Fundamentals of digital image processing
Fundamentals of digital image processing
Merging virtual objects with the real world: seeing ultrasound imagery within the patient
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Visualization and Computer Graphics
Multidimensional Transfer Functions for Interactive Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Preprocessing and Volume Rendering of 3D Ultrasonic Data
IEEE Computer Graphics and Applications
Chronovolumes: a direct rendering technique for visualizing time-varying data
VG '03 Proceedings of the 2003 Eurographics/IEEE TVCG Workshop on Volume graphics
Adaptive Design of a Global Opacity Transfer Function for Direct Volume Rendering of Ultrasound Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
Visual Signatures in Video Visualization
IEEE Transactions on Visualization and Computer Graphics
Illustrated ultrasound for multimodal data interpretation of liver examinations
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
Feature emphasis and contextual cutaways for multimodal medical visualization
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Visual Analytics for model-based medical image segmentation: Opportunities and challenges
Expert Systems with Applications: An International Journal
Opening up the "black box" of medical image segmentation with statistical shape models
The Visual Computer: International Journal of Computer Graphics
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Ultrasonography allows informative and expressive real time examinations of patients. Findings are usually reported as printouts, screen shots and video sequences. However, in certain scenarios, the amount of imaged ultrasound data is considerable or it is challenging to detect the anatomical features of interest. Post-examination access to the information present in the data is, therefore, cumbersome. The examiner must, in fact, review entire video sequences or risk to lose relevant information by reducing the examination to single screen shot and printouts. In this paper we propose a novel post-processing pipeline for guided visual exploration of ultrasound video sequences, to allow easier and richer exploration and analysis of the data. We demonstrate the usefulness of this approach by applying it to a liver examination case, showing easier and quicker ultrasound image selection and data exploration.