Two image datasets (one thick section dataset and another volumetric dataset) were typically reconstructed from each single CT projection data. The volumetric dataset was stored in a mini-PACS with 271-gigabyte online and 680-gigabyte nearline storage and routed to radiologists' workstations, while the thick section dataset was stored in the main PACS. Over a five-month sample period, 278-gigabytes of CT data (8,976 examinations) were stored in the main PACS, and 738-gigabytes of volumetric datasets (6,193 examinations) were stored in the mini-PACS. The volumetric datasets formed 32.8% of total data for all modalities (2.20 terabytes) in the main PACS and mini-PACS combined. At the end of this period, the volumetric datasets of 1,892 and 5,162 examinations were kept online and nearline, respectively. Mini-PACS offers an effective method of archiving every volumetric dataset and delivering it to radiologists.
|Number of pages||7|
|Journal||Progress in Biomedical Optics and Imaging - Proceedings of SPIE|
|State||Published - 2005|
|Event||Medical Imaging 2005 - PACS and Imaging Informatics - San Diego, CA, United States|
Duration: 15 Feb 2005 → 17 Feb 2005
- Multi-detector row computed tomography
- Volumetric dataset