Magnetic resonance connectome automated pipeline: An overview

William R. Gray, John A. Bogovic, Joshua T. Vogelstein, Bennett A. Landman, Jerry L. Prince, R. Jacob Vogelstein

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations


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.

Original languageEnglish (US)
Article number6173097
Pages (from-to)42-48
Number of pages7
JournalIEEE Pulse
Issue number2
StatePublished - Mar 2012

ASJC Scopus subject areas

  • Biomedical Engineering


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