Removal of extracerebral tissues in dual-echo magnetic resonance images via linear scale-space features
作者： J. Suckling , M.J. Brammer , A. Lingford-Hughes , E.T. Bullmore
DOI: 10.1016/S0730-725X(98)00099-X
关键词:
摘要: The location and masking of the brain surrounding cerebrospinal fluid (CSF) in two-dimensional (2D) dual-echo fast spin-echo (FSE) magnetic resonance (MR) images head is achieved by an automated procedure with a voxel-based computational algorithm. Linear scale-space features are derived from short-echo, proton-density (PD)-weighted images. second-order Gaussian derivative (the Laplacian) operator applied at three different spatial scales as measure image convexity/concavity first-order squared gradient) single scale used to circumscribe cortical regions. A mask obtained long-echo, T2-weighted remove extracerebral components visual system. three-dimensional (3D) connectivity analysis then identifies largest connected volume brain. Five acquired repeated scanning same normal volunteer were verify reproducibility; coronal axial acquisitions another demonstrate method's robustness data collected non-cubic voxels. Images five individuals Alzheimer's disease also presented show that algorithm can be cases non-normative anatomy. Validity affirmed demonstrating cerebral volumes estimated this method for all 12 highly correlated (R = 0.98) estimates expert human operator.
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