Title |
Technical report: 3D printing of the brain for use as a visual-aid tool to communicate MR imaging features of hypoxic ischaemic injury at term with non-physicians
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Published in |
Child's Nervous System, May 2018
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DOI | 10.1007/s00381-018-3838-2 |
Pubmed ID | |
Authors |
Savvas Andronikou, Ewan Simpson, Maciej Klemm, Schadie Vedajallam, Anith Chacko, Ngoc Jade Thai |
Abstract |
3D printing has been used in several medical applications. There are no reports however of 3D printing of the brain in children for demonstrating pathology to non-medical professionals such as lawyers. We printed 3D models of the paediatric brain from volumetric MRI in cases of severe and moderate hypoxic ischaemic injury as well as a normal age matched control, as follows: MRI DICOM data was converted to NifTI (Neuroimaging Informatics Technology Initiative) format; segmentation of the brain into CSF, grey, and white matter was performed; the segmented data was converted to STL format and printed on a commercially available scanner. The characteristic volume loss and surface features of hypoxic ischaemic injury are visible in these models, which could be of value in the communication of the nature and severity of such an insult in a court setting as they can be handled and viewed from up close. |
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Mexico | 1 | 5% |
France | 1 | 5% |
Ireland | 1 | 5% |
Bosnia and Herzegovina | 1 | 5% |
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United States | 1 | 5% |
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Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 16% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
Geographical breakdown
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Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 2 | 15% |
Researcher | 2 | 15% |
Other | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Lecturer | 1 | 8% |
Other | 2 | 15% |
Unknown | 4 | 31% |
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Medicine and Dentistry | 4 | 31% |
Nursing and Health Professions | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 6 | 46% |