Titlebook: Biomedical Image Registration; 6th International Wo Sébastien Ourselin,Marc Modat Conference proceedings 2014 Springer International Publis

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https://doi.org/10.1007/978-1-349-27063-7cell growth in lungs is of great importance. The main challenges inherently linked with such data analysis are: local contrast changes related to tissue depth, lack of clear object boundaries due to the presence of noise, and cluttering with motion artefacts due to translational shift of the specime

ANT

Labour Worldwide in the Era of Globalizationor large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixel

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978-3-319-08553-1Springer International Publishing Switzerland 2014

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Fast, Simple, Accurate Multi-atlas Segmentation of the Brainom volumetric T1-weighted MRI images. A fully automatic multi-atlas registration based segmentation approach is used to label novel data. We use a standard affine registration method combined with a small deformation (non-diffeomorphic), non-linear registration method which optimises mutual informat