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      Magnetic resonance bone imaging: applications to vertebral lesions

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          Abstract

          MR bone imaging is a recently introduced technique, that allows visualization of bony structures in good contrast against adjacent structures, like CT. Although CT has long been considered the modality of choice for bone imaging, MR bone imaging allows visualization of the bone without radiation exposure while simultaneously allowing conventional MR images to be obtained. Accordingly, MR bone imaging is expected as a new imaging technique for the diagnosis of miscellaneous spinal diseases. This review presents several sequences used in MR bone imaging including black bone imaging, ultrashort/zero echo time (UTE/ZTE) sequences, and T1-weighted 3D gradient-echo sequence. We also illustrate clinical cases in which spinal lesions could be effectively demonstrated on MR bone imaging, performed in most cases using a 3D gradient-echo sequence at our institution. The lesions presented herein include degenerative diseases, tumors and similar diseases, fractures, infectious diseases, and hemangioma. Finally, we discuss the differences between MR bone imaging and previously reported techniques, and the limitations and future perspectives of MR bone imaging.

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          Most cited references39

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          Degenerative disk disease: assessment of changes in vertebral body marrow with MR imaging.

          The authors reviewed magnetic resonance (MR) images of 474 consecutive patients referred for lumbar spine MR imaging. Type 1 changes (decreased signal intensity on T1-weighted spin-echo images and increased signal intensity on T2-weighted images) were identified in 20 patients (4%) and type 2 (increased signal intensity on T1-weighted images and isointense or slightly increased signal intensity on T2-weighted images) in 77 patients (16%). In all cases there was evidence of associated degenerative disk disease at the level of involvement. Histopathologic sections in three cases of type 1 change demonstrated disruption and fissuring of the end plates and vascularized fibrous tissue, while in three cases of type 2 change they demonstrated yellow marrow replacement. In addition, 16 patients with end-plate changes documented with MR were studied longitudinally. Type 1 changes in five of six patients converted to a type 2 pattern in 14 months to 3 years. Type 2 changes in ten patients remained stable over a 2-3-year period. These signal intensity changes appear to reflect a spectrum of vertebral body marrow changes associated with degenerative disk disease.
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            MR-based synthetic CT generation using a deep convolutional neural network method.

            Xiao Han (2017)
            Interests have been rapidly growing in the field of radiotherapy to replace CT with magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and the desire to reduce unnecessary radiation dose. MR-only radiotherapy also simplifies clinical workflow and avoids uncertainties in aligning MR with CT. Methods, however, are needed to derive CT-equivalent representations, often known as synthetic CT (sCT), from patient MR images for dose calculation and DRR-based patient positioning. Synthetic CT estimation is also important for PET attenuation correction in hybrid PET-MR systems. We propose in this work a novel deep convolutional neural network (DCNN) method for sCT generation and evaluate its performance on a set of brain tumor patient images.
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              Zero TE MR bone imaging in the head.

              To investigate proton density (PD)-weighted zero TE (ZT) imaging for morphological depiction and segmentation of cranial bone structures.
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                Author and article information

                Contributors
                tsuchiyak-kyr@umin.ac.jp
                Journal
                Jpn J Radiol
                Jpn J Radiol
                Japanese Journal of Radiology
                Springer Nature Singapore (Singapore )
                1867-1071
                1867-108X
                20 May 2023
                20 May 2023
                2023
                : 41
                : 11
                : 1173-1185
                Affiliations
                [1 ]Department of Radiology, JR Tokyo General Hospital, ( https://ror.org/043p8z282) 2-1-3 Yoyogi, Shibuya-ku, Tokyo, 151-8528 Japan
                [2 ]Department of Radiology, Faculty of Medicine, Kyorin University, ( https://ror.org/0188yz413) 6-20-2 Shinkawa, Mitaka City, Tokyo 181-8611 Japan
                Author information
                http://orcid.org/0000-0001-5018-7756
                Article
                1449
                10.1007/s11604-023-01449-4
                10613598
                37209299
                b50eb6fb-da34-47f3-b144-518116e27a3b
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 March 2023
                : 12 May 2023
                Categories
                Invited Review
                Custom metadata
                © Japan Radiological Society 2023

                spine,mr imaging,bone imaging,ct-like mri
                spine, mr imaging, bone imaging, ct-like mri

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