Effect of b Value on Imaging Quality for Diffusion Tensor Imaging of the Spinal Cord at Ultrahigh Field Strength

Author:

Bao Shu-Sheng1ORCID,Zhao Can2ORCID,Bao Xing-Xing1ORCID,Rao Jia-Sheng13ORCID

Affiliation:

1. Beijing Key Laboratory for Biomaterials and Neural Regeneration, Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China

2. Institute of Rehabilitation Engineering, China Rehabilitation Science Institute, Beijing 100068, China

3. Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100083, China

Abstract

Objective. To explore the optimal b value setting for diffusion tensor imaging of rats’ spinal cord at ultrahigh field strength (7 T). Methods. Spinal cord diffusion tensor imaging data were collected from 14 rats (5 healthy, 9 spinal cord injured) with a series of b values (200, 300, 400, 500, 600, 700, 800, 900, and 1000 s/mm2) under the condition that other scanning parameters were consistent. The image quality (including image signal-to-noise ratio and image distortion degree) and data quality (i.e., the stability and consistency of the DTI-derived parameters, referred to as data stability and data consistency) were quantitatively evaluated. The min-max normalization method was used to process the calculation results of the four indicators. Finally, the image and data quality under each b value were synthesized to determine the optimal b value. Results. b = 200 s / m m 2 and b = 900 s / m m 2 ranked in the top two of the comprehensive evaluation, with the best image quality at b = 200 s / m m 2 and the best data quality at b = 900 s / m m 2 . Conclusion. Considering the shortcomings of the ability of low b values to reflect the microstructure, b = 900 s / m m 2 can be used as the optimal b value for 7 T spinal cord diffusion tensor scanning.

Funder

Fundamental Research Funds for the Central Universities

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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