Analysis of trabecular bone microstructure using contour tree connectivity

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Tampere University of Technology
  • BioMediTech Finland
  • Turku University Hospital

Abstract

Millions of people worldwide suffer from fragility fractures, which cause significant morbidity, financial costs and even mortality. The gold standard to quantify structural properties of trabecular bone is based on the morphometric parameters obtained from μCT images of clinical bone biopsy specimens. The currently used image processing approaches are not able to fully explain the variation in bone strength. In this study, we introduce the contour tree connectivity (CTC) as a novel morphometric parameter to study trabecular bone quality. With CTC, we calculate a new connectivity measure for trabecular bone by using contour tree representation of binary images and algebraic graph theory. To test our approach, we use trabecular bone biopsies obtained from 55 female patients. We study the correlation of CTC with biomechanical test results as well as other morphometric parameters obtained from μCT. The results based on our dataset show that CTC is the 3rd best predictive feature of ultimate bone strength after bone volume fraction and degree of anisotropy.

Details

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Publication statusPublished - 24 Oct 2013
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Medical Image Computing and Computer Assisted Intervention - Nagoya, Japan
Duration: 22 Sep 201326 Sep 2013
Conference number: 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8150 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Medical Image Computing and Computer Assisted Intervention
Abbreviated titleMICCAI
CountryJapan
CityNagoya
Period22/09/201326/09/2013

    Research areas

  • algebraic graph theory, binary morphology, connectivity, contour tree, CT imaging, microstructure, trabecular bone

ID: 29135990