Literature DB >> 19052934

Effects of gradient encoding and number of signal averages on fractional anisotropy and fiber density index in vivo at 1.5 tesla.

E Widjaja1, S Z Mahmoodabadi, D Rea, R Moineddin, L Vidarsson, D Nilsson.   

Abstract

BACKGROUND: Tensor estimation can be improved by increasing the number of gradient directions (NGD) or increasing the number of signal averages (NSA), but at a cost of increased scan time.
PURPOSE: To evaluate the effects of NGD and NSA on fractional anisotropy (FA) and fiber density index (FDI) in vivo.
MATERIAL AND METHODS: Ten healthy adults were scanned on a 1.5T system using nine different diffusion tensor sequences. Combinations of 7 NGD, 15 NGD, and 25 NGD with 1 NSA, 2 NSA, and 3 NSA were used, with scan times varying from 2 to 18 min. Regions of interest (ROIs) were placed in the internal capsules, middle cerebellar peduncles, and splenium of the corpus callosum, and FA and FDI were calculated. Analysis of variance was used to assess whether there was a difference in FA and FDI of different combinations of NGD and NSA.
RESULTS: There was no significant difference in FA of different combinations of NGD and NSA of the ROIs (P>0.005). There was a significant difference in FDI between 7 NGD/1 NSA and 25 NGD/3 NSA in all three ROIs (P<0.005). There were no significant differences in FDI between 15 NGD/3 NSA, 25 NGD/1 NSA, and 25 NGD/2 NSA and 25 NGD/3 NSA in all ROIs (P>0.005).
CONCLUSION: We have not found any significant difference in FA with varying NGD and NSA in vivo in areas with relatively high anisotropy. However, lower NGD resulted in reduced FDI in vivo. With larger NGD, NSA has less influence on FDI. The optimal sequence among the nine sequences tested with the shortest scan time was 25 NGD/1 NSA.

Mesh:

Year:  2009        PMID: 19052934     DOI: 10.1080/02841850802555646

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  2 in total

1.  Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom.

Authors:  Sang Joon Kim; Choong Gon Choi; Jeong Kon Kim; Sung-Cheol Yun; Geon-Ho Jahng; Ha-Kyu Jeong; Eun Ju Kim
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

2.  K-Optimal Gradient Encoding Scheme for Fourth-Order Tensor-Based Diffusion Profile Imaging.

Authors:  Mohammad Alipoor; Irene Yu-Hua Gu; Andrew Mehnert; Stephan E Maier; Göran Starck
Journal:  Biomed Res Int       Date:  2015-09-14       Impact factor: 3.411

  2 in total

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