Department of Radiology, Thomas Jefferson University Hospital, Main Bldg, 132 S 10th St, Ste 1099H, Philadelphia, PA 19107, USA.
AJR Am J Roentgenol. 2013 Jan;200(1):142-5. doi: 10.2214/AJR.12.8501.
The purpose of this study was to extract exposure parameters and dose-relevant indexes of CT examinations from information embedded in DICOM metadata.
DICOM dose report files were identified and retrieved from a PACS. An automated software program was used to extract from these files information from the structured elements in the DICOM metadata relevant to exposure. Extracting information from DICOM metadata eliminated potential errors inherent in techniques based on optical character recognition, yielding 100% accuracy.
本研究旨在从 DICOM 元数据中提取 CT 检查的暴露参数和剂量相关指标。
从 PACS 中识别并检索 DICOM 剂量报告文件。使用自动化软件程序从这些文件中提取与曝光相关的 DICOM 元数据结构元素中的信息。从 DICOM 元数据中提取信息消除了基于光学字符识别技术固有的潜在错误，准确率达到 100%。
