Literature DB >> 28114217

Three-Dimensional Reconstruction of the Craniofacial Skeleton With Gradient Echo Magnetic Resonance Imaging ("Black Bone"): What Is Currently Possible?

Karen A Eley1, Stephen R Watt-Smith, Stephen J Golding.   

Abstract

Three-dimensional (3D) reconstructed computed tomography (CT) imaging has become an integral component of craniomaxillofacial patient care. However, with increasing concern regarding the use of ionizing radiation, particularly in children with benign conditions who require repeated examinations, dose reduction and nonionizing alternatives are actively being sought. The "Black Bone" magnetic resonance imaging (MRI) technique provides uniform contrast of the soft tissues to enhance the definition of cortical bone. The aim of this study was to develop methods of 3D rendering of the craniofacial skeleton and to ascertain their accuracy. "Black Bone" MRI datasets acquired from phantoms, adult volunteers and patients were segmented and surface and/or volume rendered using 4 commercially available or open source software packages. Accuracy was explored using a custom phantom (permitting direct measurement), CT and MRI. "Black Bone" MRI datasets were successfully used to create 3D rendered images of the craniofacial skeleton in all 4 software packages. Comparable accuracy was achieved between CT and MRI 3D rendered images of the phantom. The "Black Bone" MRI technique provides a viable 3D alternative to CT examination when imaging the craniofacial skeleton.

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Year:  2017        PMID: 28114217     DOI: 10.1097/SCS.0000000000003219

Source DB:  PubMed          Journal:  J Craniofac Surg        ISSN: 1049-2275            Impact factor:   1.046


  9 in total

1.  Use of black-bone MRI in the diagnosis of the patients with posterior plagiocephaly.

Authors:  Linda Kuusela; Ada Hukki; Nina Brandstack; Taina Autti; Junnu Leikola; Anne Saarikko
Journal:  Childs Nerv Syst       Date:  2018-03-29       Impact factor: 1.475

2.  "Black Bone" MRI: a novel imaging technique for 3D printing.

Authors:  Karen A Eley; Stephen R Watt-Smith; Stephen J Golding
Journal:  Dentomaxillofac Radiol       Date:  2017-01-27       Impact factor: 2.419

3.  Deep-learning synthesized pseudo-CT for MR high-resolution pediatric cranial bone imaging (MR-HiPCB).

Authors:  Parna Eshraghi Boroojeni; Yasheng Chen; Paul K Commean; Cihat Eldeniz; Gary B Skolnick; Corinne Merrill; Kamlesh B Patel; Hongyu An
Journal:  Magn Reson Med       Date:  2022-06-17       Impact factor: 3.737

Review 4.  Imaging of Bone in the Head and Neck Region, is There More Than CT?

Authors:  Karen A Eley; Gaspar Delso
Journal:  Curr Radiol Rep       Date:  2022-04-16

5.  Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images.

Authors:  Karen A Eley; Gaspar Delso
Journal:  Neuroradiology       Date:  2020-08-08       Impact factor: 2.804

Review 6.  Clinical application of "black bone" imaging in paediatric craniofacial disorders.

Authors:  Xi Zhen Low; Mei Chin Lim; Vincent Nga; Gangadhara Sundar; Ai Peng Tan
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

7.  On-site CAD templates reduce surgery time for complex craniostenosis repair in infants: a new method.

Authors:  Markus Lehner; D Wendling-Keim; M Kunz; S Deininger; S Zundel; A Peraud; G Mast
Journal:  Childs Nerv Syst       Date:  2020-01-03       Impact factor: 1.475

8.  "Black bone": the new backbone in CAD/CAM-assisted craniosynostosis surgery?

Authors:  Bernd Lethaus; Dimitar Gruichev; Daniel Gräfe; Alexander K Bartella; Sebastian Hahnel; Tsanko Yovev; Niels Christian Pausch; Matthias Krause
Journal:  Acta Neurochir (Wien)       Date:  2020-06-09       Impact factor: 2.216

9.  3D pediatric cranial bone imaging using high-resolution MRI for visualizing cranial sutures: a pilot study.

Authors:  Kamlesh B Patel; Cihat Eldeniz; Gary B Skolnick; Udayabhanu Jammalamadaka; Paul K Commean; Manu S Goyal; Matthew D Smyth; Hongyu An
Journal:  J Neurosurg Pediatr       Date:  2020-06-12       Impact factor: 2.375

  9 in total

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