16), No. 12, December 2007, pp. 2879-2890.
IEEE DOI 0711
BibRef
Earlier:
A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration,
WBIR06(151-159).
Springer DOI 0607
See also Adaptive Stochastic Gradient Descent Optimisation for Image Registration. BibRef

Sjostrand, K., Rostrup, E., Ryberg, C., Larsen, R., Studholme, C., Baezner, H., Ferro, J., Fazekas, F., Pantoni, L., Inzitari, D., Waldemar, G.,
Sparse Decomposition and Modeling of Anatomical Shape Variation,
MedImg(26), No. 12, December 2007, pp. 1625-1635.
IEEE DOI 0712
BibRef

Holden, M.,
A Review of Geometric Transformations for Nonrigid Body Registration,
MedImg(27), No. 1, January 2008, pp. 111-128.
IEEE DOI 0712
Survey, Deformable Registration. BibRef

Huang, X.L.[Xiao-Lei], Metaxas, D.N.[Dimitris N.],
Metamorphs: Deformable Shape and Appearance Models,
PAMI(30), No. 8, August 2008, pp. 1444-1459.
IEEE DOI 0806
See also Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations. BibRef

Huang, X.L.[Xiao-Lei], Metaxas, D.N.[Dimitris N.], Chen, T.[Ting],
Metamorphs: deformable shape and texture models,
CVPR04(I: 496-500).
IEEE DOI 0408
BibRef

Chen, T.[Ting], Metaxas, D.N.[Dimitris N.],
Integration of Gibbs prior models and deformable models for 3D medical image segmentation,
ICPR02(I: 719-722).
IEEE DOI 0211
BibRef

Mamic, G., Bennamoun, M.[Mohammed],
Automated Spline Surface Modeling and Matching for Recognition of Free-form Objects,
IJIG(4), No. 1, January 2004, pp. 51-84. 0401
BibRef

Fookes, C., Williams, J., Bennamoun, M.,
Global 3D Rigid Registration of Medical Images,
ICIP00(Vol II: 447-450).
IEEE DOI 0008
BibRef

Noblet, V.[Vincent], Heinrich, C.[Christian], Heitz, F.[Fabrice], Armspach, J.P.[Jean-Paul],
Accurate Inversion of 3-D Transformation Fields,
IP(17), No. 10, October 2008, pp. 1963-1968.
IEEE DOI 0809
See also 3-D Deformable Image Registration: A Topology Preservation Scheme Based on Hierarchical Deformation Models and Interval Analysis Optimization. BibRef

Musse, O., Heitz, F., Armspach, J.P.,
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions,
CVPR99(II: 478-484).
IEEE DOI Registering MR data to reference. BibRef 9900

Feng, J.[Jun], Ip, H.H.S.[Horace H.S.],
A multi-resolution statistical deformable model (MISTO) for soft-tissue organ reconstruction,
PR(42), No. 7, July 2009, pp. 1543-1558.
Elsevier DOI 0903
BibRef
Earlier:
MISTO: A Multi-Resolution Deformable Model for Segmentation of Soft-Tissue Organs,
ICIP06(1909-1912).
IEEE DOI 0610
Statistical deformable models; Active shape model; Three-dimensional reconstruction BibRef

He, Q.Z.[Qi-Zhen], Ip, H.H.S.[Horace H.S.], Feng, J.[Jun], Cao, X.B.[Xian-Bin],
Mr-SDM: a novel statistical deformable model for object deformation,
VC(25), No. 5-7, May 2009, pp. xx-yy.
Springer DOI 0905
BibRef

Du, P.[Peng], Ip, H.H.S.[Horace H. S.], Hua, B.[Bei], Feng, J.[Jun],
Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model,
VC(28), No. 5, May 2012, pp. 493-509.
WWW Link. 1204
BibRef

