A criterion for the positive semidefiniteness of a diffusivity function

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED Japan Journal of Industrial and Applied Mathematics Pub Date : 2024-03-15 DOI:10.1007/s13160-024-00650-w
Caili Sang, Jianxing Zhao
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引用次数: 0

Abstract

In magnetic resonance imaging, high angular resolution diffusion imaging (abbr. HARDI) is used to characterize non-Gaussian diffusion processes. One approach to analyzing HARDI data is to model the apparent diffusion coefficient with higher order diffusion tensors from a diffusivity function. An intrinsic property of the diffusivity function is positive semi-definite, which reflects the phenomenon of water molecular diffusion in complicated biological tissue environments. In this paper, we provide a workable criterion for judging the positive semi-definiteness of a diffusivity function and shows that it is effective via two numerical examples.

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扩散函数的正半定性标准
在磁共振成像中,高角度分辨率扩散成像(HARDI)用于描述非高斯扩散过程。分析 HARDI 数据的一种方法是利用扩散函数中的高阶扩散张量为表观扩散系数建模。扩散函数的一个固有特性是正半有限性,这反映了水分子在复杂的生物组织环境中的扩散现象。本文提供了一个判断扩散函数正半定性的可行标准,并通过两个数值示例说明了该标准的有效性。
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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
56
审稿时长
>12 weeks
期刊介绍: Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.
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