A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel Text

Jacob A. Macdonald1, Kenneth Morgan1, Brandon Konkel1, Kulsoom Abdullah1, Mark A. Martin1, Cory Ennis2, Joseph Y. Lo1, Marissa Stroo3, Denise C. Snyder3, Mustafa R. Bashir4
1Department of Radiology, Duke University, Durham, NC, USA
2School of Medicine, Duke University, Durham, NC, USA
3Duke Office of Clinical Research, Duke University, Durham, NC, USA
4Center for Advanced Magnetic Resonance Development, Duke University, Durham, NC, USA

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Mildenberger P, Eichelberg M, Martin E: Introduction to the DICOM standard. Eur Radiol 12:920–927, 2002.

Bidgood WD, Horii SC, Prior FW, Van Syckle DE: Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging. J Am Med Informatics Assoc 4:199–21, 1997.

Natu P, Natu S, Agrawal U: Privacy issues in medical image analysis. Data Protection and Privacy in Healthcare, Boca Raton, FL: CRC press, 2021.

Nass S, Levit L, Gostin L: HIPAA, the Privacy Rule, and Its Application to Health Research. Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, Washington, D.C.: National Academies Press, 2009.

Aryanto KYE, Oudkerk M, van Ooijen PMA: Free DICOM de-identification tools in clinical research: functioning and safety of patient privacy. Eur Radiol 25:3685–3695, 2015.

RSNA. MIRC CTP. Available at https://mircwiki.rsna.org/index.php?title=MIRC_CTP. Accessed 20 February 2024.

DICOM Library. Available at https://www.dicomlibrary.com/. Accessed 20 February 2024.

Robinson JD: Beyond the DICOM header: additional issues in deidentification. Am J Roentgenol 203:W658–W664, 2014.

Osagie E, Ayo-Ogbor S: Challenges in the Design of Optical Character Recognition for Medical Image Modalities. Int J Multidiscip Curr Educ Res 4:109–112, 2022.

Monteiro E, Costa C, Oliveira JL: A De-Identification Pipeline for Ultrasound Medical Images in DICOM Format. J Med Syst. Journal of Medical Systems 41:1–16, 2017.

Zhu Y, Singh PD, Siddiqui K, Gillam M: An automatic system to detect and extract texts in medical images for de-identification. Med Imaging. https://doi.org/10.1117/12.855588, March 11, 2010.

Mason D. pydicom. Available at https://github.com/pydicom/pydicom. Accessed 27 December 2021.

Morales F. keras-ocr. Available at https://github.com/faustomorales/keras-ocr. Accessed 1 May 2023.

Baek Y, Lee B, Han D, Yun S, Lee H: Character Region Awareness for Text Detection. arXiv. https://doi.org/10.48550/arXiv.1904.01941, April 3, 2019.

JaidedAI. EasyOCR. Available at https://github.com/JaidedAI/EasyOCR. Accessed 9 October 2023.

Hoffstaetter S. pytesseract. Available at https://github.com/madmaze/pytesseract. Accessed 9 October 2023.