Computer Tools to Analyze Lung CT Changes after Radiotherapy
| Autor: | Konrad Śniatała, Paweł Śniatała, Szymon Wilk, Beata Baczyńska, Piotr Milecki, Marek Konkol |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer tools
Computer science medicine.medical_treatment ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computed tomography Dose distribution lcsh:Technology 030218 nuclear medicine & medical imaging Convolution lcsh:Chemistry 03 medical and health sciences DICOM 0302 clinical medicine medicine General Materials Science Computer vision Segmentation Instrumentation lcsh:QH301-705.5 radiotherapy Fluid Flow and Transfer Processes Artificial neural network medicine.diagnostic_test pulmonary fibrosis business.industry lcsh:T Process Chemistry and Technology General Engineering lcsh:QC1-999 Computer Science Applications Radiation therapy lung cancer lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 030220 oncology & carcinogenesis Artificial intelligence business lcsh:Engineering (General). Civil engineering (General) CNN lcsh:Physics CT images |
| Zdroj: | Applied Sciences, Vol 11, Iss 1582, p 1582 (2021) Applied Sciences Volume 11 Issue 4 |
| ISSN: | 2076-3417 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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