Analysis of trabecular bone microstructure using contour tree connectivity

Dogu Baran Aydogan, Niko Moritz, Hannu T. Aro, Jari Hyttinen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
OtsikkoMedical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Sivut428-435
Sivumäärä8
PainosPART 2
DOI - pysyväislinkit
TilaJulkaistu - 24 lokakuuta 2013
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Medical Image Computing and Computer Assisted Intervention - Nagoya, Japani
Kesto: 22 syyskuuta 201326 syyskuuta 2013
Konferenssinumero: 16

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumeroPART 2
Vuosikerta8150 LNCS
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceInternational Conference on Medical Image Computing and Computer Assisted Intervention
LyhennettäMICCAI
MaaJapani
KaupunkiNagoya
Ajanjakso22/09/201326/09/2013

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  • Siteeraa tätä

    Aydogan, D. B., Moritz, N., Aro, H. T., & Hyttinen, J. (2013). Analysis of trabecular bone microstructure using contour tree connectivity. teoksessa Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings (PART 2 toim., Sivut 428-435). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 8150 LNCS, Nro PART 2). https://doi.org/10.1007/978-3-642-40763-5_53