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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Investigation of anisotropic fishing line-based phantom as tool in quality control of diffusion tensor imaging

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Author(s):
de Souza, Edna Marina [1, 2, 3, 4] ; Costa, Eduardo Tavares [2, 3] ; Castellano, Gabriela [1, 4]
Total Authors: 3
Affiliation:
[1] Brazilian Inst Neurosci & Neurotechnol BRAINN, Campinas, SP - Brazil
[2] Univ Estadual Campinas, UNICAMP, Biomed Engn Ctr, 163 Alexander Fleming St, Cidade Univ, BR-13083881 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Sch Elect & Comp Engn, Biomed Engn Dept, UNICAMP, Campinas, SP - Brazil
[4] Univ Estadual Campinas, Gleb Wataghin Phys Inst, Neurophys Grp, UNICAMP, 777 Sergio Buarque de Holanda St, BR-13083859 Campinas, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: RADIOLOGICAL PHYSICS AND TECHNOLOGY; v. 12, n. 2, p. 161-171, JUN 2019.
Web of Science Citations: 0
Abstract

This work proposes a low-cost, fishing line-based phantom for quality control of diffusion tensor imaging (DTI). The device was applied to investigate the relationship between DTI indexes (DTIi) and imaging acquisition parameters. A Dyneema((R)) fishing line phantom was built with fiber bundles of different thicknesses. DTI acquisitions were performed in a 3T magnetic resonance imaging scanner using an 8-channel and a 32-channel head coil. For each coil, the following acquisition parameters were changed, one at a time: diffusion sensitivity factor (b value), echo time, sensitivity encoding, voxel size, number of signal averages, and number of diffusion gradient directions (NDGD). DTIi including fractional anisotropy, relative anisotropy (RA), linear anisotropy (CL), and planar anisotropy (CP) were calculated for each image; the data were analyzed using the coefficient of variation (CV) and distributions of DTIi values. The 32-channel head coil presented higher CV values for the DTIi RA, CL, and CP when voxel size was changed. Using the phantom, dependences between diffusion-related parameters (b value and NDGD) and DTIi were also observed; the majority of these were for the smaller thickness fiber bundles. The device proved to be useful for the verification of the DTI performance over time. (AU)

FAPESP's process: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology
Grantee:Fernando Cendes
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC