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Proceedings Paper

Innovative visualization and segmentation approaches for telemedicine
Author(s): D. Nguyen; Hans Roehrig; Marisa H. Borders; Kimberly A. Fitzpatrick; Janet Roveda
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Paper Abstract

In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.

Paper Details

Date Published: 12 September 2014
PDF: 8 pages
Proc. SPIE 9214, Medical Applications of Radiation Detectors IV, 92140F (12 September 2014); doi: 10.1117/12.2066183
Show Author Affiliations
D. Nguyen, The Univ. of Arizona (United States)
Hans Roehrig, The Univ. of Arizona (United States)
Marisa H. Borders, The Univ. of Arizona (United States)
UA Medical Ctr. Breash Imaging Ctr. (United States)
Kimberly A. Fitzpatrick, The Univ. of Arizona (United States)
UA Medical Ctr. Breash Imaging Ctr. (United States)
Janet Roveda, The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 9214:
Medical Applications of Radiation Detectors IV
H. Bradford Barber; Lars R. Furenlid; Hans N. Roehrig, Editor(s)

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