Improved accuracy and precision in 3D T2 mapping of knee cartilage with dictionary fitting and patch-based denoising
Simon Kuhn1, Aurélien Bustin1,2,3, Aicha Lamri-Senouci1, Simone Rumac1, Jean-Baptiste Ledoux1,4, Roberto Colotti5, Jessica A. M. Bastiaansen1,6,7, Jérôme Yerly1,4, Julien Favre8, Patrick Omoumi1, and Ruud B. van Heeswijk1
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, Bordeaux, France, 3IHU LIRYC Electrophysiology and Heart Modeling Institute, Université de Bordeaux, Bordeaux, France, 4CIBM Center for BioMedical Imaging, Lausanne, Switzerland, 5In Vivo Imaging Facility (IVIF), Department of Research and Training, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 6Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 7Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 8Department of Musculoskeletal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
We implemented and compared three different reconstructions for 3D T2 mapping of the knee: I) a standard image reconstruction followed by an analytical fit, II) a standard image reconstruction followed by a dictionary fit, and III) a denoised image reconstruction followed by a dictionary fit. We optimized and compared these techniques in phantoms, five healthy volunteers, and five patients with mild osteoarthritis. The third reconstruction resulted in the highest accuracy and precision while retaining the spatial resolution, and allowed the load-bearing cartilage in the mild-OA patients to be differentiated from that in the healthy volunteers.
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