A new computational approach for modeling diffusion tractography in the brain

作     者：Harsha T.Garimella Reuben H.Kraft 

作者机构：Department of Mechanical and Nuclear EngineeringDepartment of Biomedical EngineeringThe Pennsylvania State UniversityUniversity ParkPAUSA 

出 版 物：《Neural Regeneration Research》 (中国神经再生研究（英文版）)

年 卷 期：2017年第12卷第1期

页      面：23-26页

核心收录：

学科分类：1002[医学-临床医学] 100204[医学-神经病学] 10[医学] 

基　　金：support provided by Computational Fluid Dynamics Research Corporation(CFDRC)under a sub-contract funded by the Department of Defense Department of Health Program through contract W81XWH-14-C-0045 

主　　题：embedded elements finite element analysis computational biomechanics explicit axonal fiber tracts neural regeneration diffusion tractography 

摘      要：Computational models provide additional tools for studying the brain,however,many techniques are currently disconnected from each *** is a need for new computational approaches that span the range of physics operating in the *** this review paper,we offer some new perspectives on how the embedded element method can fill this gap and has the potential to connect a myriad of modeling *** embedded element method is a mesh superposition technique used within finite element *** method allows for the incorporation of axonal fiber tracts to be explicitly ***,we explore the use of the approach beyond its original goal of predicting axonal strain in brain *** explore the potential application of the embedded element method in areas of electrophysiology,neurodegeneration,neuropharmacology and *** conclude that this method has the potential to provide us with an integrated computational framework that can assist in developing improved diagnostic tools and regeneration technologies.