预处理器
工作流程
磁共振弥散成像
计算机科学
软件
扩散
集合(抽象数据类型)
磁共振成像
采样(信号处理)
数据挖掘
人工智能
模式识别(心理学)
计算机视觉
数据库
物理
医学
放射科
滤波器(信号处理)
程序设计语言
热力学
作者
Matthew Cieslak,Philip A. Cook,Xiaosong He,Fang‐Cheng Yeh,Thijs Dhollander,Azeez Adebimpe,Geoffrey K. Aguirre,Danielle S. Bassett,Richard F. Betzel,Josiane Bourque,Laura Cabral,Christos Davatzikos,John A. Detre,Eric Earl,Mark A. Elliott,Shreyas Fadnavis,Damien A. Fair,Will Foran,Panagiotis Fotiadis,Eleftherios Garyfallidis
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2021-06-21
卷期号:18 (7): 775-778
被引量:298
标识
DOI:10.1038/s41592-021-01185-5
摘要
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here we introduce QSIPrep, an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes. Drawing on a diverse set of software suites to capitalize on their complementary strengths, QSIPrep facilitates the implementation of best practices for processing of diffusion images.
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