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Related Concept Videos

Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
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Related Experiment Video

Updated: May 24, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

LinkedDicom: Indexing DICOM Metadata Using Semantic Web Technologies.

Johan van Soest1,2,3, Ananya Choudhury2, Alessio Romita3

  • 1Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, The Netherlands.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

LinkedDicom efficiently converts Digital Imaging and Communications in Medicine (DICOM) metadata into RDF triples for research. This lightweight Python package offers a flexible, resource-efficient alternative to traditional databases for querying imaging data.

Keywords:
DICOMFAIRLinked DataMedical ImagingRDFSemantic Web

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Related Experiment Videos

Last Updated: May 24, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Medical Informatics
  • Bioinformatics
  • Semantic Web Technologies

Background:

  • Digital Imaging and Communications in Medicine (DICOM) standard offers rich metadata, but archiving systems store limited subsets.
  • Integrating imaging metadata with clinical and experimental data is crucial for research.
  • Existing methods for DICOM metadata management can be resource-intensive.

Purpose of the Study:

  • To develop a lightweight Python package, LinkedDicom, for converting DICOM metadata into Resource Description Framework (RDF) triples.
  • To enable querying of DICOM metadata using Semantic Web technologies.
  • To provide a resource-efficient and flexible solution for research data integration.

Main Methods:

  • Developed LinkedDicom, a Python package for DICOM to RDF conversion.
  • Utilized Semantic Web technologies for metadata querying.
  • Evaluated LinkedDicom on a public head and neck cancer dataset.
  • Compared query performance using SPARQL endpoints and per-patient file storage.

Main Results:

  • LinkedDicom demonstrated efficient and scalable representation of imaging metadata.
  • On-disk storage with selective in-memory analysis proved a flexible alternative to resource-intensive databases.
  • Practical trade-offs between database-driven and on-demand querying were identified.

Conclusions:

  • LinkedDicom enables FAIR-compliant representation of imaging metadata for research.
  • The package offers a practical and resource-efficient approach to DICOM metadata management.
  • LinkedDicom facilitates the integration of imaging data with other research datasets.