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Updated: May 8, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
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Visual Interpretation with Three-Dimensional Annotations (VITA): three-dimensional image interpretation tool for

Sharmili Roy1, Michael S Brown, George L Shih

  • 1Department of Computer Science, School of Computing, National University of Singapore, Computing 1, 13 Computing Drive, Singapore, 117417, Singapore, sharmili@comp.nus.edu.sg.

Journal of Digital Imaging
|August 28, 2013
PubMed
Summary
This summary is machine-generated.

Visual Interpretation with Three-Dimensional Annotations (VITA) software creates 3D visual summaries from radiological annotations. These summaries enhance clinical communication and patient understanding of medical imaging reports.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Software Development

Background:

  • Radiological reporting often lacks effective visualization of complex findings.
  • Communicating 3D anatomical information from 2D reports can be challenging for clinicians and patients.
  • Existing systems may not seamlessly integrate annotation visualization into reporting workflows.

Purpose of the Study:

  • To introduce Visual Interpretation with Three-Dimensional Annotations (VITA), a software framework for generating 3D visual summaries.
  • To improve the contextual understanding of radiological annotations by presenting them in a 3D format.
  • To facilitate seamless integration of 3D summaries into existing Picture Archiving and Communication System (PACS) workflows.

Main Methods:

  • Development of the VITA software framework to process radiological annotations.
  • Automatic generation of rotating 3D volumes highlighting annotations.
  • Outputting summaries as Digital Imaging and Communications in Medicine (DICOM) objects for PACS archival.
  • Option to generate video summaries (e.g., MPEG4) for broader accessibility.
  • Ensuring compatibility with PACS workstations supporting structured annotation formats.

Main Results:

  • VITA successfully generates 3D visual summaries from radiological annotations.
  • Summaries are archived as DICOM objects within PACS.
  • Video summaries can be created for non-DICOM viewer scenarios.
  • The VITA framework integrates into existing reporting workflows.
  • Referring physicians reported significant improvement in report communication and patient interaction.

Conclusions:

  • VITA provides an effective method for creating 3D visual summaries of radiological findings.
  • The software enhances communication between radiologists, referring physicians, and patients.
  • VITA's integration capabilities and output formats support widespread adoption in clinical practice.