Managing the CT data explosion: Initial experiences of archiving volumetric datasets in a mini-PACS

Kyoung H. Lee, Helen Hong, Hak J. Lee, Jae H. Kim, Heung S. Kang, Sang Tae Kim, Ho J. Chin, Kyoo S. Ha

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number5748-53
Pages (from-to)427-433
Number of pages7
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
StatePublished - 2005
EventMedical Imaging 2005 - PACS and Imaging Informatics - San Diego, CA, United States
Duration: 15 Feb 200517 Feb 2005


  • Mini-PACS
  • Multi-detector row computed tomography
  • Volumetric dataset


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