Rami-Shojaei, S.[Sabrina], Vachier, C.[Corinne], Schmitt, C.[Christophe],
Automatic analysis of 2D foam sequences: Application to the characterization of aqueous proteins foams stability,
IVC(27), No. 6, 4 May 2009, pp. 609-622.
Elsevier DOI 0904
Foams stability; Macroscopic imaging; Mathematical morphology; Granulometric analysis; Tracking BibRef

Mountney, P.[Peter], Stoyanov, D.[Danail], Yang, G.Z.[Guang-Zhong],
Three-Dimensional Tissue Deformation Recovery and Tracking,
SPMag(27), No. 4, 2010, pp. 14-24.
IEEE DOI 1007
BibRef

Davis, B.C.[Brad C.], Fletcher, P.T.[P. Thomas], Bullitt, E.[Elizabeth], Joshi, S.[Sarang],
Population Shape Regression from Random Design Data,
IJCV(90), No. 2, November 2010, pp. 255-266.
WWW Link. 1011
BibRef
Earlier: ICCV07(1-7).
IEEE DOI 0710
Marr Prize. Analyze shape changes through ageing. BibRef

Shen, T.[Tian], Li, H.S.[Hong-Sheng], Huang, X.L.[Xiao-Lei],
Active Volume Models for Medical Image Segmentation,
MedImg(30), No. 3, March 2011, pp. 774-791.
IEEE DOI 1103
BibRef

Li, H.S.[Hong-Sheng], Shen, T.[Tian], Huang, X.L.[Xiao-Lei],
Approximately Global Optimization for Robust Alignment of Generalized Shapes,
PAMI(33), No. 6, June 2011, pp. 1116-1131.
IEEE DOI 1105
BibRef
Earlier:
Global optimization for alignment of generalized shapes,
CVPR09(856-863).
IEEE DOI 0906
Shape alignment. Asymmetric representation of source and target shapes. BibRef

Shen, T.[Tian], Li, H.S.[Hong-Sheng], Qian, Z.[Zhen], Huang, X.L.[Xiao-Lei],
Active volume models for 3D medical image segmentation,
CVPR09(707-714).
IEEE DOI 0906
BibRef

Martinez, A.[Antonio], Jimenez, J.J.[Juan Jose],
Tracking by means of geodesic region models applied to multidimensional and complex medical images,
CVIU(115), No. 8, August 2011, pp. 1083-1098.
Elsevier DOI 1101
Tracking organs; Geodesic models; Medical images; Multiple region organs; 3D and 4D images BibRef

Bromiley, P.A., Thacker, N.A.,
Multi-dimensional Medical Image Segmentation with Partial Volume and Gradient Modelling,
BMVA(2008), No. 2, 2008, pp. 1-22.
PDF File. 1209
BibRef

Kainmueller, D.[Dagmar], Lamecker, H.[Hans], Zachow, S.[Stefan],
Multi-object Segmentation with Coupled Deformable Models,
BMVA(2009), No. 5, 2009, pp. 1-10.
PDF File. 1209
BibRef

Lee, H.P., Foskey, M., Niethammer, M., Krajcevski, P., Lin, M.C.,
Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis,
MedImg(31), No. 11, November 2012, pp. 2156-2168.
IEEE DOI 1211
BibRef

Bogovic, J.A.[John A.], Prince, J.L.[Jerry L.], Bazin, P.L.[Pierre-Louis],
A multiple object geometric deformable model for image segmentation,
CVIU(117), No. 2, February 2013, pp. 145-157.
Elsevier DOI 1301
BibRef
Earlier: A1, A3, A2:
Topology-preserving STAPLE,
MMBIA10(1-6).
IEEE DOI 1006
Multiple object segmentation; Geometric deformable model; Level sets; Topology preservation. Fuse multiple segmentations for improved result in anatomical studies. BibRef

Fan, X.[Xian], Bazin, P.L.[Pierre-Louis], Bogovic, J.[John], Bai, Y.[Ying], Prince, J.L.[Jerry L.],
A multiple geometric deformable model framework for homeomorphic 3D medical image segmentation,
MMBIA08(1-7).
IEEE DOI 0806
BibRef

