Literature DB >> 32299762

Bone-Selective MRI as a Nonradiative Alternative to CT for Craniofacial Imaging.

Rosaline Zhang1, Hyunyeol Lee2, Xia Zhao2, Hee Kwon Song2, Arastoo Vossough3, Felix W Wehrli2, Scott P Bartlett4.   

Abstract

RATIONAL AND
OBJECTIVES: Computed tomography (CT) is the clinical gold-standard for high-resolution 3D visualization of cortical bone structures. However, ionizing radiation is of concern, particularly for pediatric patients. This study evaluates the feasibility of producing 3D human skull renderings using a novel bone-selective magnetic resonance imaging technique.
MATERIALS AND METHODS: A dual-radiofrequency pulse, dual-echo, 3D ultrashort echo time sequence was applied for scanning of a cadaver skull and five healthy adult subjects. Scans were each completed within 6 minutes. Semiautomatic segmentation of bone voxels was performed using ITK-SNAP software, leading to 3D renderings of the skulls. For comparison, thin-slice head CT scans were performed. Mimics software was used to measure eight anatomic distances from 3D renderings. Lin's Concordance Correlation test was applied to assess agreement between measurements from MR-based and CT-based 3D skull renderings.
RESULTS: The 3D rendered MR images depict most craniofacial features (e.g., zygomatic arch), although some voxels were erroneously included or excluded in the renderings. MR-based measurements differed from CT-based measurements by mean percent difference ranging from 2.3%-5.0%. Lin's Concordance Correlation Coefficients for MR-based vs CT-based measurements ranged from 0.998-1.000.
CONCLUSION: The proposed dual-radiofrequency dual-echo 3D ultrashort echo time imaging technique produces high-resolution bone-specific images within a clinically feasible imaging time, leading to clear visualization of craniofacial skeletal structures. Concordance coefficients suggest good reliability of the method compared to CT. The method is currently limited by time and manual input necessary for segmentation correction. Further investigation is needed for more accurate 3D renderings and for scanning of pediatric patients.
Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; Craniofacial; MRI

Year:  2020        PMID: 32299762     DOI: 10.1016/j.acra.2020.03.001

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

Review 1.  Complexity and data mining in dental research: A network medicine perspective on interceptive orthodontics.

Authors:  Tommaso Gili; Gabriele Di Carlo; Silvia Capuani; Pietro Auconi; Guido Caldarelli; Antonella Polimeni
Journal:  Orthod Craniofac Res       Date:  2021-09-14       Impact factor: 2.563

2.  Automatic Segmentation of Bone Selective MR Images for Visualization and Craniometry of the Cranial Vault.

Authors:  Carrie E Zimmerman; Pulkit Khandelwal; Long Xie; Hyunyeol Lee; Hee Kwon Song; Paul A Yushkevich; Arastoo Vossough; Scott P Bartlett; Felix W Wehrli
Journal:  Acad Radiol       Date:  2021-04-24       Impact factor: 3.173

Review 3.  Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review.

Authors:  Mateusz C Florkow; Koen Willemsen; Vasco V Mascarenhas; Edwin H G Oei; Marijn van Stralen; Peter R Seevinck
Journal:  J Magn Reson Imaging       Date:  2022-01-19       Impact factor: 5.119

  3 in total

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