A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study - Summary - MDSpire
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A Comprehensive Pixel-Based Approach for the Automated Labeling and Analysis of Computed Tomography Series: A Proof-of-Concept Investigation

  • By

  • Yutong Wen

  • Anton Sheahan Quinsten

  • Cynthia Sabrina Schmidt

  • Christian Bojahr

  • Judith Kohnke

  • Kamyar Arzideh

  • Sina Warmer

  • Sebastian Blex

  • Ann-Christin Jacoby

  • Max Eberts

  • Hanna Lehmann

  • Olivia Barbara Pollok

  • Mathias Holtkamp

  • Luca Salhöfer

  • Lale Umutlu

  • Michael Forsting

  • Johannes Haubold

  • Felix Nensa

  • Katarzyna Borys

  • René Hosch

  • September 29, 2026

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Objective:

To develop a pixel-based approach for the automated labeling and analysis of CT series, addressing the limitations of current DICOM metadata reliance.

Approach:
  • Pixel-Based Methodology: The study proposes a pixel-based methodology to enhance the automated selection and routing of CT image series for AI applications.
Key Findings:
  • Current DICOM metadata is often incomplete or ambiguous, hindering automated routing of CT images.
  • Inconsistent metadata entries across institutions lead to challenges in accurately characterizing series content.
  • The proposed pixel-based approach aims to improve the identification of relevant image series for AI tasks.
Limitations:
  • The study is a proof-of-concept and may require further validation in clinical settings.
  • The pixel-based approach's effectiveness in diverse clinical environments remains to be tested.

Original Source(s)

A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study

  • by Yutong Wen, Anton Sheahan Quinsten, Cynthia Sabrina Schmidt, Christian Bojahr, Judith Kohnke, Kamyar Arzideh, Sina Warmer, Sebastian Blex, Ann-Christin Jacoby, Max Eberts, Hanna Lehmann, Olivia Barbara Pollok, Mathias Holtkamp, Luca Salhöfer, Lale Umutlu, Michael Forsting, Johannes Haubold, Felix Nensa, Katarzyna Borys, René Hosch

  • September 29, 2026

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