Challenges for biophysical modeling of microstructure.
Challenges for biophysical modeling of microstructure.
复制标题
微观结构生物物理建模的挑战。
DOI：
10.1016/j.jneumeth.2020.108861
复制
发表时间：
2020-10-01
影响因子：
3
通讯作者：
Schilling, Kurt G.
中科院分区：
文献类型：
--
作者：
Jelescu, Ileana O.;Palombo, Marco;Bagnato, Francesca;Schilling, Kurt G.
在过去的25年中，扩散MRI的生物物理建模工作有了相当大的增长。在这篇综述中，我们详述了将生物物理模型从初始设计到临床实施的过程中沿着的各种挑战，确定了已经克服的障碍和突出的问题。首先，我们描述了关键的初始任务，选择哪些组织的微观结构的特征可以使用模型进行估计，并需要实施的采集协议，使估计成为可能。模型性能必须在现实的数值模拟和实验数据中进行测试-相应地调整拟合策略，并且参数估计值应在可用时/如果可用，则应根据补充技术进行验证。其次，应在病理条件下探索模型的性能和有效性，并在适当的情况下，应开发专用的病理模型。我们建立在肿瘤，缺血和脱髓鞘疾病的例子。然后，我们讨论了与临床翻译和附加值相关的挑战。最后，我们挑出四个主要的未解决的挑战，涉及：可用性的微观结构的地面真相，验证模型参数，不能访问与互补技术，开发一个通用的标准模型的任何大脑区域和病理学，和参与的发展和应用的生物物理模型的扩散的不同各方之间的无缝通信。
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25 years. In this review, we dwell on the various challenges along the journey of bringing a biophysical model from initial design to clinical implementation, identifying both hurdles that have been already overcome and outstanding issues. First, we describe the critical initial task of selecting which features of tissue microstructure can be estimated using a model and which acquisition protocol needs to be implemented to make the estimation possible. The model performance should necessarily be tested in realistic numerical simulations and in experimental data – adapting the fitting strategy accordingly, and parameter estimates should be validated against complementary techniques, when/if available. Secondly, the model performance and validity should be explored in pathological conditions, and, if appropriate, dedicated models for pathology should be developed. We build on examples from tumors, ischemia and demyelinating diseases. We then discuss the challenges associated with clinical translation and added value. Finally, we single out four major unresolved challenges that are related to: the availability of a microstructural ground truth, the validation of model parameters which cannot be accessed with complementary techniques, the development of a generalized standard model for any brain region and pathology, and the seamless communication between different parties involved in the development and application of biophysical models of diffusion.
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影响因子：
5.7
作者：
Benjamini D;Basser PJ
通讯作者：
Basser PJ
影响因子：
4.2
作者：
Benitez A;Jensen JH;Falangola MF;Nietert PJ;Helpern JA
通讯作者：
Helpern JA
DOI：
10.1006/jmrb.1994.1037
发表时间：
1994-03-01
期刊：
JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子：
--
作者：
BASSER, PJ;MATTIELLO, J;LEBIHAN, D
通讯作者：
LEBIHAN, D
影响因子：
8.3
作者：
Baron, Corey Allan;Kate, Mahesh;Beaulieu, Christian
通讯作者：
Beaulieu, Christian
影响因子：
3.3
作者：
Assaf, Y;Freidlin, RZ;Basser, PJ
通讯作者：
Basser, PJ