2016
DOI: 10.1016/j.compbiomed.2016.10.023
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Tetrahedral node for Transmission-Line Modeling (TLM) applied to Bio-heat Transfer

Abstract: Transmission-Line Modeling (TLM) is a numerical method used to solve complex and time-domain bio-heat transfer problems. In TLM, parallelepipeds are used to discretize three-dimensional problems. The drawback in using parallelepiped shapes is that instead of refining only the domain of interest, a large additional domain would also have to be refined, which results in increased computational time and memory space. In this paper, we developed a tetrahedral node for TLM applied to bio-heat transfer that does not… Show more

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Cited by 5 publications
(18 citation statements)
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“…This paper presents a general TLM formulation for bio‐heat transfer that can be simplified to previously published formulations . This formulation assumes that the unit vector normal to the border of the node is similar to the unit vector pointing from the center of the node to the midpoint of the border (Equation ), which becomes exact for regular geometries such as rectangles and parallelepipeds.…”
Section: Resultsmentioning
confidence: 99%
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“…This paper presents a general TLM formulation for bio‐heat transfer that can be simplified to previously published formulations . This formulation assumes that the unit vector normal to the border of the node is similar to the unit vector pointing from the center of the node to the midpoint of the border (Equation ), which becomes exact for regular geometries such as rectangles and parallelepipeds.…”
Section: Resultsmentioning
confidence: 99%
“…Because the formulation described in this study reduces to published formulations, it can be said that the following node geometries are already validated: lines and graded lines in 1‐D; squares, rectangles, and triangles in 2‐D; cubes, parallelepipeds, and tetrahedrons in 3‐D. The validation performed in this paper is for non‐previously described node elements, which are irregular quadrangle in 2‐D (Figure A), irregular hexahedron in 3‐D (Figure B), and pyramids in 3‐D (Figure C).…”
Section: Methodsmentioning
confidence: 97%
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