Fan, X.[Xian], Bazin, P.L.[Pierre-Louis], Prince, J.L.[Jerry L.],
A multi-compartment segmentation framework with homeomorphic level sets,
CVPR08(1-6).
IEEE DOI 0806
BibRef

Guo, Y.R.[Yan-Rong], Wu, G.R.[Guo-Rong], Jiang, J.G.[Jian-Guo], Shen, D.G.[Ding-Gang],
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching,
MedImg(32), No. 2, February 2013, pp. 268-277.
IEEE DOI 1301
BibRef

Guo, Y.R.[Yan-Rong], Wu, G.R.[Guo-Rong], Dai, Y.[Yakang], Jiang, J.G.[Jian-Guo], Shen, D.G.[Ding-Gang],
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint,
MCVM12(20-28).
Springer DOI 1305
BibRef

Varnavas, A., Carrell, T., Penney, G.,
Increasing the Automation of a 2D-3D Registration System,
MedImg(32), No. 2, February 2013, pp. 387-399.
IEEE DOI 1301
BibRef

Bradshaw, A.P.[Andrew P.], Taubman, D.S.[David S.], Todd, M.J.[Michael J.], Magnussen, J.S., Halmagyi, G.M.,
Augmented Active Surface Model for the Recovery of Small Structures in CT,
IP(22), No. 11, 2013, pp. 4394-4406.
IEEE DOI 1310
computerised tomography BibRef

Bradshaw, A.P.[Andrew P.], Todd, M.J.[Michael J.], Taubman, D.S.[David S.],
Active surface modeling at CT resolution limits with micro CT ground truth,
ICIP08(1081-1084).
IEEE DOI 0810
BibRef

Mesejo, P.[Pablo],
Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link. 1407
Ph.D.. Thesis. BibRef

de Senneville, B.D.[B. Denis], El Hamidi, A., Moonen, C.,
A Direct PCA-Based Approach for Real-Time Description of Physiological Organ Deformations,
MedImg(34), No. 4, April 2015, pp. 974-982.
IEEE DOI 1504
Kidney BibRef

Leonardi, V.[Valentin], Vidal, V.[Vincent], Daniel, M.[Marc], Mari, J.L.[Jean-Luc],
Multiple reconstruction and dynamic modeling of 3D digital objects using a morphing approach,
VC(31), No. 5, May 2015, pp. 557-574.
Springer DOI 1505
Kidney models. BibRef

Qin, X.J.[Xian-Jing], Lu, H.B.[Hong-Bing], Tian, Y.[Yan], Yan, P.K.[Ping-Kun],
Partial sparse shape constrained sector-driven bladder wall segmentation,
MVA(26), No. 5, July 2015, pp. 593-606.
WWW Link. 1506
BibRef

Getto, R.[Roman], Kuijper, A.[Arjan], von Landesberger, T.[Tatiana],
Extended surface distance for local evaluation of 3D medical image segmentations,
VC(31), No. 6-8, June 2015, pp. 989-999.
WWW Link. 1506
BibRef

Allassonnière, S., Durrleman, S., Kuhn, E.,
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model,
SIIMS(8), No. 3, 2015, pp. 1367-1395.
DOI Link 1511
BibRef

Yang, X.F.[Xian-Feng], Li, Y.H.[Yong-Hui], Reutens, D.[David], Jiang, T.Z.[Tian-Zi],
Diffeomorphic Metric Landmark Mapping Using Stationary Velocity Field Parameterization,
IJCV(115), No. 2, November 2015, pp. 69-86.
Springer DOI 1511
Large deformation diffeomorphic metric mapping (LDDMM). Anotomical variations. BibRef

Jin, C., Shi, F., Xiang, D., Jiang, X., Zhang, B., Wang, X., Zhu, W., Gao, E., Chen, X.,
3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest,
MedImg(35), No. 6, June 2016, pp. 1395-1407.
IEEE DOI 1606
Active appearance model BibRef


