Computer Analysis of Knee by Magnetic Resonance Imaging Data

Artjoms Suponenkovs, Zigurds Markovics, Ardis Platkajis

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

The examination of knee cartilage degradation by magnetic resonance imaging (MRI) data is essential due to the reduction in physical activity of the population and a rising number of patients with osteoarthritis(OA). The main aim of this publication is to show a new approach for analyzing knee tissue by MRI data. The present paper investigates the problems of relaxation times calculation, medical image segmentation and statistical texture features calculation. Proposed paper describes an approach for medical image segmentation, relaxation times calculation and statistical texture features calculation. An important aspect of analysis of articular cartilage relaxation times changing is illustrated in the experimental part. The experimental part of the publication also describes the dependence between organic structure and relaxation times. The proposed approach the obtained results can be useful for early OA diagnostics.

Original languageEnglish
Pages (from-to)354-361
Number of pages8
JournalProcedia Computer Science
Volume104
DOIs
Publication statusPublished - 1 Dec 2016
EventICTE 2016 - Riga, Latvia
Duration: 1 Dec 2016 → …

Keywords

  • Cartilage
  • Early diagnosis of osteoarthritis
  • Image segmentation
  • Knee joint
  • Magnetic resonance imaging
  • Medical imaging
  • Relaxation time

Field of Science

  • 1.2 Computer and information sciences
  • 3.2 Clinical medicine

Publication Type

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

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