Ankle osteoarthritis: Toward new understanding and opportunities for prevention and intervention

DD Anderson, WR Ledoux, AL Lenz… - Journal of …, 2024 - Wiley Online Library
The ankle infrequently develops primary osteoarthritis (OA), especially when compared to
the hip and the knee. Ankle OA instead generally develops only after trauma. The …

[PDF][PDF] Biomechanical insights afforded by shape modeling in the foot and ankle

AL Lenz, RJ Lisonbee - Foot and ankle clinics, 2023 - Elsevier
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 …

DeepSSM: a deep learning framework for statistical shape modeling from raw images

R Bhalodia, SY Elhabian, L Kavan… - Shape in Medical Imaging …, 2018 - Springer
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 …

Shapeworks: particle-based shape correspondence and visualization software

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 …

From images to probabilistic anatomical shapes: A deep variational bottleneck approach

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 …

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

A Goparaju, K Iyer, A Bône, N Hu, HB Henninger… - Medical image …, 2022 - Elsevier
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 …

Which two-dimensional radiographic measurements of cam femoroacetabular impingement best describe the three-dimensional shape of the proximal femur?

PR Atkins, YJ Shin, P Agrawal… - Clinical Orthopaedics …, 2019 - journals.lww.com
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 …

Statistical shape modeling of femur shape variability in female patients with hip dysplasia

BMM Gaffney, TJ Hillen, JJ Nepple… - Journal of …, 2019 - Wiley Online Library
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 …

Can point cloud networks learn statistical shape models of anatomies?

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 …

Do your routine radiographs to diagnose cam femoroacetabular impingement visualize the region of the femoral head-neck junction you intended?

K Uemura, PR Atkins, AE Anderson, SK Aoki - Arthroscopy: The Journal of …, 2019 - Elsevier
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 …