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Multicomponent T2* mapping of knee cartilage: technical feasibility ex vivo.
Qian, Yongxian; Williams, Ashley A; Chu, Constance R; Boada, Fernando E.
Afiliación
  • Qian Y; MR Research Center, Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. qiany@upmc.edu
Magn Reson Med ; 64(5): 1426-31, 2010 Nov.
Article en En | MEDLINE | ID: mdl-20865752
ABSTRACT
Disorganization of collagen fibers is a sign of early-stage cartilage degeneration in osteoarthritic knees. Water molecules trapped within well-organized collagen fibrils would be sensitive to collagen alterations. Multicomponent effective transverse relaxation (T2*) mapping with ultrashort echo time acquisitions is here proposed to probe short T(2) relaxations in those trapped water molecules. Six human tibial plateau explants were scanned on a 3T MRI scanner using a home-developed ultrashort echo time sequence with echo times optimized via Monte Carlo simulations. Time constants and component intensities of T2* decays were calculated at individual pixels, using the nonnegative least squares algorithm. Four T2*-decay types were found 99% of cartilage pixels having mono-, bi-, or nonexponential decay, and 1% showing triexponential decay. Short T2* was mainly in 1-6 ms, while long T2* was ∼ 22 ms. A map of decay types presented spatial distribution of these T2* decays. These results showed the technical feasibility of multicomponent T2* mapping on human knee cartilage explants.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Cartílago Articular / Osteoartritis de la Rodilla Tipo de estudio: Diagnostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2010 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Cartílago Articular / Osteoartritis de la Rodilla Tipo de estudio: Diagnostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2010 Tipo del documento: Article País de afiliación: Estados Unidos