publication . Other literature type . Article . 2013

Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data

Xavier Pennec; Guido Gerig;
Open Access
  • Published: 01 May 2013
  • Publisher: Springer Science and Business Media LLC
  • Country: France
Abstract
International audience; This paper proposes an original approach for the statistical analysis of longitudinal shape data. The proposed method allows the characterization of typical growth patterns and subject-specific shape changes in repeated timeseries observations of several subjects. This can be seen as the extension of usual longitudinal statistics of scalar measurements to high-dimensional shape or image data. The method is based on the estimation of continuous subject-specific growth trajectories and the comparison of such temporal shape changes across subjects. Differences between growth trajectories are decomposed into morphological deformations, which ...
Subjects
free text keywords: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Article, Software, Artificial Intelligence, Computer Vision and Pattern Recognition
Related Organizations
36 references, page 1 of 3

Aljabar P, Bhatia K, Murgasova M, Hajnal J, Boardman J, Srinivasan L, Rutherford M, Dyet L, Edwards A, Rueckert D (2008) Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39(1):348 - 358

Allassonnière S, Kuhn E (2009) Stochastic algorithm for bayesian mixture effect template estimation. ESAIM Probability and Statistics In Press [OpenAIRE]

Chandrashekara R, Rao A, Sanchez-Ortiz G, Mohiaddin RH, Rueckert D (2003) Construction of a statistical model for cardiac motion analysis using nonrigid image registration. In: Information Processing in Medical Imaging, Springer, Lecture Notes in Computer Science, vol 2732, pp 599-610

Courchesne E, Campbell K, Solso S (2011) Brain growth across the life span in autism: Age-specific changes in anatomical pathology. Brain Research 1380:138 - 145, the Emerging Neuroscience of Autism Spectrum Disorders [OpenAIRE]

de Craene M, Camara O, Bijnens BH, Frangi AF (2009) Large diffeomorphic FFD registration for motion and strain quantification from 3D-US sequences. In: Proc. of Functional Imaging and Modeling of the Heart, Spinger, LNCS, vol 5528, pp 437-446 [OpenAIRE]

Davis B, Fletcher P, Bullitt E, Joshi S (2007) Population shape regression from random design data. In: Proc. of International Conference on Computer Vision (ICCV), pp 1-7

Declerck J, Feldman J, Ayache N (1998) Definition of a 4D continuous planispheric transformation for the tracking and the analysis of LV motion. Medical Image Analysis 4(1):1-17 [OpenAIRE]

Dupuis P, Grenander U, Miller M (1998) Variational problems on flows of diffeomorphisms for image matching. Quaterly of Applied Mathematics 56(3):587-600 [OpenAIRE]

Durrleman S (2010) Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution. Thèse de sciences (phd thesis), Université de Nice-Sophia Antipolis [OpenAIRE]

Durrleman S, Pennec X, Trouvé A, Ayache N (2009a) Statistical models of sets of curves and surfaces based on currents. Medical Image Analysis 13(5):793-808 [OpenAIRE]

Durrleman S, Pennec X, Trouvé A, Gerig G, Ayache N (2009b) Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets. In: Medical Image Computing and ComputerAssisted Intervention - MICCAI, Springer, LNCS, vol 5761, pp 297-304 [OpenAIRE]

Durrleman S, Fillard P, Pennec X, Trouvé A, Ayache N (2011) Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. NeuroImage 55(3):1073-1090 [OpenAIRE]

Ehrhardt J, Werner R, Schmidt-Richberg A, Schulz B, Handels H (2008) Generation of a mean motion model of the lung using 4D-CT image data. In: Proc. of Eurographics Workshop on Visual Computing for Biomedicine, Eurographics Association, pp 69-76

Fishbaugh J, Durrleman S, Gerig G (2011) Estimation of smooth growth trajectories with controlled acceleration from time series shape data. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI, Springer, LNCS, to appear [OpenAIRE]

Gerber S, Tasdizen T, Fletcher TP, Whitaker R (2010) Manifold modeling for brain population analysis. Medical Image Analysis 14(5):643- 653, special Issue on the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2009

