Reconstruction of Scapula Bone Shapes from Digitized Skin Landmarks Using Statistical Shape Modeling and Multiple Linear Regression.

ABSTRACT:

Purpose

The aim of this study was to develop an algorithm for the reconstruction of scapula bone shapes from skin landmarks, using a statistical shape model (SSM).

Methods

A sample of 56 scapula segmentations was used, as well as 4 scapular bone and skin landmarks. Regression models were built to predict the coordinates of bone landmarks from skin landmarks using subject-specific variables, namely skin landmark coordinates, sex, age, weight, and height. The scapula shapes were reconstructed by fitting the bone landmarks of the SSM's mean shape to the predicted bone landmarks of the subject.

Results

The developed regression models registered a R² ranging from 0.70 to 0.98, with a maximum median error of 4 mm. The average surface-to-surface errors were equal

SUBMITTER: Marques A 

PROVIDER: S-EPMC12391217 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature