Ultrasound painting of liver vascular tree

Å Birkeland, Ivan Viola

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In treatment planning and surgical interventions, physicians and surgeons need information about the spatial extent of specific features and the surrounding structures. Previous techniques for extracting features, based on magnetic resonance imaging and computed tomography scans, can be slow and cumbersome and are rarely used by doctors. In this paper we will present a novel approach to extract features from tracked 2D ultrasound, in particular hypo-echoic regions such as blood vessels. Features are extracted during live examinations, removing the need for slow and cumbersome post-scan processes and interaction is based on the natural interaction techniques used by doctors during the examination. The ultrasound probe is utilized as a 3D brush, painting features in a 3D environment. The painting occurs during a regular examination, producing little extra interaction from the doctor. We will introduce a novel approach to extract hypo-echoic regions from an ultrasound image and track the regions from frame to frame. 3D models are then generated by storing the outline of the region as a 3D point cloud. Automatically detecting branching, this technique can handle complex structures, such as liver vessel trees, and track multiple regions simultaneously. During the examination, the point cloud is triangulated in real-time, enabling the doctor to examine the results live and discard areas which are unsatisfactory. To enable modifications of the extracted 3D models, we present how the ultrasound probe can be used as a interaction tool for fast point cloud editing.

Original languageEnglish (US)
Title of host publicationVMV 2010 - Vision, Modeling and Visualization
Pages163-170
Number of pages8
StatePublished - Dec 1 2010
Event15th International Workshop on Vision, Modeling and Visualization, VMV 2010 - Siegen, Germany
Duration: Nov 15 2010Nov 17 2010

Publication series

NameVMV 2010 - Vision, Modeling and Visualization

Other

Other15th International Workshop on Vision, Modeling and Visualization, VMV 2010
CountryGermany
CitySiegen
Period11/15/1011/17/10

Keywords

  • Biomedical and medical visualization
  • Data segmentation
  • Feature detection and tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Modeling and Simulation

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