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一种通过铁磁种子加热快速准确计算稳态温度的新计算机方法。

A new computer method to quickly and accurately compute steady-state temperatures from ferromagnetic seed heating.

作者信息

Indik R A, Indik J H

机构信息

Department of Mathematics, University of Arizona, Tucson 85721.

出版信息

Med Phys. 1994 Jul;21(7):1135-44. doi: 10.1118/1.597340.

Abstract

A new, very fast, yet accurate program, MGSEED, has been developed that computes steady-state temperatures from the three-dimensional bioheat transfer equation due to heating by a ferromagnetic seed. Seeds have a self-regulating power absorption characteristic such that their temperatures remain within a few degrees of their Curie transition point. The code is also very flexible, being able to model a seed of any orientation embedded in a tissue domain that can be inhomogeneous with respect to blood perfusion or thermal conductivity. MGSEED uses multigrid (or multilevel) programming techniques as well as a finite volume discretization that exploits knowledge of the approximate shape of the temperature solution very near to a seed. These techniques allow the code to sample the seed very coarsely, requiring only one or two nodes to cross the seed. With these coarse samplings MGSEED calculated very accurate temperatures in under 3 min of CPU time on a Sun Sparcstation 2. The accuracy of MGSEED is demonstrated at different levels of perfusion by comparing its solution in a perpendicular plane that bisects the seed with the known analytical solution. The speed of MGSEED is compared to other methods of solution and it is found that MGSEED performs 14 times faster than successive over relaxation and conjugate gradient methods, and 2.5 times faster than a preconditioned (modified block incomplete Cholesky) conjugate gradient method. It is concluded that the techniques for discretization and solution incorporated into MGSEED can greatly improve the flexibility and speed of hyperthermia treatment planning, which could ultimately lead to an increased level of control over treatment outcome.

摘要

已经开发出一个新的、速度非常快且准确的程序MGSEED,它可根据铁磁种子加热产生的三维生物热传递方程计算稳态温度。种子具有自调节功率吸收特性,使得它们的温度保持在居里转变点的几度范围内。该代码也非常灵活,能够对嵌入组织域中的任何取向的种子进行建模,该组织域在血液灌注或热导率方面可以是不均匀的。MGSEED使用多重网格(或多层)编程技术以及有限体积离散化,该离散化利用了非常接近种子的温度解的近似形状的知识。这些技术允许代码对种子进行非常粗略的采样,只需要一两个节点穿过种子。通过这些粗略采样,MGSEED在Sun Sparcstation 2上的CPU时间不到3分钟内就能计算出非常准确的温度。通过将其在平分种子的垂直平面上的解与已知的解析解进行比较,证明了MGSEED在不同灌注水平下的准确性。将MGSEED的速度与其他求解方法进行了比较,发现MGSEED的速度比逐次超松弛法和共轭梯度法快倍,比预处理(修正块不完全乔列斯基)共轭梯度法快2.5倍。得出的结论是,纳入MGSEED的离散化和求解技术可以大大提高热疗治疗计划的灵活性和速度,这最终可能导致对治疗结果的控制水平提高。 14

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