Title :
Parametric maps of the knee cartilage
Author :
Mars, Mokhtar ; Tbini, Zeineb ; Bouaziz, M. ; Ladeb, M.F.
Author_Institution :
Biophys. & Med. Technol. Lab., Tunis El Manar Univ., Tunis, Tunisia
Abstract :
Because cartilage does not regenerate and cartilage loss is irreversible, it is important to detect cartilage damage in early stage, so that preventive treatment can be used to stop the progression. The parametric magnetic resonance imaging techniques including T1, T2 and T2* maps provide information about the damages to the extracellular matrix of articular cartilage and the increase of water content in degenerated cartilage, So they can be used as a biomarker of cartilage degeneration. The objectives of this study were to develop an algorithms which can calculate T1, T2 and T2* parametric maps in different regions of the knee cartilage and to compare those values between Healthy and Osteoarthritis (OA) Patients.
Keywords :
biochemistry; biological tissues; biomedical MRI; diseases; feature extraction; image reconstruction; medical image processing; spin-lattice relaxation; spin-spin relaxation; water; H2O; T1 parametric map calculation algorithm; T2 parametric map calculation algorithm; T2* parametric map calculation algorithm; articular cartilage; cartilage damage progression; cartilage degeneration biomarker; degenerated cartilage; early stage cartilage damage detection; extracellular matrix damage; healthy patient parametric map value; irreversible cartilage loss; knee cartilage parametric map; knee cartilage region; osteoarthritis patient parametric map value; parametric magnetic resonance imaging technique; preventive treatment; water content; Equations; Fitting; Image color analysis; Magnetic resonance imaging; Magnetization; Mathematical model; Osteoarthritis; MRI; T1; T2; cartilage; knee; osteoarthritis; parametric imaging;
Conference_Titel :
Image Processing, Applications and Systems Conference (IPAS), 2014 First International
Print_ISBN :
978-1-4799-7068-1
DOI :
10.1109/IPAS.2014.7043282