Knee-joint tissue recognition in magnetic resonance imaging

Artjoms Suponenkovs, Zigurds Markovics, Ardis Platkajis

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

2 Citations (Scopus)


The automatic knee-joint soft tissue recognition problem is very relevant due to increasing number of people with knee-joint diseases. It is for this reason that this paper investigates the problem of soft tissue recognition in magnetic resonance imaging (MRI). MRI is useful for knee-joint soft tissue presentation, but usually a doctor cannot see all necessary information in MRI data. Computer MRI analysis makes it possible to process all MRI data and shows additional information for the doctor. This additional information can make it easier to detect invisible injuries of knee-joint soft tissues. Knee-joint soft tissue recognition and analysis are very helpful, especially for osteoarthritis (OA) early diagnostics. Computer OA diagnostics are impossible without segmentation of knee-joint tissues. This publication describes approaches for knee-joint image pre-processing, knee-joint image segmentation, tissue recognition and tissue analysis. To solve tissue analysis task it is important to use biological information of knee-joint structure, physical and biochemical tissue features. Tissue analysis is very useful especially for early diagnostics. It allows starting treatment earlier and therefore reducing the risk of tissue destruction. It is for this reason that this paper investigates the above-mentioned challenges.

Original languageEnglish
Title of host publicationIEEE 30th Jubilee Neumann Colloquium, NC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538646366
Publication statusPublished - 17 Jan 2018
Event30th IEEE Jubilee Neumann Colloquium - Budapest, Hungary
Duration: 24 Nov 201725 Nov 2017
Conference number: 30

Publication series

NameIEEE 30th Jubilee Neumann Colloquium, NC 2017


Conference30th IEEE Jubilee Neumann Colloquium
Abbreviated titleNC 2017


  • co-occurrence matrix
  • computer vision
  • image pre-processing
  • image segmentation
  • knee-joint
  • magnetic resonance imaging
  • medical imaging
  • osteoarthritis
  • tissue recognition

Field of Science*

  • 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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