Tward, D.J.[Daniel J.], Sicat, C.S.[Chelsea S.], Brown, T.[Timothy], Bakker, A.[Arnold], Miller, M.I.[Michael I.],
Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping,
SeSAME16(51-62).
Springer DOI 1703
BibRef

Sagawa, R.[Ryusuke], Yoshiyasu, Y.[Yusuke], Alspach, A.[Alexander], Ayusawa, K.[Ko], Yamane, K.[Katsu], Hilton, A.[Adrian],
Analyzing Muscle Activity and Force with Skin Shape Captured by Non-contact Visual Sensor,
PSIVT15(488-501).
Springer DOI 1602
BibRef

Kim, S.Y.[Sun-Yeong], Tai, Y.W.[Yu-Wing],
Hierarchical nonrigid model for 3D medical image registration,
ICIP14(3562-3566)
IEEE DOI 1502
Equations BibRef

Rolfe, S.M.[Sara M.], Cox, L.L., Shapiro, L.G., Cox, T.C.,
A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation,
ICIAR14(I: 75-83).
Springer DOI 1410
deformable-registration-based BibRef

Wassermann, D.[Demian], Ross, J.[James], Washko, G.[George], Wells, W.M.[William M.], Jose-Estepar, R.S.[Raul San],
Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields,
CVPR14(2729-2735)
IEEE DOI 1409
Diffeomorphism; Medical Imaging; Registration; Tensor Field BibRef

Inagaki, S.[Shun], Itoh, H.[Hayato], Imiya, A.[Atsushi],
Variational Multiple Warping for Cardiac Image Analysis,
CAIP15(II:749-759).
Springer DOI 1511
BibRef
And:
Multiple Alignment of Spatiotemporal Deformable Objects for the Average-Organ Computation,
NORDIA14(353-366).
Springer DOI 1504
See also Dimension Reduction and Construction of Feature Space for Image Pattern Recognition. BibRef

Inagaki, S.[Shun], Imiya, A.[Atsushi],
Variational Deformation Method for the Computation of the Average Shape of Organs,
Registration14(343-350)
IEEE DOI 1409
BibRef

Bennett, S.[Stuart], Lasenby, J.[Joan],
Deformation Measurement of a Human Chest Experiencing Global Motion,
AMDO12(144-152).
Springer DOI 1208
BibRef

Flores-Mangas, F.[Fernando], Jepson, A.D.[Allan D.], Haider, M.A.[Masoom A.],
Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans,
CRV12(244-251).
IEEE DOI 1207
BibRef

Preiswerk, F.[Frank], Arnold, P.[Patrik], Fasel, B.[Beat], Cattin, P.C.[Philippe C.],
Robust tumour tracking from 2D imaging using a population-based statistical motion model,
MMBIA12(209-214).
IEEE DOI 1203
BibRef

Zhang, W.[Wuxia], Yuan, Y.[Yuan], Li, X.L.[Xue-Long], Yan, P.K.[Ping-Kun],
Learning shape statistics for hierarchical 3D medical image segmentation,
ICIP11(2189-2192).
IEEE DOI 1201
BibRef

Lu, C.[Chao], Duncan, J.S.[James S.],
A Non-rigid Registration Framework That Accommodates Pathology Detection,
MLMI11(83-90).
Springer DOI 1109
BibRef

Caban, J.J.[Jesus J.], Rheingans, P.[Penny], Yoo, T.S.[Terry S.],
An MRF-based statistical deformation model for morphological image analysis,
MMBIA10(31-38).
IEEE DOI 1006
BibRef

Rahim, M., Bellemare, M.E., Pirro, N., Bulot, R.,
A shape descriptors comparison for organs deformation sequence characterization in MRI sequences,
ICIP09(1069-1072).
IEEE DOI 0911
BibRef

Wang, D.[Dan], Tewfik, A.H.[Ahmed H.],
In vivo tracking of 3D organs using spherical harmonics and subspace clustering,
ICIP09(817-820).
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle .


Last update:Sep 18, 2017 at 11:34:11