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Updated: Feb 11, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
Unified segmentation
John Ashburner1, Karl J Friston
1Wellcome Department of Imaging Neuroscience, 12 Queen Square, London, WC1N 3BG, UK. john@fil.ion.ucl.ac.uk
Abstract:
A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function.
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