Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Proposal for DICOM multiframe medical image integrity and authenticity.

Luiz O M Kobayashi¹, Sergio S Furuie

¹Heart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil. luiz.kobayashi@incor.usp.br

Journal of Digital Imaging

|February 13, 2008

Summary

This study introduces a new algorithm for securing multiframe DICOM medical images using encryption and digital signatures, ensuring data integrity and authenticity. The method enhances DICOM security for complex medical imaging datasets.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Time of Flight Transmission Mode Ultrasound Computed Tomography With Expected Gradient and Boundary Optimization.

IEEE transactions on bio-medical engineering·2025

Same author

Objective color calibration for manufacturing facial prostheses.

Journal of biomedical optics·2021

Same author

Guidewire path determination for intravascular applications.

Computer methods in biomechanics and biomedical engineering·2015

Same author

Compression of high-density EMG signals for trapezius and gastrocnemius muscles.

Biomedical engineering online·2014

Same author

Edge-preserving speckle texture removal by interference-based speckle filtering followed by anisotropic diffusion.

Ultrasound in medicine & biology·2012

Same author

Evaluation of plaque composition by intravascular ultrasound "virtual histology": the impact of dense calcium on the measurement of necrotic tissue.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology·2010

Area of Science:

Medical Imaging
Information Security
Computer Science

Background:

Current Digital Imaging and Communications in Medicine (DICOM) security measures have limitations, particularly for multiframe images.
Enhancing the integrity and authenticity of medical image data is crucial for secure clinical workflows.

Purpose of the Study:

To develop and evaluate a novel algorithm for securing multiframe DICOM images.
To improve the integrity and authenticity verification of medical images using cryptographic techniques.

Main Methods:

A novel algorithm employing data encryption and digital signatures for multiframe DICOM image security.
A cascading encryption scheme where each frame is secured using data from preceding frames.
Implementation in JAVA with performance evaluation against existing methods.

More Related Videos

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Related Experiment Videos

Last Updated: Jul 7, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Main Results:

The proposed algorithm successfully ensures the integrity and authenticity of multiframe DICOM images.
Performance evaluation demonstrated good efficiency compared to existing approaches.
The method allows for verification of both image data and input parameters for secure retrieval.

Conclusions:

The developed algorithm offers a viable solution for enhancing DICOM security, especially for multiframe images.
The positive performance results encourage real-world implementation in medical environments.
The cryptographic approach provides robust data integrity and authenticity verification.