eprintid: 1607
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/16/07
datestamp: 2023-11-09 15:49:46
lastmod: 2023-11-09 15:49:46
status_changed: 2023-11-09 15:40:58
type: conference_item
metadata_visibility: show
creators_name: Kumar, D.
creators_name: Hani, A.F.M.
creators_name: Malik, A.S.
creators_name: Kamil, R.
creators_name: Razak, R.
creators_name: Kiflie, A.
title: Development of a non-invasive diagnostic tool for early detection of knee osteoarhritis
ispublished: pub
keywords: Articular cartilages; Cartilage repair; Cartilage thickness; Diagnostic tools; Early detection; Feature selection and classification; Grading system; High sensitivity; Human knee; Imaging modality; Knee osteoarthritis; Mechanical feature; Molecular changes; Non-invasive; Non-invasive diagnostics; PG content; qMR; Quantitative magnetic resonances; Quantitative values; thickness, Diagnostic products; Hydrogen; Magnetic resonance; Research; Sodium; Sustainable development; Water, Cartilage
note: cited By 3; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
abstract: In this paper the morphological, molecular (biochemical) and mechanical features of osteoarthritis and various modalities that can be used to detect knee osteoarthritis (OA) at an early stage are discussed. Based on the facts and other supporting evidences, it is hypothesised that early knee OA detection can be improved by combining the assessment of cartilage thickness and water content of articular cartilage. The main objective of this research work is to develop a non-invasive analysis and diagnostic tool with high sensitivity and specificity using quantitative magnetic resonance (qMR) imaging that can be used to detect knee osteoarthritis below stage 1 with reference to the International Cartilage Repair Society (ICRS) grading system. Research has shown that there is a relationship between water content of cartilage with quantitative value of magnetic resonance (qMR) signals due to the presence of hydrogen in human knee cartilage. It is clear that the current methods (imaging modality, feature selection and classification) of detecting any single molecular changes in the articular cartilage on their own are not able to provide sufficient distinguishing capability of early OA. This research project points toward a multi-feature detection and classification for a successful diagnostic tool. © 2011 IEEE.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857090705&doi=10.1109%2fNatPC.2011.6136338&partnerID=40&md5=0a1a5f528d3b6ff8eca50be9f2e3011c
id_number: 10.1109/NatPC.2011.6136338
full_text_status: none
publication: 2011 National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011
place_of_pub: Perak
refereed: TRUE
isbn: 9781457718847
citation:   Kumar, D. and Hani, A.F.M. and Malik, A.S. and Kamil, R. and Razak, R. and Kiflie, A.  (2011) Development of a non-invasive diagnostic tool for early detection of knee osteoarhritis.  In: UNSPECIFIED.