Title :
Magnetic Resonance Connectome Automated Pipeline: An Overview
Author :
Gray, William R. ; Bogovic, John A. ; Vogelstein, Joshua T. ; Landman, Bennett A. ; Prince, Jerry L. ; Vogelstein, R. Jacob
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
fDate :
3/1/2012 12:00:00 AM
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.
Keywords :
biomedical MRI; brain; medical image processing; neurophysiology; pipeline processing; MR connectome automated pipeline; MRCAP; MRI data; connectome estimation; human brain structural connectivity; magnetic resonance connectome automated pipeline; magnetic resonance imaging; Brain models; Magnetic resonance imaging; Pipeline processing; Tensile stress; Algorithms; Brain; Databases, Factual; Diagnostic Techniques, Neurological; Humans; Magnetic Resonance Imaging; Nerve Net;
Journal_Title :
Pulse, IEEE
DOI :
10.1109/MPUL.2011.2181023
