| Literature DB >> 15924274 |
Kyoung Ho Lee1, Hak Jong Lee, Jae Hyoung Kim, Heung Sik Kang, Kyung Won Lee, Helen Hong, Ho Jun Chin, Kyoo Seob Ha.
Abstract
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-Gb online and 680-Gb nearline storage and routed to radiologists' workstations, whereas the thick section dataset was stored in the main PACS. Over a 5-month sample period, 278 Gb of CT data (8976 examinations) was stored in the main PACS, and 738 Gb of volumetric datasets (6193 examinations) was stored in the mini-PACS. The volumetric datasets formed 32.8% of total data for all modalities (2.20 Tb) in the main PACS and mini-PACS combined. At the end of this period, the volumetric datasets of 1892 and 5162 examinations were kept online and nearline, respectively. Mini-PACS offers an effective method of archiving every volumetric dataset and delivering it to radiologists.Mesh:
Year: 2005 PMID: 15924274 PMCID: PMC3046710 DOI: 10.1007/s10278-005-5163-z
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056