Progressive Visualization of Losslessly Compressed DICOM Files Over the Internet

Authors:
Denis Obrul;Yongkui Liu;Borut Žalik
Affiliations:
Faculty of Electrical Engineering and Computer Science, Laboratory for Geometric Modeling and Multimedia Algorithms, University of Maribor, Maribor, Slovenia SI-2000;College of Computer Science and Engineering, Dalian Nationalities University, Dalian, China 116600;Faculty of Electrical Engineering and Computer Science, Laboratory for Geometric Modeling and Multimedia Algorithms, University of Maribor, Maribor, Slovenia SI-2000
Venue:
Journal of Medical Systems
Year:
2012

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Abstract

Presented in this paper is a method for progressive transfer and visualization of losslessly compressed DICOM files. The files from the same study are considered as a volumetric object, which is progressively compressed using a quadtree-based method. The textual information of the DICOM file is compressed using a predicting scheme. Decompression and visualization are implemented with Java applet technology. Users can display and interact with the object even during the data transfer. Tests have shown that an object can be recognized up to 70% faster than with the classical approaches.