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Proceedings Paper

Software architecture for live enhancement of medical images
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Paper Abstract

Minimally-invasive interventions are an important domain of medical real-time imaging modalities. Image processing algorithms that enhance interventional images run within hard real-time and latency constraints due to the required hand-eye coordination of physicians which perform the intervention. To support research activities, we present a flexible software architecture that allows to transfer image enhancement algorithms from research to clinical validation. The software architecture especially pays regard to multimodality interventional scenarios where an intervention runs in close succession to the acquisition of diagnostic data. Including the additional information of such diagnostic acquisitions enables content-based image enhancement. The proposed software architecture administers threads for a graphical user interface, data acquisition, offline preparation of diagnostic data, and the context-based real-time enhancement itself. Using this architecture, it is possible to run arbitrary complex content-based image analysis in real-time with only 9% computational overhead during the latency introducing algorithm run time. The proposed architecture is exemplified with an application for navigation support in cardiac CathLab interventions where diagnostic exposure acquisitions and interventional fluoroscopy can alternate in close succession.

Paper Details

Date Published: 18 May 2004
PDF: 12 pages
Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); doi: 10.1117/12.527348
Show Author Affiliations
Jorg Bredno, Philips Research Labs. (Germany)
Barbara Martin-Leung, Philips Research Labs. (Germany)
Univ. of Lubeck (Germany)
Kai Eck, Philips Research Labs. (Germany)

Published in SPIE Proceedings Vol. 5297:
Real-Time Imaging VIII
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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