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, X-ray CT scans, magnetic resonance imaging (MRI), positron emission tomography (PET), and Single Photon Emission Computer Tomography (SPECT) acquire two-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 reconstruction methods are in 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 reconstruction 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 to 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.
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