Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging Structural connectivity of the human brain

被引：12

作者：

Li, Junning ^{[1
,2
]}

Shi, Yonggang ^{[1
,2
]}

Toga, Arthur W. ^{[2
,3
]}

机构：

[1] Univ Calif Los Angeles, Lab Neuro Imaging, Los Angeles, CA USA

[2] Univ So Calif, Mark & Mary Stevens Neuroimaging & Informat Inst, Los Angeles, CA 90089 USA

[3] Univ Calif Los Angeles, Neurol, Los Angeles, CA 90024 USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2016年 / 33卷 / 03期

基金：

美国国家卫生研究院;

关键词：

ECHO-PLANAR IMAGES; MRI; RESOLUTION; TRACTOGRAPHY; SIGNAL;

D O I：

10.1109/MSP.2015.2510024

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In 2009, the National Institutes of Health ambitiously launched the Human Connectome Project [1] to promote engineering capabilities for imaging and analyzing brain connections. One of the primarily promoted technologies is diffusion magnetic resonance (dMR) imaging, which noninvasively maps brain connectivity at a macroscopic scale by measuring water molecules? anisotropic diffusion constrained by neural fibers. Following years of steady advancement, the dMR imaging technique has reached unprecedented spatial and angular resolution, and its computational analysis methods, stimulated by growing research needs, have also blossomed. This has been achieved by joint contributions from various areas, such as signal processing, applied mathematics, network analysis, and so on. In this article, we outline the milestones on this exciting path of interdisciplinary technology development with the aim of bringing these advancements to engineers outside the medical imaging community. © 2016 IEEE.

引用

页码：36 / 51

页数：16

共 55 条

[1] A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features [J].