Jini service to reconstruct tomographic data

Peter Knoll; S. Mirzaei; K. Koriska; H. Koehn

doi:10.1117/12.472943

Translator Disclaimer

25 June 2002 Jini service to reconstruct tomographic data

Peter Knoll, S. Mirzaei, K. Koriska, H. Koehn

Author Affiliations +

Proceedings Volume 4863, Java/Jini Technologies and High-Performance Pervasive Computing; (2002) https://doi.org/10.1117/12.472943
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States

Abstract

A number of imaging systems rely on the reconstruction of a 3- dimensional model from its projections through the process of computed tomography (CT). In medical imaging, for example magnetic resonance imaging (MRI), positron emission tomography (PET), and Single Computer Tomography (SPECT) acquire two-dimensional projections of a three dimensional projections of a three dimensional object. In order to calculate the 3-dimensional representation of the object, i.e. its voxel distribution, several reconstruction algorithms have been developed. Currently, mainly two reconstruct use: the filtered back projection(FBP) and iterative methods. Although the quality of iterative reconstructed SPECT slices is better than that of FBP slices, such iterative algorithms are rarely used for clinical routine studies because of their low availability and increased reconstruction time. We used Jini and a self-developed iterative reconstructions algorithm to design and implement a Jini reconstruction service. With this service, the physician selects the patient study from a database and a Jini client automatically discovers the registered Jini reconstruction services in the department's Intranet. After downloading the proxy object the this Jini service, the SPECT acquisition data are reconstructed. The resulting transaxial slices are visualized using a Jini slice viewer, which can be used for various imaging modalities.

Citation Download Citation

Peter Knoll, S. Mirzaei, K. Koriska, and H. Koehn "Jini service to reconstruct tomographic data", Proc. SPIE 4863, Java/Jini Technologies and High-Performance Pervasive Computing, (25 June 2002); https://doi.org/10.1117/12.472943

ACCESS THE FULL ARTICLE