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Guided Visualization of Ultrasound Image Sequences

Paolo Angelelli, Ivan Viola, Kim Nylund, Odd Helge Gilja, Helwig Hauser

INPROCEEDINGS, Proceedings of Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 2010

Abstract

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.

Published

Proceedings of Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)

  • Pages: 125–132
  • Location: Leipzig, Germany
  • Project: IllustraSound, MedViz, Illustrative Visualization

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BibTeX

@inproceedings{angelelli10guided,
  title = "Guided Visualization of Ultrasound Image Sequences",
  author = "Paolo Angelelli and Ivan Viola and Kim Nylund and Odd Helge Gilja and Helwig Hauser",
  year = "2010",
  booktitle = {Proceedings of Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)},
  abstract = {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.},
  pages = {125--132}, 
  location = {Leipzig, Germany},


}






 Last Modified: Jean-Paul Balabanian, 2014-04-09