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Fast Contextual View Generation in 3D Medical Images Using a 3D Widget User Interface and Super-Ellipsoids

  • Ken Lagos
  • Tim McInerneyEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11845)

Abstract

This paper presents a 3D widget user interface (UI), super-ellipsoid shape primitives and a customized volume rendering algorithm that together create an effective system for generating contextual views in 3D medical images. The widget UI supports the fast and precise positioning of a super-ellipsoid “paint blob”. The paint blob can be deposited and automatically blended with previously deposited blobs to form an arbitrarily complex-shaped region of interest (ROI) enclosing target image features. The rendering of these “focus” regions can be controlled separately from the surrounding contextual region, allowing medical experts to examine and measure image features relative to the surrounding structures, regardless of the level of occlusion. The system’s core algorithms execute in parallel on graphics processing units, resulting in real-time interaction and high-quality visualizations. The focus plus context visualization system is validated via a user study and a series of experiments.

Keywords

Visualization 3D medical images User interface 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceRyerson UniversityTorontoCanada

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