Scholarlink

Objective <p>To develop a platform for automated processing of radiological datasets that operates independently of medical information systems. The platform maintains datasets throughout their lifecycle, from data retrieval to annotation and presentation.</p> Methods <p>The platform employs a modular structure in which modules can operate independently or in conjunction. Each module sequentially processes output from the preceding module. The platform incorporates a local database containing textual study protocols, a radiology information system (RIS), and storage for labeled studies and reports.</p> Results <p>A platform equipped with local permanent and temporary file storages facilitates radiological datasets processing. The platform’s modules enable data search, extraction, anonymization, annotation, generation of annotated files, and standardized documentation of datasets.</p> Conclusion <p>The platform provides a comprehensive workflow for radiological dataset management and is currently operational at the Center for Diagnostics and Telemedicine. Future development will focus on expanding platform functionality.</p>

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Radiological data processing system: lifecycle management and annotation

  • 期刊论文

  • 发表日期：

    2025年6月20日

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  • Tatiana Bobrovskaya,
  • Yuriy Vasilev,
  • Anton Vladzymyrskyy,
  • Olga Omelyanskaya,
  • Pavel Kosov,
  • Evgeniya Krylova,
  • Artem Ponomarenko,
  • Tikhon Burtsev,
  • Ekaterina Savkina,
  • Maria Kodenko,
  • Svyatoslav Kasimov,
  • Konstantin Medvedev,
  • Anna Kovalchuk,
  • Viktoria Zinchenko,
  • Denis Rumyantsev,
  • Veronika Kazarinova,
  • Serafim Semenov,
  • Kirill Arzamasov

摘要

Objective

To develop a platform for automated processing of radiological datasets that operates independently of medical information systems. The platform maintains datasets throughout their lifecycle, from data retrieval to annotation and presentation.

Methods

The platform employs a modular structure in which modules can operate independently or in conjunction. Each module sequentially processes output from the preceding module. The platform incorporates a local database containing textual study protocols, a radiology information system (RIS), and storage for labeled studies and reports.

Results

A platform equipped with local permanent and temporary file storages facilitates radiological datasets processing. The platform’s modules enable data search, extraction, anonymization, annotation, generation of annotated files, and standardized documentation of datasets.

Conclusion

The platform provides a comprehensive workflow for radiological dataset management and is currently operational at the Center for Diagnostics and Telemedicine. Future development will focus on expanding platform functionality.