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Updated: Jul 12, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
Published on: October 27, 2023
Enhancing Interoperability and Harmonisation of Nuclear Medicine Image Data and Associated Clinical Data
Timo Fuchs1,2, Lena Kaiser3, Dominik Müller4,5
1Medical Data Integration Center (MEDIZUKR), University Hospital Regensburg, Regensburg, Germany.
This review explores nuclear medicine imaging data interoperability and harmonization. It discusses standards and methods to prepare data for artificial intelligence applications, aiming to improve consistency and usability in clinical practice.
Area of Science:
- Nuclear Medicine
- Medical Imaging
- Radiology
Background:
- Positron emission tomography (PET) and single photon emission computed tomography (SPECT), often combined with computed tomography (CT), are vital clinical imaging tools, especially in oncology.
- Heterogeneous datasets arise from diverse manufacturers, protocols, workflows, and software, hindering data integration and analysis.
- Interoperability and data harmonization are critical challenges in nuclear medicine imaging.
Conclusions:
- Standardization and harmonization are essential for improving the quality and consistency of nuclear medicine imaging data.
- Implementing standardized approaches facilitates data sharing, multi-center studies, and the development of AI tools.
- Future trends indicate a growing role for AI in nuclear medicine, necessitating robust data infrastructure.
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