Please use this identifier to cite or link to this item: 10.1016/j.procs.2017.01.145
Title: Computer Analysis of Knee by Magnetic Resonance Imaging Data
Authors: Suponenkovs, Artjoms
Markovics, Zigurds
Platkajis, Ardis
Rīga Stradiņš University
Keywords: Cartilage;Early diagnosis of osteoarthritis;Image segmentation;Knee joint;Magnetic resonance imaging;Medical imaging;Relaxation time;1.2 Computer and information sciences;3.2 Clinical medicine;3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database;General Computer Science
Issue Date: 1-Dec-2016
Citation: Suponenkovs , A , Markovics , Z & Platkajis , A 2016 , ' Computer Analysis of Knee by Magnetic Resonance Imaging Data ' , Procedia Computer Science , vol. 104 , pp. 354-361 . https://doi.org/10.1016/j.procs.2017.01.145
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.
Description: Publisher Copyright: © 2017 The Authors.
DOI: 10.1016/j.procs.2017.01.145
ISSN: 1877-0509
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

Files in This Item:
File SizeFormat 
Computer_Analysis_of_Knee_by_Magnetic.pdf410.71 kBAdobe PDFView/Openopen_acces_unlocked


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.