Paper
20 April 2000 Method of interactive specification of interested regions via a volume-rendered image with application to virtualized endoscope system
Kensaku Mori, Yoshitake Higuchi, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa, Kazuhiro Katada
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Abstract
This paper proposes a method to specify interested regions including points, lines, surfaces and mass regions through a volume rendered image,directly and interactively, and its application to virtual endoscopy system. Measurement function is one of the most important functions in the virtual endoscopy. We should specify a target region on the virtual endoscopic image for measurements. It is hard to specify target regions on the organ wall in a volume rendered image, since the organ is not explicitly segmented from an input image when observed using the volume rendering. The proposed method enables the user to specify interested regions directly by analyzing change of accumulated opacity along a casting ray. When the user specify a point on a volume rendered image, we cast a ray that passes through a specified point of an image plane from a viewpoint. We considered the position that has the highest accumulated opacity as the three-dimensional position of the specified point. Line and surface regions are obtained by iterating the point specification method. A mass region is obtained by finding the interval on the ray where the opacity is greater than zero. We have implemented those specifying methods to our virtual endoscopy system. The result showed that we could specify points, lines, surfaces and mass regions on volume rendered images.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kensaku Mori, Yoshitake Higuchi, Yasuhito Suenaga, Jun-ichiro Toriwaki, Jun-ichi Hasegawa, and Kazuhiro Katada "Method of interactive specification of interested regions via a volume-rendered image with application to virtualized endoscope system", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383392
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Endoscopy

Opacity

Volume rendering

3D image processing

Image segmentation

Image visualization

Natural surfaces

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