Paper
19 March 2014 OsiriX plugin for integrated cardiac imaging research
Markus Hüllebrand, Anja Hennemuth, Daniel Messroghli, Titus Kühne
Author Affiliations +
Abstract
Strongly evolving imaging technologies such as magnetic resonance imaging (MRI) nowadays provide a multitude of new complementary techniques for the analysis of cardiovascular tissue properties, function, and hemodynamics. The purpose of the presented work is to provide a research tool, which enables a quick validation of newly developed imaging techniques and supports the co-development of clinically usable analysis tools, which allow an integration with existing complementary examination methods. The concepts combined to this end consist of an integration with the open source research PACS OsiriX, an advanced heuristic DICOM classification and preprocessing as well as an integrative data model, which accumulates patient-specific image data, results and the data relations. Specific processing and analysis plugins can easily be integrated in such a way that they use the data integration and visualization infrastructure as well as results from other existing plugins. The presented example applications, such as the evaluation of slice orientations for cardiac function quantification or the integrated analysis of different types of image data for diagnosis of myocarditis show that the provided tool can be successfully used for a multitude of research applications in cardiovascular imaging.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Markus Hüllebrand, Anja Hennemuth, Daniel Messroghli, and Titus Kühne "OsiriX plugin for integrated cardiac imaging research", Proc. SPIE 9039, Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, 90390D (19 March 2014); https://doi.org/10.1117/12.2043735
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Data modeling

Image segmentation

Visualization

Heart

Image processing

Analytical research

Image analysis

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