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Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007; 10th International C Nicholas Ayache,Sébastien Ourselin,Anthony M

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Quantification of Measurement Error in DTI: Theoretical Predictions and Validatione these simulation results against appropriate in-vivo images. The predicted values of the systematic and random error caused by imaging noise are essential both for interpreting the results of statistical analysis and for selecting optimal imaging protocols given scan time limitations.
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In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imagingfetal motion. Once aligned, the diffusion images are treated as irregularly sampled data where each voxel is associated with an appropriately rotated diffusion direction, and used to estimate the diffusion tensor on a regular grid. The method has been tested successful on eight fetuses and has been validated on adults imaged at 1.5T.
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Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Fil been employed to filter out of the backscattered RF-signal from a tissue harmonic image which is not degraded by harmonic leakage. Measurements on the filtered image have shown a significant (up to 45 %) increase in contrast between cancer masses and benign tissue.
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Image Guidance of Intracardiac Ultrasound with Fusion of Pre-operative Imagesguidance provided by this technique may increase the ablation accuracy and reduce the amount of time for the electrophysiology procedures. We show successful image registration results from animal experiments.
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