CSE, IIT Kharagpur, Kharagpur, India.
Tata Medical Center, Kolkata, India.
J Med Syst. 2020 Apr 2;44(5):99. doi: 10.1007/s10916-020-01563-0.
We propose a de-identification system which runs in a standalone mode. The system takes care of the de-identification of radiation oncology patient's clinical and annotated imaging data including RTSTRUCT, RTPLAN, and RTDOSE. The clinical data consists of diagnosis, stages, outcome, and treatment information of the patient. The imaging data could be the diagnostic, therapy planning, and verification images. Archival of the longitudinal radiation oncology verification images like cone beam CT scans along with the initial imaging and clinical data are preserved in the process. During the de-identification, the system keeps the reference of original data identity in encrypted form. These could be useful for the re-identification if necessary.
我们提出了一种独立运行的去识别系统。该系统负责对放射肿瘤学患者的临床和标注成像数据进行去识别，包括 RTSTRUCT、RTPLAN 和 RTDOSE。临床数据包括患者的诊断、分期、结果和治疗信息。成像数据可以是诊断、治疗计划和验证图像。在该过程中，会保存纵向放射肿瘤学验证图像（如锥形束 CT 扫描）以及初始成像和临床数据的档案。在去识别过程中，系统以加密形式保留原始数据身份的参考。如果有必要，这些信息可用于重新识别。