36 references, page 1 of 3
Abstract
International audience; This paper proposes an original approach for the statistical analysis of longitudinal shape data. The proposed method allows the characterization of typical growth patterns and subject-specific shape changes in repeated timeseries observations of several subjects. This can be seen as the extension of usual longitudinal statistics of scalar measurements to high-dimensional shape or image data. The method is based on the estimation of continuous subject-specific growth trajectories and the comparison of such temporal shape changes across subjects. Differences between growth trajectories are decomposed into morphological deformations, which ...
Subjects
free text keywords: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Article, Software, Artificial Intelligence, Computer Vision and Pattern Recognition
Related Organizations
36 references, page 1 of 3

Aljabar P, Bhatia K, Murgasova M, Hajnal J, Boardman J, Srinivasan L, Rutherford M, Dyet L, Edwards A, Rueckert D (2008) Assessment of brain growth in early childhood using deformation-based morphometry. NeuroImage 39(1):348 - 358

Allassonnière S, Kuhn E (2009) Stochastic algorithm for bayesian mixture effect template estimation. ESAIM Probability and Statistics In Press [OpenAIRE]

Chandrashekara R, Rao A, Sanchez-Ortiz G, Mohiaddin RH, Rueckert D (2003) Construction of a statistical model for cardiac motion analysis using nonrigid image registration. In: Information Processing in Medical Imaging, Springer, Lecture Notes in Computer Science, vol 2732, pp 599-610

Courchesne E, Campbell K, Solso S (2011) Brain growth across the life span in autism: Age-specific changes in anatomical pathology. Brain Research 1380:138 - 145, the Emerging Neuroscience of Autism Spectrum Disorders [OpenAIRE]

de Craene M, Camara O, Bijnens BH, Frangi AF (2009) Large diffeomorphic FFD registration for motion and strain quantification from 3D-US sequences. In: Proc. of Functional Imaging and Modeling of the Heart, Spinger, LNCS, vol 5528, pp 437-446 [OpenAIRE]

Davis B, Fletcher P, Bullitt E, Joshi S (2007) Population shape regression from random design data. In: Proc. of International Conference on Computer Vision (ICCV), pp 1-7

Declerck J, Feldman J, Ayache N (1998) Definition of a 4D continuous planispheric transformation for the tracking and the analysis of LV motion. Medical Image Analysis 4(1):1-17 [OpenAIRE]

Dupuis P, Grenander U, Miller M (1998) Variational problems on flows of diffeomorphisms for image matching. Quaterly of Applied Mathematics 56(3):587-600 [OpenAIRE]

Durrleman S (2010) Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution. Thèse de sciences (phd thesis), Université de Nice-Sophia Antipolis [OpenAIRE]

Durrleman S, Pennec X, Trouvé A, Ayache N (2009a) Statistical models of sets of curves and surfaces based on currents. Medical Image Analysis 13(5):793-808 [OpenAIRE]

Durrleman S, Pennec X, Trouvé A, Gerig G, Ayache N (2009b) Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets. In: Medical Image Computing and ComputerAssisted Intervention - MICCAI, Springer, LNCS, vol 5761, pp 297-304 [OpenAIRE]

Durrleman S, Fillard P, Pennec X, Trouvé A, Ayache N (2011) Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. NeuroImage 55(3):1073-1090 [OpenAIRE]

Ehrhardt J, Werner R, Schmidt-Richberg A, Schulz B, Handels H (2008) Generation of a mean motion model of the lung using 4D-CT image data. In: Proc. of Eurographics Workshop on Visual Computing for Biomedicine, Eurographics Association, pp 69-76

Fishbaugh J, Durrleman S, Gerig G (2011) Estimation of smooth growth trajectories with controlled acceleration from time series shape data. In: Medical Image Computing and Computer-Assisted Intervention - MICCAI, Springer, LNCS, to appear [OpenAIRE]

Gerber S, Tasdizen T, Fletcher TP, Whitaker R (2010) Manifold modeling for brain population analysis. Medical Image Analysis 14(5):643- 653, special Issue on the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2009

36 references, page 1 of 3
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