Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; 4th International Wo Cristina Oyarzun Laura,Raj Shekhar,Marius

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CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis anof tools for medical image data analysis, preprocessing, segmentation and blood flow simulation. In this paper we describe the work flow necessary to perform such tasks as well its implementation in CRIMSON based on multiple well-established open-source libraries, such as MITK and OpenCASCADE. We sh

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Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Realitoughout image-guided neurosurgery in the context of tumour resections. Preliminary results in a study of 3 patients demonstrate the successful combination of the two technologies as well as improved accuracy of the patient-specific models throughout the surgery. The augmented reality visualizations

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Efficient and Extensible Workflow: Reliable Whole Brain Segmentation for Large-Scale, Multi-center omprehensive application is needed to move neuroimaging data into clinical research discoveries in a way that maximizes collected data utilization and minimizes the development costs. We introduce ., a Nipype based open source MRI analysis application distributed with BRAINSTools suite (.). This wor

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Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Momber of samples from the epithelial cell layer and stroma must be collected and analyzed manually to estimate the potential evolution and stage of the disease. In this study, we propose a novel method for automatic classification of tumor epithelium and stroma in digitized tissue microarrays. To this