Computer Tools to Analyze Lung CT Changes after Radiotherapy
Source abstract
Abstract
The paper describes a computer tool dedicated to the comprehensive analysis of lung changes in computed tomography (CT) images. The correlation between the dose delivered during radiotherapy and pulmonary fibrosis is offered as an example analysis. The input data, in DICOM (Digital Imaging and Communications in Medicine) format, is provided from CT images and dose distribution models of patients. The CT images are processed using convolution neural networks, and next, the selected slices go through the segmentation and registration algorithms. The results of the analysis are visualized in graphical format and also in numerical parameters calculated based on the images analysis.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Radiotherapy Techniques · Advanced X-ray and CT Imaging · Medical Imaging Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electroradiology, Poznan University of Medical Sciences, 61-701 Poznań, Poland
Radiation Oncology Department IV, Greater Poland Cancer Centre, 61-866 Poznań, Poland
Institute of Computing Science, Poznan University of Technology, 60-965 Poznań, Poland
Radiation Oncology Department I, Greater Poland Cancer Centre, 61-866 Poznań, Poland
Funding
Politechnika Poznańska
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