Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; Third International Marius George Linguraru,Cristina Oyarzun L

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Newfoundland and Labrador Diasporaa weight to each landmark point according to its appearance confidence, thus deforming the shape to reliable positions. In the application of optic pathway segmentation, the mean of root mean squared symmetric surface distance is 0.59 mm, which is about one voxel size.

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Conclusion and Policy Suggestions, the multiple phases are aligned to the MPR view and the clinician is able to review the multiple phases simultaneously. Our experiments indicate that the analysis time of multi-phase coronary CTA data can be reduced to less than 30 % of the currently required time using our method.

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Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy,

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Applying an Active Contour Model for Pre-operative Planning of Transapical Aortic Valve Replacement

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Clinical Image-Based Procedures. Translational Research in Medical ImagingThird International

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An Open Source Multimodal Image-Guided Prostate Biopsy Framework,on at low cost simultaneously. We introduce an open source fusion biopsy framework that is low cost, simple to use and has minimal overhead in clinical workflow. Hence, it is ideal as a research platform for the implementation and rapid bench to bedside translation of new image registration and visu

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Data-Driven Learning to Detect Characteristic Kinetics in Ultrasound Images of Arthritis, the basis signals, estimating the coefficients via a LASSO algorithm. With this representation, we were able to characterize each pathology through a small number of predominant kinetics..By using sparse representation of CEUS signals and data-driven dictionary learning techniques we were able to d

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COSMO - Coupled Shape Model for Radiation Therapy Planning of Head and Neck Cancer,he model adaptation algorithm succeeds. A first evaluation showed an average directed Hausdorff distance of 13.22 mm and an average DICE overlap of 0.62. Furthermore, we review some of the challenges we encountered during the course of building our model from image data, taken from actual radiation

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