Fully automatic tracking of native glenohumeral kinematics from stereo-radiography
The current work introduces a system for fully automatic tracking of native glenohumeral
kinematics in stereo-radiography sequences. The proposed method first applies …
kinematics in stereo-radiography sequences. The proposed method first applies …
Statistical shape modeling approach to predict missing scapular bone
Prediction of complete and premorbid scapular anatomy is an important aspect of successful
shoulder arthroplasty surgeries to treat glenohumeral arthritis and which remains elusive in …
shoulder arthroplasty surgeries to treat glenohumeral arthritis and which remains elusive in …
Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks
Background and objective Segmentation is a crucial step in multiple biomechanics and
orthopedics applications. The time-intensiveness and expertise requirements of medical …
orthopedics applications. The time-intensiveness and expertise requirements of medical …
Tibial-fibular geometry and density variations associated with elevated bone strain and sex disparities in young active adults
Tibial stress fracture is a common injury in runners and military personnel. Elevated bone
strain is believed to be associated with the development of stress fractures and is influenced …
strain is believed to be associated with the development of stress fractures and is influenced …
Automatic tracking of healthy joint kinematics from stereo-radiography sequences
Kinematic tracking of healthy joints in radiography sequences is frequently performed by
maximizing similarities between computed perspective projections of 3D computer models …
maximizing similarities between computed perspective projections of 3D computer models …
Glenohumeral joint reconstruction using statistical shape modeling
Y Huang, DL Robinson, J Pitocchi, PVS Lee… - … and Modeling in …, 2022 - Springer
Abstract Evaluation of the bony anatomy of the glenohumeral joint is frequently required for
surgical planning and subject-specific computational modeling and simulation. The three …
surgical planning and subject-specific computational modeling and simulation. The three …
Principal polynomial shape analysis: A non-linear tool for statistical shape modeling
K Duquesne, N Nauwelaers, P Claes… - Computer Methods and …, 2022 - Elsevier
Background and objectives The most widespread statistical modeling technique is based on
Principal Component Analysis (PCA). Although this approach has several appealing …
Principal Component Analysis (PCA). Although this approach has several appealing …
Anatomically parameterized statistical shape model: explaining morphometry through statistical learning
Objective: Statistical shape models (SSMs) are a popular tool to conduct morphological
analysis of anatomical structures which is a crucial step in clinical practices. However, shape …
analysis of anatomical structures which is a crucial step in clinical practices. However, shape …
Investigating the effects of demographics on shoulder morphology and density using statistical shape and density modeling
P Soltanmohammadi, J Elwell… - Journal of …, 2020 - asmedigitalcollection.asme.org
A better understanding of how the shape and density of the shoulder vary among members
of a population can help design more effective population-based orthopedic implants. The …
of a population can help design more effective population-based orthopedic implants. The …
Statistical shape and bone property models of clinical populations as the foundation for biomechanical surgical planning: application to shoulder arthroplasty
A Sharif-Ahmadian, A Beagley, C Pearce, D Saliken… - 2023 - dspace.library.uvic.ca
This work developed, validated, and compared statistical shape, statistical intensity, and
statistical shape and intensity models (SSMs, SIMs, SSIMs) of scapulae from a clinical …
statistical shape and intensity models (SSMs, SIMs, SSIMs) of scapulae from a clinical …