Hospital integrated parallel cluster for fast and cost-efficient image analysis: clinical experience and research evaluation

Stephan G. Erberich; Martin Hoppe; Christian Jansen; Thomas Schmidt; Armin Thron; Walter Oberschelp

doi:10.1117/12.435471

7 August 2001 Hospital integrated parallel cluster for fast and cost-efficient image analysis: clinical experience and research evaluation

Stephan G. Erberich, Martin Hoppe, Christian Jansen, Thomas Schmidt, Armin Thron, Walter Oberschelp

Author Affiliations +

Proceedings Volume 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation; (2001) https://doi.org/10.1117/12.435471
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

In the last few years more and more University Hospitals as well as private hospitals changed to digital information systems for patient record, diagnostic files and digital images. Not only that patient management becomes easier, it is also very remarkable how clinical research can profit from Picture Archiving and Communication Systems (PACS) and diagnostic databases, especially from image databases. Since images are available on the finger tip, difficulties arise when image data needs to be processed, e.g. segmented, classified or co-registered, which usually demands a lot computational power. Today's clinical environment does support PACS very well, but real image processing is still under-developed. The purpose of this paper is to introduce a parallel cluster of standard distributed systems and its software components and how such a system can be integrated into a hospital environment. To demonstrate the cluster technique we present our clinical experience with the crucial but cost-intensive motion correction of clinical routine and research functional MRI (fMRI) data, as it is processed in our Lab on a daily basis.

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Stephan G. Erberich, Martin Hoppe, Christian Jansen, Thomas Schmidt, Armin Thron, and Walter Oberschelp "Hospital integrated parallel cluster for fast and cost-efficient image analysis: clinical experience and research evaluation", Proc. SPIE 4323, Medical Imaging 2001: PACS and Integrated Medical Information Systems: Design and Evaluation, (7 August 2001); https://doi.org/10.1117/12.435471

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KEYWORDS

Image processing

Functional magnetic resonance imaging

Picture Archiving and Communication System

Clinical research

Magnetic resonance imaging

Diagnostics

Databases

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