Hierarchical storage of large volume of multidector CT data using distributed servers

Osman Ratib M.D.; Antoine Rosset; Joris Heuberger; David Bandon

doi:10.1117/12.654616

16 March 2006 Hierarchical storage of large volume of multidector CT data using distributed servers

Osman Ratib M.D., Antoine Rosset, Joris Heuberger, David Bandon

Proceedings Volume 6145, Medical Imaging 2006: PACS and Imaging Informatics; 61450W (2006) https://doi.org/10.1117/12.654616
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Multidector scanners and hybrid multimodality scanners have the ability to generate large number of high-resolution images resulting in very large data sets. In most cases, these datasets are generated for the sole purpose of generating secondary processed images and 3D rendered images as well as oblique and curved multiplanar reformatted images. It is therefore not essential to archive the original images after they have been processed. We have developed an architecture of distributed archive servers for temporary storage of large image datasets for 3D rendering and image processing without the need for long term storage in PACS archive. With the relatively low cost of storage devices it is possible to configure these servers to hold several months or even years of data, long enough for allowing subsequent re-processing if required by specific clinical situations. We tested the latest generation of RAID servers provided by Apple computers with a capacity of 5 TBytes. We implemented a peer-to-peer data access software based on our Open-Source image management software called OsiriX, allowing remote workstations to directly access DICOM image files located on the server through a new technology called "bonjour". This architecture offers a seamless integration of multiple servers and workstations without the need for central database or complex workflow management tools. It allows efficient access to image data from multiple workstation for image analysis and visualization without the need for image data transfer. It provides a convenient alternative to centralized PACS architecture while avoiding complex and time-consuming data transfer and storage.

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Osman Ratib M.D., Antoine Rosset, Joris Heuberger, and David Bandon "Hierarchical storage of large volume of multidector CT data using distributed servers", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450W (16 March 2006); https://doi.org/10.1117/12.654616

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KEYWORDS

Image processing

Picture Archiving and Communication System

3D image processing

Image resolution

Computed tomography

Data storage

Data storage servers

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