Results 41 to 50 of about 573,105 (295)
Purpose: Statistical shape methods have proven to be useful tools in providing statistical predications of several clinical and biomechanical features as to analyze and describe the possible link with them.
Joris De Roeck +7 more
doaj +1 more source
Statistical Modeling of Craniofacial Shape and Texture [PDF]
Abstract We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset of 3D images, the Headspace dataset, thus generating the first public shape-and-texture 3D morphable model (3DMM) of the full human head. Our approach is the first to employ a template that adapts to the dataset subject before dense morphing ...
Dai, Hang +3 more
openaire +3 more sources
A statistical shape model to predict the premorbid glenoid cavity [PDF]
Background: This study proposes a method for inferring the premorbid glenoid shape and orientation of scapulae affected by glenohumeral osteoarthritis (OA) to inform restorative surgery.Methods: A statistical shape model (SSM) built from 64 healthy ...
Terrier, Alexandre +11 more
core +1 more source
Performing an accurate segmentation of the hippocampus from brain magnetic resonance images is a crucial task in neuroimaging research, since its structural integrity is strongly related to several neurodegenerative disorders, including Alzheimer’s ...
Irene Brusini +6 more
doaj +1 more source
Statistical Multi-Object Shape Models [PDF]
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach, it is described by a probabilistic model on the deformations that transform a common template into various instances.
Conglin Lu +3 more
openaire +1 more source
Impact of data synthesis strategies for the classification of craniosynostosis
IntroductionPhotogrammetric surface scans provide a radiation-free option to assess and classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient restrictions, clinical data are rare.
Matthias Schaufelberger +10 more
doaj +1 more source
Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM)
Inspecting a 3D object which shape has elastic manufacturing tolerances in order to find defects is a challenging and time-consuming task. This task usually involves humans, either in the specification stage followed by some automatic measurements, or in
Javier Pérez +3 more
doaj +1 more source
RAPID AND AUTOMATED BODY MEASUREMENT OF CATTLE BASED ON STATISTICAL SHAPE MODEL [PDF]
The current methods of non-contact livestock body measurement directly deal with the low-quality point cloud data of livestock, which have low robustness and lack practicality.
Y. Bao +8 more
doaj +1 more source
International audienceEndovascular interventions are experiencing an important development. Despite many advantages of this type of intervention, catheter navigation is still a cause of difficulties or failure.
Blanc, R. +11 more
core +1 more source
Multi-Stage Liver Segmentation in CT Scans Using Gaussian Pseudo Variance Level Set
No single technology can be rich enough to segment accurately due to the challenges of liver segmentation, which include low contrast with neighboring organs and the presence of pathology as well as highly varied shapes between subjects.
Lifang Zhou +5 more
doaj +1 more source

