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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...

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Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
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An open source toolkit for medical imaging de-identification.

David Rodríguez González1, Trevor Carpenter, Jano I van Hemert

  • 1National e-Science Centre, School of Informatics, University of Edinburgh, Edinburgh, UK. david.rodriguez@ed.ac.uk

European Radiology
|March 6, 2010
PubMed
Summary
This summary is machine-generated.

A new toolkit effectively anonymizes medical imaging data (DICOM) for research, ensuring privacy while maintaining data utility. This flexible solution is designed for multicenter trials, simplifying data sharing and policy enforcement.

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Area of Science:

  • Medical Imaging
  • Health Informatics
  • Data Privacy

Background:

  • Clinical medical images have research and teaching value.
  • Existing anonymization methods for DICOM data are not universally accepted due to variable data needs.
  • A flexible solution is required for multicenter trials.

Purpose of the Study:

  • To develop a flexible mechanism for anonymizing Digital Imaging and Communications in Medicine (DICOM) data.
  • To meet the requirements for deploying anonymization in multicenter research settings.

Main Methods:

  • Reviewed current de-identification practices and defined use cases.
  • Extracted requirements for the de-identification process.
  • Designed, implemented, and tested a toolkit based on these requirements, including multicenter deployment.

Main Results:

  • The toolkit successfully anonymized DICOM data from diverse sources.
  • Demonstrated capabilities in forwarding anonymous data, removing burned-in annotations, and adding header tracking information.
  • Implemented the DICOM standard confidentiality mechanism.

Conclusions:

  • Developed a DICOM de-identification toolkit that aids in enforcing privacy policies.
  • The toolkit is highly extensible and flexible, accommodating varied de-identification needs.
  • Offers a low barrier to adoption for new users.