Comput Methods Programs Biomed - MARGA: multispectral adaptive region growing algorithm for brain extraction on axial MRI.

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Resumo

Brain extraction, also known as skull stripping, is one of the most important preprocessing steps for many automatic brain image analysis. In this paper we present a new approach called Multispectral Adaptive Region Growing Algorithm (MARGA) to perform the skull stripping process. MARGA is based on a region growing (RG) algorithm which uses the complementary information provided by conventional magnetic resonance images (MRI) such as T1-weighted and T2-weighted to perform the brain segmentation. MARGA can be seen as an extension of the skull stripping method proposed by Park and Lee (2009) [1], enabling their use in both axial views and low quality images. Following the same idea, we first obtain seed regions that are then spread using a 2D RG algorithm which behaves differently in specific zones of the brain. This adaptation allows to deal with the fact that middle MRI slices have better image contrast between the brain and non-brain regions than superior and inferior brain slices where the contrast is smaller. MARGA is validated using three different databases: 10 simulated brains from the BrainWeb database; 2 data sets from the National Alliance for Medical Image Computing (NAMIC) database, the first one consisting in 10 normal brains and 10 brains of schizophrenic patients acquired with a 3T GE scanner, and the second one consisting in 5 brains from lupus patients acquired with a 3T Siemens scanner; and 10 brains of multiple sclerosis patients acquired with a 1.5T scanner. We have qualitatively and quantitatively compared MARGA with the well-known Brain Extraction Tool (BET), Brain Surface Extractor (BSE) and Statistical Parametric Mapping (SPM) approaches. The obtained results demonstrate the validity of MARGA, outperforming the results of those standard techniques.

Resumo Limpo

brain extract also known skull strip one import preprocess step mani automat brain imag analysi paper present new approach call multispectr adapt region grow algorithm marga perform skull strip process marga base region grow rg algorithm use complementari inform provid convent magnet reson imag mri tweight tweight perform brain segment marga can seen extens skull strip method propos park lee enabl use axial view low qualiti imag follow idea first obtain seed region spread use d rg algorithm behav differ specif zone brain adapt allow deal fact middl mri slice better imag contrast brain nonbrain region superior inferior brain slice contrast smaller marga valid use three differ databas simul brain brainweb databas data set nation allianc medic imag comput namic databas first one consist normal brain brain schizophren patient acquir t ge scanner second one consist brain lupus patient acquir t siemen scanner brain multipl sclerosi patient acquir t scanner qualit quantit compar marga wellknown brain extract tool bet brain surfac extractor bse statist parametr map spm approach obtain result demonstr valid marga outperform result standard techniqu

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