Performance analysis of algorithms for retrieval of magnetic resonance images for interactive teleradiology

M. Stella Atkins; Robert Hwang; Simon Tang

doi:10.1117/12.428114

28 May 2001 Performance analysis of algorithms for retrieval of magnetic resonance images for interactive teleradiology

M. Stella Atkins, Robert Hwang, Simon Tang

Proceedings Volume 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures; (2001) https://doi.org/10.1117/12.428114
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

We have implemented a prototype system consisting of a Java- based image viewer and a web server extension component for transmitting Magnetic Resonance Images (MRI) to an image viewer, to test the performance of different image retrieval techniques. We used full-resolution images, and images compressed/decompressed using the Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithm. We examined the SPIHT decompression algorithm using both non- progressive and progressive transmission, focusing on the running times of the algorithm, client memory usage and garbage collection. We also compared the Java implementation with a native C++ implementation of the non- progressive SPIHT decompression variant. Our performance measurements showed that for uncompressed image retrieval using a 10Mbps Ethernet, a film of 16 MR images can be retrieved and displayed almost within interactive times. The native C++ code implementation of the client-side decoder is twice as fast as the Java decoder. If the network bandwidth is low, the high communication time for retrieving uncompressed images may be reduced by use of SPIHT-compressed images, although the image quality is then degraded. To provide diagnostic quality images, we also investigated the retrieval of up to 3 images on a MR film at full-resolution, using progressive SPIHT decompression. The Java-based implementation of progressive decompression performed badly, mainly due to the memory requirements for maintaining the image states, and the high cost of execution of the Java garbage collector. Hence, in systems where the bandwidth is high, such as found in a hospital intranet, SPIHT image compression does not provide advantages for image retrieval performance.

Citation Download Citation

M. Stella Atkins, Robert Hwang, and Simon Tang "Performance analysis of algorithms for retrieval of magnetic resonance images for interactive teleradiology", Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); https://doi.org/10.1117/12.428114

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