Please use this identifier to cite or link to this item:
10.1088/1742-6596/818/1/012001
Title: | Development of methods for analysis of knee articular cartilage degeneration by magnetic resonance imaging data |
Authors: | Suponenkovs, Artjoms Glazs, Aleksandrs Platkajis, Ardis Rīga Stradiņš University |
Keywords: | cartilage;early diagnosis of osteoarthritis;image segmentation;knee joint;magnetic resonance imaging;medical imaging;relaxation time;1.3 Physical sciences;3.2 Clinical medicine;3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database;General Physics and Astronomy |
Issue Date: | 23-Mar-2017 |
Citation: | Suponenkovs , A , Glazs , A & Platkajis , A 2017 , ' Development of methods for analysis of knee articular cartilage degeneration by magnetic resonance imaging data ' , Journal of Physics: Conference Series , vol. 818 , no. 1 , 012001 . https://doi.org/10.1088/1742-6596/818/1/012001 |
Abstract: | The aim of this paper is to describe the new methods for analyzing knee articular cartilage degeneration. The most important aspects regarding research about magnetic resonance imaging, knee joint anatomy, stages of knee osteoarthritis, medical image segmentation and relaxation times calculation. This paper proposes new methods for relaxation times calculation and medical image segmentation. The experimental part describes the most important aspect regarding analysing of articular cartilage relaxation times changing. This part contains experimental results, which show the codependence between relaxation times and organic structure. These experimental results and proposed methods can be helpful for early osteoarthritis diagnostics. |
Description: | Publisher Copyright: © Published under licence by IOP Publishing Ltd. |
DOI: | 10.1088/1742-6596/818/1/012001 |
ISSN: | 1742-6588 |
Appears in Collections: | Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure |
Files in This Item:
File | Size | Format | |
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Development_of_methods_for_analysis_of_knee.pdf | 1.45 MB | Adobe PDF | View/Open |
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