This dissertation describes a novel three-dimensional (3D) morphometric analysis framework for building statistical shape models and identifying shape differences between populations. This research generalizes the use of anatomical atlases on more complex anatomy as in case of irregular, flat bones, and bones with deformity and irregular bone growth. The foundations for this framework are: 1) Anatomical atlases which allow the creation of homologues anatomical models across populations; 2) Statistical representation for output models in a compact form to capture both local and global shape variation across populations; 3) Shape Analysis using automated 3D landmarking and surface matching. The proposed framework has various applications in c...
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes eno...
Dans cette thèse, nous nous intéressons aux problématiques liées à la classification des formes 3D d...
We present a computational framework for image-based analysis and interpretation of statistical diff...
Morphological variation of skeletal elements, and the potential use of such variation in distinguish...
dissertationStatistical shape analysis has emerged as an important tool for the quantitative analysi...
The development of techniques for the acquisition of high-resolution 3D images, such as computed tom...
This Dissertation is brought to you for free and open access by the Graduate School at Trace: Tennes...
The development of techniques for the acquisition of high-resolution 3D images, such as computed tom...
Geometric morphometry has seen minimal application in studies of biological variability among subpop...
The nascent but growing field of geometric morphometrics has proved to be a useful tool in the inves...
Background: Comparisons in morphological shape/form across population groups could provide populati...
Bone is a remarkable, living tissue that functionally adapts to external loading. Therefore, bone sh...
Bone is a remarkable, living tissue that functionally adapts to external loading. Therefore, bone sh...
Best of GradCon Award Winner: Oral Presentations - STEM Geometric morphometrics is the analysis of s...
International audienceWe propose a generic method for the statistical analysis of collections of ana...
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes eno...
Dans cette thèse, nous nous intéressons aux problématiques liées à la classification des formes 3D d...
We present a computational framework for image-based analysis and interpretation of statistical diff...
Morphological variation of skeletal elements, and the potential use of such variation in distinguish...
dissertationStatistical shape analysis has emerged as an important tool for the quantitative analysi...
The development of techniques for the acquisition of high-resolution 3D images, such as computed tom...
This Dissertation is brought to you for free and open access by the Graduate School at Trace: Tennes...
The development of techniques for the acquisition of high-resolution 3D images, such as computed tom...
Geometric morphometry has seen minimal application in studies of biological variability among subpop...
The nascent but growing field of geometric morphometrics has proved to be a useful tool in the inves...
Background: Comparisons in morphological shape/form across population groups could provide populati...
Bone is a remarkable, living tissue that functionally adapts to external loading. Therefore, bone sh...
Bone is a remarkable, living tissue that functionally adapts to external loading. Therefore, bone sh...
Best of GradCon Award Winner: Oral Presentations - STEM Geometric morphometrics is the analysis of s...
International audienceWe propose a generic method for the statistical analysis of collections of ana...
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes eno...
Dans cette thèse, nous nous intéressons aux problématiques liées à la classification des formes 3D d...
We present a computational framework for image-based analysis and interpretation of statistical diff...