The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI

被引：193

作者：

Daducci, Alessandro ^{[1
]}

Gerhard, Stephan ^{[1
]}

Griffa, Alessandra ^{[1
,2
,3
]}

Lemkaddem, Alia ^{[1
]}

Cammoun, Leila ^{[1
]}

Gigandet, Xavier ^{[1
]}

Meuli, Reto ^{[2
,3
]}

Hagmann, Patric ^{[1
,2
,3
]}

Thiran, Jean-Philippe ^{[1
,2
,3
]}

机构：

[1] Ecole Polytech Fed Lausanne, Signal Proc Lab, Lausanne, Switzerland

[2] Univ Lausanne, Lausanne, Switzerland

[3] Univ Lausanne Hosp, Dept Radiol, Lausanne, Switzerland

来源：

PLOS ONE | 2012年 / 7卷 / 12期

基金：

瑞士国家科学基金会;

关键词：

DIFFUSION; TRACTOGRAPHY; DISTORTION; NETWORK;

D O I：

10.1371/journal.pone.0048121

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra-voxel axonal structure to the estimation of the trajectories of the underlying fibre tracts. However, each package is generally task-specific and uses its own conventions and file formats. In this article we present the Connectome Mapper, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses. Our pipeline is written in Python and is freely available as open-source at www.cmtk.org.

引用

页数：9