Innovative visualization and segmentation approaches for telemedicine

D. Nguyen; Hans Roehrig; Marisa H. Borders; Kimberly A. Fitzpatrick; Janet Roveda

doi:10.1117/12.2066183

12 September 2014 Innovative visualization and segmentation approaches for telemedicine

D. Nguyen, Hans Roehrig, Marisa H. Borders, Kimberly A. Fitzpatrick, Janet Roveda

Proceedings Volume 9214, Medical Applications of Radiation Detectors IV; 92140F (2014) https://doi.org/10.1117/12.2066183
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

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.

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D. Nguyen, Hans Roehrig, Marisa H. Borders, Kimberly A. Fitzpatrick, and Janet Roveda "Innovative visualization and segmentation approaches for telemedicine", Proc. SPIE 9214, Medical Applications of Radiation Detectors IV, 92140F (12 September 2014); https://doi.org/10.1117/12.2066183

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KEYWORDS

Image segmentation

Visualization

Image processing

Optical filters

Gaussian filters

Data communications

Telemedicine

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