Real-time super resolution contextual close-up of clinical volumetric data

Authors:
T. Taerum;M. C. Sousa;F. Samavati;S. Chan;J. R. Mitchell
Affiliations:
Departments of Computer Science, University of Calgary, Canada;Departments of Computer Science, University of Calgary, Canada;Departments of Computer Science, University of Calgary, Canada;Departments of Computer Science, University of Calgary and Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Canada;Departments of Computer Science and Departments of Radiology and Departments of Clinical Neurosciences, University of Calgary, Canada
Venue:
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Year:
2006

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Abstract

We present an illustrative visualization system for real-time and high quality rendering of clinical volumetric medical data. Our technique is inspired by a medical illustration technique for depicting contextual close-up views of selected regions of interest where internal anatomical features are rendered in high detail. Our method integrates four important components: decimation of original volume for interactivity, B-spline subdivision for super-resolution rendering, fast gradient quantization technique for feature extraction and GPU fragment shaders for gradient dependent rendering and transfer functions. Examples with clinical CT and MRI data demonstrate the capabilities of our system.