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Thermal imaging is emerging as a valuable diagnostic modality in medical applications, offering non-invasive assessment of physiological conditions through temperature mapping. However, the lack of standardized data formats and comprehensive software tools has severely limited clinical adoption and research reproducibility. Here we present MedThermal-DICOM, the first open-source Python framework that provides full compliance with the Digital Imaging and Communications in Medicine (DICOM) standard for thermal imaging. The framework preserves thermal-specific metadata through private extensions, ensures quantitative fidelity via Real World Value Mapping (RWVM), and integrates seamlessly with Picture Archiving and Communication Systems (PACS) and existing clinical workflows. Validation across three public datasets demonstrated syntactic and semantic compliance, quantitative accuracy better than 0.01 ℃, and interoperability with both PACS and RWVM-aware software. By enabling standards-compliant thermal imaging with complete metadata preservation, MedThermal-DICOM provides the technical foundation for reproducible research, multi-center studies, and eventual clinical deployment. The framework is freely available under an open-source license to promote widespread adoption and collaborative development.

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MedThermal-DICOM: An Open-Source DICOM-Compliant Framework for Medical Thermal Imaging Enabling Clinical Integration and Research Reproducibility

  • 会议论文

  • 发表日期：

    2026年

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  • Bharath Govindaraju,
  • Siva Teja Kakileti,
  • Ronak Dedhiya,
  • Geetha Manjunath

摘要

Thermal imaging is emerging as a valuable diagnostic modality in medical applications, offering non-invasive assessment of physiological conditions through temperature mapping. However, the lack of standardized data formats and comprehensive software tools has severely limited clinical adoption and research reproducibility. Here we present MedThermal-DICOM, the first open-source Python framework that provides full compliance with the Digital Imaging and Communications in Medicine (DICOM) standard for thermal imaging. The framework preserves thermal-specific metadata through private extensions, ensures quantitative fidelity via Real World Value Mapping (RWVM), and integrates seamlessly with Picture Archiving and Communication Systems (PACS) and existing clinical workflows. Validation across three public datasets demonstrated syntactic and semantic compliance, quantitative accuracy better than 0.01 ℃, and interoperability with both PACS and RWVM-aware software. By enabling standards-compliant thermal imaging with complete metadata preservation, MedThermal-DICOM provides the technical foundation for reproducible research, multi-center studies, and eventual clinical deployment. The framework is freely available under an open-source license to promote widespread adoption and collaborative development.