Platform-independent software for medical image processing on the Internet

Michael E. Mancuso; Sayan Dev Pathak; Yongmin Kim

doi:10.1117/12.273970

7 May 1997 Platform-independent software for medical image processing on the Internet

Michael E. Mancuso, Sayan Dev Pathak, Yongmin Kim

Proceedings Volume 3031, Medical Imaging 1997: Image Display; (1997) https://doi.org/10.1117/12.273970
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

We have developed a software tool for image processing over the Internet. The tool is a general purpose, easy to use, flexible, platform independent image processing software package with functions most commonly used in medical image processing.It provides for processing of medical images located wither remotely on the Internet or locally. The software was written in Java - the new programming language developed by Sun Microsystems. It was compiled and tested using Microsoft's Visual Java 1.0 and Microsoft's Just in Time Compiler 1.00.6211. The software is simple and easy to use. In order to use the tool, the user needs to download the software from our site before he/she runs it using any Java interpreter, such as those supplied by Sun, Symantec, Borland or Microsoft. Future versions of the operating systems supplied by Sun, Microsoft, Apple, IBM, and others will include Java interpreters. The software is then able to access and process any image on the iNternet or on the local computer. Using a 512 X 512 X 8-bit image, a 3 X 3 convolution took 0.88 seconds on an Intel Pentium Pro PC running at 200 MHz with 64 Mbytes of memory. A window/level operation took 0.38 seconds while a 3 X 3 median filter took 0.71 seconds. These performance numbers demonstrate the feasibility of using this software interactively on desktop computes. Our software tool supports various image processing techniques commonly used in medical image processing and can run without the need of any specialized hardware. It can become an easily accessible resource over the Internet to promote the learning and of understanding image processing algorithms. Also, it could facilitate sharing of medical image databases and collaboration amongst researchers and clinicians, regardless of location.

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Michael E. Mancuso, Sayan Dev Pathak, and Yongmin Kim "Platform-independent software for medical image processing on the Internet", Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); https://doi.org/10.1117/12.273970

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KEYWORDS

Image processing

Medical imaging

Java

Internet

Image filtering

Image segmentation

Nonlinear filtering

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