Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data
Background. Magnetic resonance imaging (MRI) offers the opportunity to quantify the vessel diameters in vivo. This technique can have a breakthrough impact on the evaluation, risk stratification and therapeutical planning in hemodynamic-related pathologies, e.g., arterial stenosis. However, its appl...
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Igor Sikorsky Kyiv Polytechnic Institute
2020-07-01
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doaj-3f68d183e4b244a88151b32c07564e1b2021-04-02T12:49:57ZengIgor Sikorsky Kyiv Polytechnic InstituteInnovative Biosystems and Bioengineering2616-177X2020-07-014313114210.20535/ibb.2020.4.3.207624207624Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI DataIgor Nesteruk0Sergiy Jr. Pereverzyev1Lukas Mayer2Ruth Steiger3Lukas Kusstatscher4Karl Fritscher5Michael Knoflach6Elke Ruth Gizewski7Igor Sikorsky Kyiv Polytechnic InstituteMedical University of InnsbruckMedical University of InnsbruckMedical University of InnsbruckMedical University of InnsbruckUniversity for Health Sciences, Medical Informatics and TechnologyMedical University of InnsbruckMedical University InnsbruckBackground. Magnetic resonance imaging (MRI) offers the opportunity to quantify the vessel diameters in vivo. This technique can have a breakthrough impact on the evaluation, risk stratification and therapeutical planning in hemodynamic-related pathologies, e.g., arterial stenosis. However, its applicability in clinics is limited due to the complex post-processing required to extract the information and the difficulty to synthesize the obtained data into clinical useful parameters. Objective. In this work, we use the vessel diameter distribution along its central line obtained with the use of MRI technology in order to detect the existence of stenosis in internal carotid arteries (ICA) and vertebral arteries (VA) with the minimal amount of False Negative predictions and to estimate the efficiency of therapy. Methods. Special normalized and smoothed characteristics will be used to develop the stenosis detection criteria which can be used for every artery separately and for both vessels simultaneously. Linear and non-linear characteristics were used to increase the reliability of diagnostics. Study is based on the Receiver Operating Characteristics (ROC) and optimization methods. Real diameter data of 10 patients (80 data sets) were used. Results. To detect stenosis, three different criteria have been proposed, based on the optimal smoothing parameters of vessel diameter distributions and the corresponding threshold values for linear and nonlinear characteristics. The use of the developed criteria allows increasing the reliability of stenosis detection. Conclusions. Different linear, non-linear, smoothed and non-smoothed parameters and ROC were applied to detect stenosis in internal carotid and vertebral arteries. It was shown that smoothed data are necessary for VA and the criterion applicable both for VA and ICA. For ICA it is possible to use initial (unsmoothed) data. Only one False Positive case was detected for every artery. Results of application of proposed criteria are presented, tested and discussed. For VA it is possible to use criteria 1 and 2 and smoothed normalized diameter data. For ICA criterion 2 can be recommended to detect long enough narrowing areas. To detect short zones of stenosis in ICA, the criterion 3 is useful, since it uses the non-smoothed diameter data.http://ibb.kpi.ua/article/view/207624stenosisinternal carotid arteriesvertebral arteriesmagnetic resonance imagingcomputerized angiographyreceiver operating characteristicoptimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Igor Nesteruk Sergiy Jr. Pereverzyev Lukas Mayer Ruth Steiger Lukas Kusstatscher Karl Fritscher Michael Knoflach Elke Ruth Gizewski |
spellingShingle |
Igor Nesteruk Sergiy Jr. Pereverzyev Lukas Mayer Ruth Steiger Lukas Kusstatscher Karl Fritscher Michael Knoflach Elke Ruth Gizewski Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data Innovative Biosystems and Bioengineering stenosis internal carotid arteries vertebral arteries magnetic resonance imaging computerized angiography receiver operating characteristic optimization |
author_facet |
Igor Nesteruk Sergiy Jr. Pereverzyev Lukas Mayer Ruth Steiger Lukas Kusstatscher Karl Fritscher Michael Knoflach Elke Ruth Gizewski |
author_sort |
Igor Nesteruk |
title |
Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data |
title_short |
Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data |
title_full |
Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data |
title_fullStr |
Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data |
title_full_unstemmed |
Stenosis Detection in Internal Carotid and Vertebral Arteries With the Use of Diameters Estimated from MRI Data |
title_sort |
stenosis detection in internal carotid and vertebral arteries with the use of diameters estimated from mri data |
publisher |
Igor Sikorsky Kyiv Polytechnic Institute |
series |
Innovative Biosystems and Bioengineering |
issn |
2616-177X |
publishDate |
2020-07-01 |
description |
Background. Magnetic resonance imaging (MRI) offers the opportunity to quantify the vessel diameters in vivo. This technique can have a breakthrough impact on the evaluation, risk stratification and therapeutical planning in hemodynamic-related pathologies, e.g., arterial stenosis. However, its applicability in clinics is limited due to the complex post-processing required to extract the information and the difficulty to synthesize the obtained data into clinical useful parameters.
Objective. In this work, we use the vessel diameter distribution along its central line obtained with the use of MRI technology in order to detect the existence of stenosis in internal carotid arteries (ICA) and vertebral arteries (VA) with the minimal amount of False Negative predictions and to estimate the efficiency of therapy.
Methods. Special normalized and smoothed characteristics will be used to develop the stenosis detection criteria which can be used for every artery separately and for both vessels simultaneously. Linear and non-linear characteristics were used to increase the reliability of diagnostics. Study is based on the Receiver Operating Characteristics (ROC) and optimization methods. Real diameter data of 10 patients (80 data sets) were used.
Results. To detect stenosis, three different criteria have been proposed, based on the optimal smoothing parameters of vessel diameter distributions and the corresponding threshold values for linear and nonlinear characteristics. The use of the developed criteria allows increasing the reliability of stenosis detection.
Conclusions. Different linear, non-linear, smoothed and non-smoothed parameters and ROC were applied to detect stenosis in internal carotid and vertebral arteries. It was shown that smoothed data are necessary for VA and the criterion applicable both for VA and ICA. For ICA it is possible to use initial (unsmoothed) data. Only one False Positive case was detected for every artery. Results of application of proposed criteria are presented, tested and discussed. For VA it is possible to use criteria 1 and 2 and smoothed normalized diameter data. For ICA criterion 2 can be recommended to detect long enough narrowing areas. To detect short zones of stenosis in ICA, the criterion 3 is useful, since it uses the non-smoothed diameter data. |
topic |
stenosis internal carotid arteries vertebral arteries magnetic resonance imaging computerized angiography receiver operating characteristic optimization |
url |
http://ibb.kpi.ua/article/view/207624 |
work_keys_str_mv |
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