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      Magnetic Resonance Imaging Versus Computed Tomography for Three‐Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review

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          Abstract

          <p class="first" id="d1867447e332">Magnetic resonance imaging (MRI) is increasingly utilized as a radiation‐free alternative to computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal pathologies. MR imaging of hard tissues such as cortical bone remains challenging due to their low proton density and short transverse relaxation times, rendering bone tissues as nonspecific low signal structures on MR images obtained from most sequences. Developments in MR image acquisition and post‐processing have opened the path for enhanced MR‐based bone visualization aiming to provide a CT‐like contrast and, as such, ease clinical interpretation. The purpose of this review is to provide an overview of studies comparing MR and CT imaging for diagnostic and treatment planning purposes in orthopedic care, with a special focus on selective bone visualization, bone segmentation, and three‐dimensional (3D) modeling. This review discusses conventional gradient‐echo derived techniques as well as dedicated short echo time acquisition techniques and post‐processing techniques, including the generation of synthetic CT, in the context of 3D and specific bone visualization. Based on the reviewed literature, it may be concluded that the recent developments in MRI‐based bone visualization are promising. MRI alone provides valuable information on both bone and soft tissues for a broad range of applications including diagnostics, 3D modeling, and treatment planning in multiple anatomical regions, including the skull, spine, shoulder, pelvis, and long bones. </p><div class="section"> <a class="named-anchor" id="jmri28067-sec-0002"> <!-- named anchor --> </a> <h5 class="section-title" id="d1867447e335">Level of Evidence</h5> <p id="d1867447e337">3</p> </div><div class="section"> <a class="named-anchor" id="jmri28067-sec-0003"> <!-- named anchor --> </a> <h5 class="section-title" id="d1867447e340">Technical Efficacy</h5> <p id="d1867447e342">Stage 3</p> </div>

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          Most cited references132

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          U-Net: Convolutional Networks for Biomedical Image Segmentation

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            • Record: found
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            Simple proton spectroscopic imaging.

            Simple modification of a spin echo imaging pulse sequence generates useful spectroscopic information at 0.35 T. New images are produced that show water only, fat only, and the difference between water and fat intensity. Imaging speed, spatial resolution, and signal-to-noise ratio are comparable with ordinary imaging. The method provides new parameters for tissue characterization and improved contrast between some organs.
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              Neuropsychological and Behavioral Outcomes after Exposure of Young Children to Procedures Requiring General Anesthesia

              Few studies of how exposure of children to anesthesia may affect neurodevelopment employ comprehensive neuropsychological assessments. This study tested the hypothesis that exposure to multiple, but not single, procedures requiring anesthesia before age 3 yr is associated with adverse neurodevelopmental outcomes.
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                Author and article information

                Contributors
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                Journal
                Journal of Magnetic Resonance Imaging
                Magnetic Resonance Imaging
                Wiley
                1053-1807
                1522-2586
                January 19 2022
                Affiliations
                [1 ]Image Sciences Institute University Medical Center Utrecht Utrecht The Netherlands
                [2 ]Department of Orthopedics University Medical Center Utrecht Utrecht The Netherlands
                [3 ]Musculoskeletal Imaging Unit Imaging Center, Hospital da Luz Lisbon Portugal
                [4 ]Department of Radiology and Nuclear Medicine Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands
                [5 ]MRIguidance BV Utrecht The Netherlands
                Article
                10.1002/jmri.28067
                781f5204-be07-49d9-8a8d-b6900cf49c5f
                © 2022

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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