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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
de Souza, Edna Marina [1, 2, 3, 4] ; Costa, Eduardo Tavares [2, 3] ; Castellano, Gabriela [1, 4]
Número total de Autores: 3
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: RADIOLOGICAL PHYSICS AND TECHNOLOGY; v. 12, n. 2, p. 161-171, JUN 2019.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 13/07559-3 - Instituto Brasileiro de Neurociência e Neurotecnologia - BRAINN
Beneficiário:Fernando Cendes
Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs