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

doi:10.1109/MPUL.2011.2181023

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

Whiting School of Engineering

Research output: Contribution to journal › Review article › peer-review

22 Scopus citations

Abstract

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 language	English (US)
Article number	6173097
Pages (from-to)	42-48
Number of pages	7
Journal	IEEE Pulse
Volume	3
Issue number	2
DOIs	https://doi.org/10.1109/MPUL.2011.2181023
State	Published - Mar 2012

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/MPUL.2011.2181023

Cite this

@article{4990fabafb134b68930f0d4693c8551d,

title = "Magnetic resonance connectome automated pipeline: An overview",

abstract = "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.",

author = "Gray, {William R.} and Bogovic, {John A.} and Vogelstein, {Joshua T.} and Landman, {Bennett A.} and Prince, {Jerry L.} and Vogelstein, {R. Jacob}",

year = "2012",

month = mar,

doi = "10.1109/MPUL.2011.2181023",

language = "English (US)",

volume = "3",

pages = "42--48",

journal = "IEEE Pulse",

issn = "2154-2287",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Magnetic resonance connectome automated pipeline

T2 - An overview

AU - Gray, William R.

AU - Bogovic, John A.

AU - Vogelstein, Joshua T.

AU - Landman, Bennett A.

AU - Prince, Jerry L.

AU - Vogelstein, R. Jacob

PY - 2012/3

Y1 - 2012/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84859719907&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84859719907&partnerID=8YFLogxK

U2 - 10.1109/MPUL.2011.2181023

DO - 10.1109/MPUL.2011.2181023

M3 - Review article

C2 - 22481745

AN - SCOPUS:84859719907

SN - 2154-2287

VL - 3

SP - 42

EP - 48

JO - IEEE Pulse

JF - IEEE Pulse

IS - 2

M1 - 6173097

ER -

Magnetic resonance connectome automated pipeline: An overview

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this