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国际流体力学研究期刊

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ISSN 打印: 2152-5102

ISSN 在线: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

TISSUE BLOOD PERFUSION INVERSE ANALYSIS: TEMPERATURE VS. HEAT FLUX APPROACH

卷 47, 册 1, 2020, pp. 1-21
DOI: 10.1615/InterJFluidMechRes.2019025020
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摘要

The goal of this study is prediction of blood perfusion through non-homogeneous tissue based on available data of either skin temperature (Dirichlet) or heat flux (Neumann) boundary conditions, and predicting the other. A method proposed for comparing both approaches by solving inverse bio-heat problems is the Boundary Element Method employing Levenberg-Marquardt optimization combined with first-order Tikhonov regularization process and the L-Curve method to determine the optimal value of regularization parameter. Both proposed approaches, Dirichlet and Neumann, have advantages and disadvantages. Our hypothesis was tested by comparing solutions to existing available results as well as to our own results considering different measurement noise levels. The greatest difference between both approaches proposed is the case of low measurement noise where the latter gives better agreement with data, especially for the deep tissue region. The limitation of the proposed method was found to be in the case of high measurement noise where solution was comparable to available measured data in the region close to the boundary. This work should contribute to better understanding of diagnostics of blood perfusion taking advantage of fast measurements of skin temperature and heat flux to determine blood perfusion.

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