ALIGNMENT

Combining deep learning with statistical shape modelling enables automated lower limb measurements with observer-level reliability using weight-bearing computed tomography

Purpose Accurate anatomical landmarking is crucial for assessing lower limb alignment, diagnosing deformities, planning surgeries and monitoring treatment outcomes. Traditional methods rely on manual measurements from 2D standing radiographs, which …

Wear patterns in knee OA correlate with native limb geometry

Background: To date, the amount of cartilage loss is graded by means of discrete scoring systems on artificially divided regions of interest (ROI). However, optimal statistical comparison between and within populations requires anatomically …