Titlebook: Information Processing in Medical Imaging; 17th International C Michael F. Insana,Richard M. Leahy Conference proceedings 2001 Springer-Ver

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Conference proceedings 2001ical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.

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Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasoundusing a minimal amount of human intervention. With a more accurate prior model, this technique has the possibility to completely automate the process of compensating for intraoperative deformation in image-guided surgery.

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Robust Multimodal Image Registration Using Local Frequency Representationsunknown transformation) source and target data. The primary advantage of our algorithm is its ability to cope with large non-overlapping fields of view of the two data sets being registered, a common occurrence in practise. We present implementation results for misalignments between CT and MR brain scans.

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The Active Elastic Modelat contain information regarding both the expected magnitude and the expected variability of the deformation to be estimated. We test this model on the problem of left ventricular deformation estimation, and present ideas for its application in image registration and brain deformation during neurosurgery.

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