Medical image desensitization and cleaning method based on DICOM
A medical image desensitization technology, applied in the field of medical image processing, can solve problems such as non-conformity to standards, single desensitization method, unreadable or repeated data, etc., to improve quality and applicable range, protect privacy and security, and retain usability Effect
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Embodiment 1
[0036] Specifically include the following steps:
[0037] S10: Examining the original CT medical image data of the DICOM standard for approval.
[0038] S20: Complete the data desensitization of the original data set according to the formulated desensitization strategy. The data related to patient privacy in medical images is desensitized according to the desensitization strategy, and the patient ID is desensitized using a symmetric encryption algorithm.
[0039] The specific implementation of the desensitization strategy is as follows:
[0040] (1) Patient ID is the unique identifier of the patient, which can be used to confirm the identity of the patient. Consider using a reversible desensitization algorithm for encryption. The present invention adopts a symmetric encryption algorithm including a key, and uses the key to encrypt and decrypt the Patient ID. The encrypted image can be used by a third party, and the real information of the patient will not be exposed during ...
Embodiment 2
[0053] Specifically include the following steps:
[0054] S10: to DICOM standard CT medical image raw data (such as figure 2 shown) for approval review.
[0055] S20: Complete the data desensitization of the original data set according to the formulated desensitization strategy. The data related to patient privacy in medical images is desensitized according to the desensitization strategy, and the patient ID is desensitized using a symmetric encryption algorithm.
[0056] The desensitization strategy means that the Patient ID in DICOM-based medical images is processed with a recoverable symmetric encryption algorithm, and the rest of the data is desensitized using methods such as invalidation and numerical transformation.
[0057] The result after desensitization treatment is shown in the figure image 3 shown.
[0058] S30: Desensitize the Patient ID of the desensitized medical image, so as to determine the true identity of the patient, use it to assist in data cleaning,...
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