Literature DB >> 16524332

Readdressing the issue of thermally significant blood vessels using a countercurrent vessel network.

Devashish Shrivastava1, Robert B Roemer.   

Abstract

A physiologically realistic arterio-venous countercurrent vessel network model consisting of ten branching vessel generations, where the diameter of each generation of vessels is smaller than the previous ones, has been created and used to determine the thermal significance of different vessel generations by investigating their ability to exchange thermal energy with the tissue. The temperature distribution in the 3D network (8178 vessels; diameters from 10 to 1000 microm) is obtained by solving the conduction equation in the tissue and the convective energy equation with a specified Nusselt number in the vessels. The sensitivity of the exchange of energy between the vessels and the tissue to changes in the network parameters is studied for two cases; a high temperature thermal therapy case when tissue is heated by a uniformly distributed source term and the network cools the tissue, and a hypothermia related case, when tissue is cooled from the surface and the blood heats the tissue. Results show that first, the relative roles of vessels of different diameters are strongly determined by the inlet temperatures to those vessels (e.g., as affected by changing mass flow rates), and the surrounding tissue temperature, but not by their diameter. Second, changes in the following do not significantly affect the heat transfer rates between tissue and vessels; (a) the ratio of arterial to venous vessel diameter, (b) the diameter reduction coefficient (the ratio of diameters of successive vessel generations), and (c) the Nusselt number. Third, both arteries and veins play significant roles in the exchange of energy between tissue and vessels, with arteries playing a more significant role. These results suggest that the determination of which diameter vessels are thermally important should be performed on a case-by-case, problem dependent basis. And, that in the development of site-specific vessel network models, reasonable predictions of the relative roles of different vessel diameters can be obtained by using any physiologically realistic values of Nusselt number and the diameter reduction coefficient.

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Year:  2006        PMID: 16524332     DOI: 10.1115/1.2165693

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  11 in total

1.  Mathematical formulation and analysis of the nonlinear system reconstruction of the online image-guided adaptive control of hyperthermia.

Authors:  Kung-Shan Cheng; Mark W Dewhirst; Paul F Stauffer; Shiva Das
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Radiofrequency heating at 9.4T: in vivo temperature measurement results in swine.

Authors:  Devashish Shrivastava; Timothy Hanson; Robert Schlentz; William Gallaghar; Carl Snyder; Lance Delabarre; Surya Prakash; Paul Iaizzo; J Thomas Vaughan
Journal:  Magn Reson Med       Date:  2008-01       Impact factor: 4.668

3.  Predicting effects of blood flow rate and size of vessels in a vasculature on hyperthermia treatments using computer simulation.

Authors:  Huang-Wen Huang; Tzu-Ching Shih; Chihng-Tsung Liauh
Journal:  Biomed Eng Online       Date:  2010-03-26       Impact factor: 2.819

4.  Effective learning strategies for real-time image-guided adaptive control of multiple-source hyperthermia applicators.

Authors:  Kung-Shan Cheng; Mark W Dewhirst; Paul R Stauffer; Shiva Das
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

5.  In vivo radiofrequency heating in swine in a 3T (123.2-MHz) birdcage whole body coil.

Authors:  Devashish Shrivastava; Lynn Utecht; Jinfeng Tian; John Hughes; J Thomas Vaughan
Journal:  Magn Reson Med       Date:  2013-11-20       Impact factor: 4.668

6.  Bioheat Transfer Basis of Human Thermoregulation: Principles and Applications.

Authors:  Laura H Namisnak; Shahab Haghayegh; Sepideh Khoshnevis; Kenneth R Diller
Journal:  J Heat Transfer       Date:  2022-01-18       Impact factor: 1.855

7.  A generic bioheat transfer thermal model for a perfused tissue.

Authors:  Devashish Shrivastava; J Thomas Vaughan
Journal:  J Biomech Eng       Date:  2009-07       Impact factor: 2.097

Review 8.  Thermal modelling using discrete vasculature for thermal therapy: A review.

Authors:  H Petra Kok; Johanna Gellermann; Cornelis A T van den Berg; Paul R Stauffer; Jeffrey W Hand; Johannes Crezee
Journal:  Int J Hyperthermia       Date:  2013-06       Impact factor: 3.914

9.  Thermostability of biological systems: fundamentals, challenges, and quantification.

Authors:  Xiaoming He
Journal:  Open Biomed Eng J       Date:  2011-04-12

10.  Modelling of pH dynamics in brain cells after stroke.

Authors:  Piotr Orlowski; Michael Chappell; Chang Sub Park; Vicente Grau; Stephen Payne
Journal:  Interface Focus       Date:  2011-03-23       Impact factor: 3.906

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