Gray William R, Bogovic John A, Vogelstein Joshua T, Landman Bennett A, Prince Jerry L, Vogelstein R J
Johns Hopkins University, Baltimore, Maryland, USA.
IEEE Pulse. 2012 Mar;3(2):42-8. doi: 10.1109/MPUL.2011.2181023.
This article presents a novel, tightly integrated pipeline for estimating a connectome. The pipeline utilizes magnetic resonance (MR) imaging (MRI) data to produce a high-level estimate of the structural connectivity in the human brain. The MR connectome automated pipeline (MRCAP) is efficient, and its modular construction allows researchers to modify algorithms to meet their specific requirements. The pipeline has been validated, and more than 200 connectomes have been processed and analyzed to date.
本文提出了一种用于估计连接组的新颖、紧密集成的流程。该流程利用磁共振（MR）成像（MRI）数据来生成人类大脑结构连接性的高级估计。磁共振连接组自动流程（MRCAP）效率高，其模块化结构使研究人员能够修改算法以满足他们的特定需求。该流程已经过验证，迄今为止已处理和分析了200多个连接组。
