Publications by authors named "T J Maal"
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
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- A knowledge gap exists regarding the integration of 3D printing and extended reality (XR) technologies into anatomy education, and this report details an elective course designed to address that gap.
- The 10-week course taught undergraduate students how to create, evaluate, and use 3D and XR models based on radiological data, with feedback gathered through a survey rating various aspects of the course experience.
- Student evaluations showed that the 3D and XR models were seen as insightful and motivating, suggesting a positive impact on engagement in anatomy education, while highlighting the need for future research on their educational effectiveness.
Introduction: Craniofacial microsomia (CFM) is classified using the subjective Orbit, Mandible, Ear, Nerve and Soft tissue (OMENS) tool. Digital stereophotogrammetry (i.e.
View Article and Find Full Text PDFObjective: To investigate the feasibility of creating an artificial intelligence (AI) algorithm to enhance prosthetic socket shapes for transtibial prostheses, aiming for a less operator-dependent, standardized approach.
Design: The study comprised 2 phases: first, developing an AI algorithm in a cross-sectional study to predict prosthetic socket shapes. Second, testing the AI-predicted digitally measured and standardized designed (DMSD) prosthetic socket against a manually measured and designed (MMD) prosthetic socket in a 2-week within-subject cross-sectional study.