Guided Visualization of Ultrasound Image Sequences

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.

[1]  Penny Rheingans,et al.  Illustration-inspired techniques for visualizing time-varying data , 2005, VIS 05. IEEE Visualization, 2005..

[2]  Rolf Kern,et al.  Multiplanar transcranial ultrasound imaging: standards, landmarks and correlation with magnetic resonance imaging. , 2005, Ultrasound in medicine & biology.

[3]  Penny Rheingans,et al.  Illustration-inspired techniques for visualizing time-varying data , 2005 .

[4]  Han-Wei Shen,et al.  Chronovolumes: a direct rendering technique for visualizing time-varying data , 2003 .

[5]  Yohan Payan,et al.  Intensity-based registration of freehand 3D ultrasound and CT-scan images of the kidney , 2007, International Journal of Computer Assisted Radiology and Surgery.

[6]  Dieter Hönigmann,et al.  Adaptive design of a global opacity transfer function for direct volume rendering of ultrasound data , 2003, IEEE Visualization, 2003. VIS 2003..

[7]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[8]  Georgios Sakas,et al.  Preprocessing and volume rendering of 3D ultrasonic data , 1995, IEEE Computer Graphics and Applications.

[9]  Helwig Hauser,et al.  Interactive Volume Visualization of Complex Flow Semantics , 2003, VMV.

[10]  Min Chen,et al.  Visual Signatures in Video Visualization , 2006, IEEE Transactions on Visualization and Computer Graphics.

[11]  Ivan Viola,et al.  Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization , 2007, EuroVis.

[12]  Serge Beucher,et al.  Watershed, Hierarchical Segmentation and Waterfall Algorithm , 1994, ISMM.

[13]  M. Eduard Gröller,et al.  Two-level volume rendering — fusing MIP and DVR , 2000 .

[14]  Ivan Viola,et al.  Ultrasound for Multimodal Data Interpretation of Liver Examinations , 2008 .

[15]  Helwig Hauser,et al.  Smooth Brushing for Focus+Context Visualization of Simulation Data in 3D , 2002, WSCG.

[16]  Keith D. Paulsen,et al.  Graphical user interface for intraoperative neuroimage updating , 2003, SPIE Medical Imaging.

[17]  Helwig Hauser,et al.  Outlier-Preserving Focus+Context Visualization in Parallel Coordinates , 2006, IEEE Transactions on Visualization and Computer Graphics.

[18]  J. Nosher,et al.  Non-rigid Registration of the Liver in Consecutive CT Studies for Assessment of Tumor Response to Radiofrequency Ablation , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Markus Hadwiger,et al.  Real time computation and temporal coherence of opacity transfer functions for direct volume rendering of ultrasound data. , 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[20]  Dorin Comaniciu,et al.  Automatic Cardiac View Classification of Echocardiogram , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[21]  Joe Michael Kniss,et al.  Multidimensional Transfer Functions for Interactive Volume Rendering , 2002, IEEE Trans. Vis. Comput. Graph..

[22]  Mateu Sbert,et al.  Importance-Driven Focus of Attention , 2006, IEEE Transactions on Visualization and Computer Graphics.

[23]  Ryutarou Ohbuchi,et al.  Merging virtual objects with the real world: seeing ultrasound imagery within the patient , 1992, SIGGRAPH.

[24]  Helwig Hauser,et al.  Generalizing Focus+Context Visualization , 2006 .

[25]  Keith Paulsen,et al.  Coregistered intraoperative ultrasonography in resection of malignant glioma. , 2003, Neurosurgical focus.

[26]  Christof Rezk Salama.  Visual Parameters and Transfer Functions , 2009 .