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Related Concept Videos

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Computed Tomography

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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.
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Related Experiment Videos

Validating DICOM content in a remote storage model.

Pattanasak Mongkolwat1, Pankit Bhalodia, James A Gehl

  • 1Department of Radiology, Northwestern University, 448 E. Ontario St. Suite 300, Chicago, IL 60611, USA.

Journal of Digital Imaging
|January 13, 2005
PubMed
Summary
This summary is machine-generated.

Verifying DICOM file integrity during transfers is crucial. This study developed a system to compare DICOM studies from different archives, finding minor data mismatches that highlight the need for systematic validation.

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Area of Science:

  • Medical Imaging Informatics
  • Data Integrity in Healthcare
  • Picture Archiving and Communication Systems (PACS)

Background:

  • Ensuring the integrity of Digital Imaging and Communications in Medicine (DICOM) files during transmission between diverse storage systems is paramount for reliable medical data management.
  • Existing methods for verifying DICOM data transfers may not be sufficiently robust, potentially leading to data corruption or loss.
  • The increasing complexity of healthcare IT infrastructure necessitates advanced tools for data validation.

Purpose of the Study:

  • To develop and evaluate a software application for verifying the integrity of DICOM files transferred between separate archiving systems.
  • To compare DICOM data elements and pixel data for accuracy and consistency between a primary PACS and an off-site archive.
  • To identify and record any discrepancies found during the DICOM transfer validation process.

Main Methods:

  • A software system was developed, incorporating a query/retrieve (Q/R) module, storage service class provider (SCP), DICOM comparison module, and a graphical user interface.
  • The system retrieved specified DICOM studies from two distinct storage applications: a primary PACS and an off-site long-term archive.
  • DICOM 3.0 compliance was checked, followed by a detailed comparison of DICOM data elements and pixel data for identity, with discrepancies logged.

Main Results:

  • Testing on 7500 DICOM studies revealed 2 pixel data mismatches (resolved upon retransmission) and 831 header element mismatches.
  • A subsequent test on 1000 studies found no pixel data mismatches but 958 header element mismatches.
  • While significant data loss was not observed in this limited sample, the frequency of header mismatches underscores potential risks.

Conclusions:

  • Ongoing, automatic, and systematic validation of DICOM transfers is vital for proactive prevention of data loss.
  • The developed software provides a valuable tool for ensuring DICOM data integrity across different storage solutions.
  • Regular data validation is essential to maintain the reliability and trustworthiness of medical imaging archives.