Modeling and objectification of blood vessel calcification with using of multiregional segmentation
| Autor: | Marek Penhaker, Iveta Bryjova, Jan Kubicek, Jan Valosek, Vladimir Kasik, Martin Cerny, Martin Augustynek, David Oczka |
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| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
Computer science Context (language use) 030204 cardiovascular system & hematology lcsh:QA75.5-76.95 03 medical and health sciences 0302 clinical medicine Blood vessels medicine Segmentation Vascular calcification Image segmentation lcsh:T58.5-58.64 medicine.diagnostic_test lcsh:Information technology medicine.disease Calcium score medicine.anatomical_structure CT angiography Angiography lcsh:Electronic computers. Computer science Radiology Tomography 030217 neurology & neurosurgery Blood vessel Calcification |
| Zdroj: | Vietnam Journal of Computer Science, Vol 5, Iss 3-4, Pp 279-289 (2018) |
| ISSN: | 2196-8896 2196-8888 |
| Popis: | In a clinical practice of the angiography, the blood vessel analysis is substantially important mainly in a sense of an objectification and modeling of the pathological spots such as the blood vessel calcifications. An amount of the calcification is commonly just estimated by naked eyes; therefore, the automatic modeling may be beneficial in a context of an extraction of the blood vessel features well representing a level of the blood vessel deterioration. In this work, we have proposed a fully automatic software environment (BloodVessCalc) for processing the blood vessel images acquired by the CT (computer tomography). The main function of the SW is the multiregional image segmentation allowing for an extraction of the physiological blood vessel location from the calcification spots. This model offers the calcium score calculation in a form of amount of the calcification. In the last part of our analysis, the predictive intervals of the average value and median for calcium score are calculated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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