Szczegóły publikacji
Opis bibliograficzny
A theoretical validation of the B-matrix spatial distribution approach to diffusion tensor imaging / Karol BORKOWSKI, Krzysztof KŁODOWSKI, Henryk FIGIEL, Artur Tadeusz KRZYŻAK // Magnetic Resonance Imaging ; ISSN 0730-725X. — 2017 — vol. 36, s. 1–6. — Bibliogr. s. 6, Abstr. — Publikacja dostępna online od: 2016-10-11
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 102615 |
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Data dodania do BaDAP | 2016-12-08 |
Tekst źródłowy | URL |
DOI | 10.1016/j.mri.2016.10.002 |
Rok publikacji | 2017 |
Typ publikacji | artykuł w czasopiśmie |
Otwarty dostęp | |
Czasopismo/seria | Magnetic Resonance Imaging |
Abstract
The recently presented B-matrix Spatial Distribution (BSD) approach is a calibration technique which derives the actual distribution of the B-matrix in space. It is claimed that taking into account the spatial variability of the B-matrix improves the accuracy of diffusion tensor imaging (DTI). The purpose of this study is to verify this approach theoretically through computer simulations. Assuming three different spatial distributions of the B-matrix, diffusion weighted signals were calculated for the six orientations of a model anisotropic phantom. Subsequently two variants of the BSD calibration were performed for each of the three cases; one with the assumption of high uniformity of the model phantom (uBSD-DTI) and the other taking into account imperfections in phantom structure (BSD-DTI). Several cases of varying degrees of phantom uniformity were analyzed and the distributions of the B-matrix obtained were used for the calculation of the diffusion tensor of a model isotropic phantom. The results were compared with standard diffusion tensor calculation. The simulations confirmed the improvement of accuracy in the determination of the diffusion tensor after the calibration. BSD-DTI improves accuracy independent of both the degree of uniformity of the phantom and the inhomogeneity of the B-matrix. In cases of a relatively good uniformity of the phantom and minor distortions in the spatial distribution of the B-matrix, the uBSD-DTI approach is sufficient. © 2016 Elsevier Inc.