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Development of a Toolbox for Systematic Optimization of Angiography : Creation of RDSR - SUMMARY software package ; Utveckling av ett digitalt verktyg för systematisk optimering av angiografi

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Název: Development of a Toolbox for Systematic Optimization of Angiography : Creation of RDSR - SUMMARY software package ; Utveckling av ett digitalt verktyg för systematisk optimering av angiografi
Autoři: Beckman, Philip
Informace o vydavateli: Umeå universitet, Institutionen för fysik
Rok vydání: 2025
Sbírka: Umeå University: Publications (DiVA)
Témata: Angiography, DICOM, RDSR, Analysis, Toolbox, Python, Interventional Radiology, Software Engineering, Programvaruteknik, Information Systems, Systemvetenskap, informationssystem och informatik, Other Physics Topics, Annan fysik, Medical Informatics Engineering, Medicinteknisk informatik, Radiology and Medical Imaging, Radiologi och bildbehandling, Medical Informatics, Medicinsk informatik
Popis: Digital Imaging and Communications in Medicine (DICOM) is the global standard for managing electronic medical information regarding patients, medical images and dosimetric data. However, DICOM is limited. It does not include information on radiation from examinations. Radiation Dose Structured Reports (RDSR) are needed, they are a complement to the DICOM standard and contain a complete list and sum of all patient radiation exposures, per examination, medical imaging, and interventional procedure. This thesis study has the goal of creating a non-propietary software-based toolbox capable of analysing DICOM and RDSR data from SIEMENS angiography systems. The project objectives were summarised into five parts: Data collection; Development of Python script to load DICOM-RDSR files; Development of analytical toolbox to work on DICOM-RDSR files; Propose a design for a standardised report template and discussion with clinical staff to verify that the work is clinically reliable. Example data were collected over the last three years from an angiography system, ARTIS Pheno, SIEMENS Healthineers, ANG45 interventional suit located in the interventional radiology department in Huddinge. The data collected contained 96 276 radiation exposures. A Python script to convert DICOM-RDSR files to .json or .csv, for easier file management, was developed in unison with a Python script for analysis of converted data. A standardised report template was designed in Excel to visualise and present the results of the analytical script to clinical staff. The developed toolbox was then applied to several use cases. Among these; the first involved comparing the practices of two interventional angiography departments in terms of how they collimated the radiation field during procedures to minimise patient dose; the second use case was to map the dose-area-product contribution per acquisition protocol for one angiography department. The analytical toolbox, called RDSR-Analytic, proved to be both reliable and useful in calculating the cumulative ...
Druh dokumentu: bachelor thesis
Popis souboru: application/pdf
Jazyk: English
Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245807
Rights: info:eu-repo/semantics/openAccess
Přístupové číslo: edsbas.EA9CC45C
Databáze: BASE
Popis
Abstrakt:Digital Imaging and Communications in Medicine (DICOM) is the global standard for managing electronic medical information regarding patients, medical images and dosimetric data. However, DICOM is limited. It does not include information on radiation from examinations. Radiation Dose Structured Reports (RDSR) are needed, they are a complement to the DICOM standard and contain a complete list and sum of all patient radiation exposures, per examination, medical imaging, and interventional procedure. This thesis study has the goal of creating a non-propietary software-based toolbox capable of analysing DICOM and RDSR data from SIEMENS angiography systems. The project objectives were summarised into five parts: Data collection; Development of Python script to load DICOM-RDSR files; Development of analytical toolbox to work on DICOM-RDSR files; Propose a design for a standardised report template and discussion with clinical staff to verify that the work is clinically reliable. Example data were collected over the last three years from an angiography system, ARTIS Pheno, SIEMENS Healthineers, ANG45 interventional suit located in the interventional radiology department in Huddinge. The data collected contained 96 276 radiation exposures. A Python script to convert DICOM-RDSR files to .json or .csv, for easier file management, was developed in unison with a Python script for analysis of converted data. A standardised report template was designed in Excel to visualise and present the results of the analytical script to clinical staff. The developed toolbox was then applied to several use cases. Among these; the first involved comparing the practices of two interventional angiography departments in terms of how they collimated the radiation field during procedures to minimise patient dose; the second use case was to map the dose-area-product contribution per acquisition protocol for one angiography department. The analytical toolbox, called RDSR-Analytic, proved to be both reliable and useful in calculating the cumulative ...