Discussion With any statistical model there is bound to be a wide variety of shape variation. As scientists and engineers, we can characterize anatomical shape variations in subsets of …
Statistical shape modeling is an important tool to characterize variation in anatomical morphology. Typical shapes of interest are measured using 3D imaging and a subsequent …
J Cates, S Elhabian, R Whitaker - Statistical shape and deformation …, 2017 - Elsevier
The ShapeWorks software is an open-source implementation of a methodology for constructing compact statistical point-based models of shape called Particle-Based …
J Adams, S Elhabian - … Conference on Medical Image Computing and …, 2022 - Springer
Statistical shape modeling (SSM) directly from 3D medical images is an underutilized tool for detecting pathology, diagnosing disease, and conducting population-level morphology …
Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes …
Background Many two-dimensional (2-D) radiographic views are used to help diagnose cam femoroacetabular impingement (FAI), but there is little consensus as to which view or …
Although increasing evidence suggests that abnormal femur geometry in developmental dysplasia of the hip (DDH) may contribute to intra‐articular damage and the development of …
J Adams, SY Elhabian - … Conference on Medical Image Computing and …, 2023 - Springer
Abstract Statistical Shape Modeling (SSM) is a valuable tool for investigating and quantifying anatomical variations within populations of anatomies. However, traditional correspondence …
Purpose To use computer models and image analysis to identify the position on the head- neck junction visualized in 10 radiographic views used to quantify cam morphology …