Respective interest of T2 mapping and diffusion tensor imaging in assessing porcine knee cartilage with MR at 3 Teslas

Autor: Jacques Felblinger, Pierre Gillet, Emilie Roeder, Astrid Pinzano, Pierre-André Vuissoz, Bailiang Chen, Marine Beaumont
Přispěvatelé: Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Rok vydání: 2013
Předmět:
Cartilage
Articular
Models
Anatomic
MESH: Echo-Planar Imaging
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Swine
T2 mapping
Osteoarthritis
MESH: Models
Anatomic
Menisci
Tibial
030218 nuclear medicine & medical imaging
MESH: Magnetic Resonance Imaging
0302 clinical medicine
MESH: Osteoarthritis
Image Processing
Computer-Assisted
MESH: Animals
Femur
MESH: Swine
ComputingMilieux_MISCELLANEOUS
medicine.diagnostic_test
Echo-Planar Imaging
MESH: Hindlimb
General Medicine
Anatomy
MESH: Image Processing
Computer-Assisted
Magnetic Resonance Imaging
Knee cartilage
Hindlimb
MESH: Joints
MESH: Femur
medicine.anatomical_structure
Diffusion Tensor Imaging
MESH: Models
Animal
030220 oncology & carcinogenesis
Models
Animal
MESH: Image Enhancement
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
MESH: Diffusion Tensor Imaging
Materials science
Biomedical Engineering
MESH: Imaging
Three-Dimensional
MESH: Menisci
Tibial
Biomaterials
03 medical and health sciences
Imaging
Three-Dimensional
Fractional anisotropy
medicine
Effective diffusion coefficient
Animals
[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Biochemistry [q-bio.BM]
Cartilage
Magnetic resonance imaging
[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Molecular biology
medicine.disease
Image Enhancement
MESH: Cartilage
Articular
MESH: Anisotropy
Anisotropy
Feasibility Studies
Joints
MESH: Feasibility Studies
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Biomedical engineering
Diffusion MRI
Zdroj: Bio-Medical Materials and Engineering
Bio-Medical Materials and Engineering, IOS Press, 2013, 23 (4), pp.263-72. ⟨10.3233/BME-130750⟩
Bio-Medical Materials and Engineering, IOS Press, 2013, 23 (4), pp.263-272. ⟨10.3233/BME-130750⟩
HAL
ISSN: 1878-3619
0959-2989
Popis: International audience; Non-invasive quantitative assessment of articular cartilage integrity is essential for early detection and evaluation of osteoarthritis (OA) and for the follow-up of stem-cell-driven cartilage engineering. In this study, we investigated the feasibility of exploiting diffusion tensor imaging (DTI) on porcine knee joints with a clinical magnetic resonance (MR) scanner to extract micro-structural information in order to complement biochemical information quantified by T2 maps. We propose an MR protocol for quantifying T2 and cartilage microstructure with diffusion MR on a clinical scanner. Preliminary results were obtained on four pig knee joints using a 3 T GE clinical MRI scanner and an 8-channel knee coil array. The measured cartilage volume, T2 values, apparent diffusion coefficient and fractional anisotropy (FA) of femoral and tibial cartilage were respectively 9.8/2.3 mm2, 67.0/56.1 ms, 1.3/1.3×10-3 mm2/s and 0.4/0.3. This new protocol has the potential to be combined in vivo with quantitative assessment of both cartilage degradation and restoration in osteoarthritis.
Databáze: OpenAIRE
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