MATI：用于微结构扩散MRI模拟和数据拟合的GPU加速工具箱，具有用户友好的图形界面
MATI: A GPU-Accelerated Toolbox for Microstructural Diffusion MRI Simulation and Data Fitting with a User-Friendly GUI
AI总结：
MATI是一个基于MATLAB的GPU加速工具箱，提供图形界面，支持微结构扩散MRI的模拟与多种数据拟合方法，旨在提高可访问性和效率，促进先进成像技术的临床应用。
摘要：
MATI（微结构成像分析工具箱）是一个基于MATLAB的多功能工具箱，结合了微结构dMRI研究的模拟和数据拟合能力。它提供了一个用户友好的、图形界面驱动的界面，使研究人员（包括没有编程经验的人员）能够执行先进的MRI模拟和数据分析。在模拟方面，MATI支持任意的微结构组织模型和脉冲序列。在数据拟合方面，MATI支持一系列拟合方法，包括传统的非线性最小二乘法、贝叶斯方法、机器学习和字典匹配方法，允许用户根据特定的研究需求定制分析。通过向量化矩阵运算和高性能数值库的优化，MATI实现了高计算效率，能够在CPU和GPU硬件上进行快速模拟和数据拟合。虽然MATI是为微结构dMRI设计的，但其通用框架可以扩展到其他成像方法，使其成为定量MRI研究的灵活且可扩展的工具。通过提高可访问性和效率，MATI为将先进成像技术转化为临床应用迈出了重要一步。
英文摘要：
MATI (Microstructural Analysis Toolbox for Imaging) is a versatile MATLAB-based toolbox that combines both simulation and data fitting capabilities for microstructural dMRI research. It provides a user-friendly, GUI-driven interface that enables researchers, including those without programming experience, to perform advanced MRI simulations and data analyses. For simulation, MATI supports arbitrary microstructural modeled tissues and pulse sequences. For data fitting, MATI supports a range of fitting methods including traditional non-linear least squares, Bayesian approaches, machine learning, and dictionary matching methods, allowing users to tailor analyses based on specific research needs. Optimized with vectorized matrix operations and high-performance numerical libraries, MATI achieves high computational efficiency, enabling rapid simulations and data fitting on CPU and GPU hardware. While designed for microstructural dMRI, MATI's generalized framework can be extended to other imaging methods, making it a flexible and scalable tool for quantitative MRI research. By enhancing accessibility and efficiency, MATI offers a significant step toward translating advanced imaging techniques into clinical applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
