Radiographic image is the key electronic evidence in judicial expertise of medical disputes, and its integrity directly affects the objectivity and legal effect of the appraisal conclusion. However, there are risks such as tampering, loss and incomplete metadata in data collection, transmission and storage. Therefore, a framework for integrity verification of radiation image data is constructed. The framework integrates content-aware hybrid hash based on SHA-256 and SM3, adaptive DCT domain digital watermarking and blockchain storage based on Hyperledger Fabric to realize collaborative verification of image content, DICOM metadata, timestamp and operation log. The framework focuses on technical integrity verification, source traceability and evidence review support, rather than replacing formal judicial admissibility determination. The experiment is based on 500 sets of real DICOM data, and the results show that the tamper detection rate is 98.5% under complex attacks; When the JPEG compression quality factor Q = 60, the normalized correlation coefficient is 0.968; The average peak signal-to-noise ratio is higher than 48.5 dB. The comprehensive reliability index is highly consistent with the expert evaluation, and the accuracy rate of effective electronic evidence recognition is 96%. This framework improves the credibility and traceability of image evidence, and provides technical support for standardized management and intelligent verification of medical electronic evidence.
Wu et al. (Sat,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: