Purpose: Compressed Sensing (CS) is an emerging technique to accelerate MRI acquisitions. The aim of this study was to assess the reliability and accuracy of cartilage thickness measurements in the knee using a CS-enabled isotropic 3D Fast Spin-Echo (FSE) sequence on a 3-T MRI scanner.
Methods: Twenty-eight tibial condyle sections were collected from 14 adult patients who underwent total knee arthroplasty.
Purposes: This research highlights the need for affordable phantoms for MRI education. Current options are either expensive or limited. A phantom, easy to manufacture and distribute, is proposed to demonstrate various pedagogical concepts, aiding students in understanding MRI image quality concepts.
View Article and Find Full Text PDFIntroduction: Tissue-mimicking materials (TMMs) are now essential reference objects for quality control, development and training in all medical imaging modalities. This review aims to provide a comprehensive synthesis of materials used in the fabrication of TMMs for MRI phantoms, focusing on their composition, fabrication methods, and relaxation properties (T1 and T2).
Methods: A systematic review was conducted, covering articles published between 1980 and 2023.
Introduction: Practical MRI training is essential for bridging the gap between complex theoretical knowledge and clinical applications. Traditional phantoms used in MRI, such as ACR phantoms, are valuable for illustrating system characterization methods but often lack the anatomical complexity required for realistic training. This study presents the development of high-fidelity anatomical phantoms designed specifically for practical MRI training.
View Article and Find Full Text PDFIntroduction: Strategies for achieving high resolution varies between manufacturers. In CT, the helical mode with narrow collimation has long been considered as the gold standard for high-resolution imaging. More recently, incremental modes with small dexels and focal spot, have been developed but have not been compared with helical acquisitions under optimal conditions.
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