Imperial College London


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BibTex format

author = {Heckemann, RA and Ledig, C and Gray, KR and Aljabar, P and Rueckert, D and Hajnal, JV and Hammers, A},
doi = {10.1371/journal.pone.0129211},
journal = {PLOS One},
title = {Brain Extraction Using Label Propagation and Group Agreement: Pincram},
url = {},
volume = {10},
year = {2015}

RIS format (EndNote, RefMan)

AB - Accurately delineating the brain on magnetic resonance (MR) images of the head is a prerequisitefor many neuroimaging methods. Most existing methods exhibit disadvantages inthat they are laborious, yield inconsistent results, and/or require training data to closelymatch the data to be processed. Here, we present pincram, an automatic, versatile methodfor accurately labelling the adult brain on T1-weighted 3D MR head images. The methoduses an iterative refinement approach to propagate labels from multiple atlases to a giventarget image using image registration. At each refinement level, a consensus label is generated.At the subsequent level, the search for the brain boundary is constrained to the neighbourhoodof the boundary of this consensus label. The method achieves high accuracy(Jaccard coefficient > 0.95 on typical data, corresponding to a Dice similarity coefficient of >0.97) and performs better than many state-of-the-art methods as evidenced by independentevaluation on the Segmentation Validation Engine. Via a novel self-monitoring feature, theprogram generates the "success index," a scalar metadatum indicative of the accuracy ofthe output label. Pincram is available as open source software.
AU - Heckemann,RA
AU - Ledig,C
AU - Gray,KR
AU - Aljabar,P
AU - Rueckert,D
AU - Hajnal,JV
AU - Hammers,A
DO - 10.1371/journal.pone.0129211
PY - 2015///
SN - 1932-6203
TI - Brain Extraction Using Label Propagation and Group Agreement: Pincram
T2 - PLOS One
UR -
UR -
VL - 10
ER -