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Updated: Sep 29, 2025

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

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Published on: March 14, 2018

A computational framework for canonical holistic morphometric analysis of trabecular bone.

Sebastian Bachmann¹, Christopher J Dunmore², Matthew M Skinner^2,3

¹Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, Austria. bachmann@ilsb.tuwien.ac.at.

Scientific Reports

|March 26, 2022

Summary

This study introduces a new method for comparing bone shapes across individuals and species. This quantitative framework aids in understanding bone structure variations related to function and disease.

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Area of Science:

Biomedical Engineering
Anthropology
Forensic Science

Background:

Bone is a living tissue that adapts to mechanical loads.
Bone shape and structure contain valuable information for various scientific fields.
Comparing bone morphometrics across different groups remains a challenge.

Purpose of the Study:

To develop and evaluate a novel method for quantitative morphometric comparisons of bones.
To establish a framework for analyzing bone shape variations in different species and individuals.

Main Methods:

Combined Holistic Morphometric Analysis (HMA) with a Statistical Shape Model (SDM) for bone analysis.
Developed a canonical Holistic Morphometric Analysis (cHMA) method using volumetric meshes.
Evaluated the robustness and convergence of the SDM and cHMA.

Main Results:

The SDM demonstrated rapid convergence and minimal bias, handling significant interspecies shape variations.
The cHMA method successfully visualized and statistically analyzed morphometric differences in primate metacarpals and femora.
Prior study findings were confirmed using the new cHMA framework.

Conclusions:

cHMA offers a robust framework for quantitative bone morphometric comparisons.
This method facilitates the investigation of structure-function relationships and pathological changes in bone.
The approach is applicable across diverse fields including medicine, anthropology, and forensic science.