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Article

Using multidimensional topological data analysis to identify traits of hip osteoarthritis.

Journal of magnetic resonance imaging : JMRI - 1 Oct 2018

Rossi-deVries Jasmine, Pedoia Valentina, Samaan Michael A, Ferguson Adam R, Souza Richard B, Majumdar Sharmila

Abstract excerpt

BACKGROUND: Osteoarthritis (OA) is a multifaceted disease with many variables affecting diagnosis and progression. Topological data analysis (TDA) is a state-of-the-art big data analytics tool that can combine all variables into multidimensional space. TDA is used to simultaneously analyze imaging and gait analysis techniques. PURPOSE: To identify biochemical and biomechanical biomarkers able to classify...

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Share to Biomechanical Phenomena
Share to Cartilage, Articular

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Hip Joint

Share to Image Processing, Computer-Assisted

Share to Osteoarthritis, Hip

Share to Osteoarthritis, Knee

Source

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Identifiers

PMID: 29734501
DOI: 10.1002/jmri.26029
PMCID: PMC6174097

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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