Journal Article DZNE-2023-01172

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MR based magnetic susceptibility measurements of 3D printing materials at 3 Tesla

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2023
Elsevier Amsterdam

Journal of magnetic resonance open 16-17, 100138 () [10.1016/j.jmro.2023.100138]

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Abstract: Commercial availability, ease of printing and cost effectiveness have rendered 3D printing an essential part of magnetic resonance (MR) experimental design. However, the magnetic properties of several materials contemporarily used for 3D printing are lacking in literature to some extent. A database of the magnetic susceptibilities of several commonly used 3D printing materials is provided, which may aid MR experiment design. Here, we exploit the capability of magnetic resonance imaging (MRI) to map the local magnetic field variations caused by these materials when placed in the scanner's B0 field. Exact analytical solutions of the magnetic flux density distribution for a cylindrical geometry are utilized to fit experimentally obtained data with theory in order to quantify the magnetic susceptibilities. A detailed explanation of the data processing and fitting procedure is presented and validated by measuring the susceptibility of air along with high resolution MR measurements. Furthermore, an initiative is taken to address the need for a comprehensive database comprising of not only the magnetic susceptibilities of 3D printing materials, but also information on the 3D printing parameters, the printers used, and other information available for the materials that may also influence the measured magnetic properties. An open platform with the magnetic susceptibilities of materials reported in this work besides existing literature values is provided here, with the aim to invite researchers to enable further extension and development towards an open database to characterize commonly used 3D printing materials based on their magnetic properties.

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Contributing Institute(s):
  1. Linking imaging projects iNET (AG Speck)
  2. Pathophysiology of Dementia (AG Reymann)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2023
Database coverage:
Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; DOAJ ; OpenAccess ; DOAJ Seal
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Document types > Articles > Journal Article
Institute Collections > MD DZNE > MD DZNE-AG Reymann
Institute Collections > MD DZNE > MD DZNE-AG Speck
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 Record created 2023-12-18, last modified 2024-03-18


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