home abstracts Application of Magnetic Resonance Imaging and Computer Vision Technologies for Analysis of Knee Articular Cartilage Degeneration.

Application of Magnetic Resonance Imaging and Computer Vision Technologies for Analysis of Knee Articular Cartilage Degeneration.

Artjoms Suponenkovs 1, Ardis Platkajis 2, Zigurds Markovics 1

1Faculty of computer science and information technology, Riga Technical University, Riga, Latvia

2Medical Academy of Latvia, Riga, Latvia

Abstract

Introduction: There is a growth in the number of people with osteoarthritis. Consequently, the analysis of knee articular cartilage degeneration by magnetic resonance imaging data is very important. The magnetic resonance imaging data of a knee contains a lot of information. Unfortunately, a radiology technologist who uses simple (grayscale) images can analyze only a small part of knee data. The aim of the proposed methods is to provide more information about knee articular cartilage.

Materials and Methods: This paper proposes methods for visualization of knee cartilage, segmentation of knee tissues and analysis of cartilage changes.

Results: The experimental part contains the results and descriptions of visualization, segmentation and analysis methods.

Conclusions: The proposed methods and data obtained from cartilage experiments can be useful for diagnosing osteoarthritis, which will allow starting treatment earlier and therefore reducing the risk of cartilage destruction.

 

Keyword: medical imaging; knee-joint; computer vision; osteoarthritis; image pre-processing; magnetic resonance imaging; image segmentation; tissue analysis; DICOM.