Quantification of the ilio-femoral arteries tortuosity and data cluster modelling for preoperative examination

• Autorzy: Markiewicz, Tomasz , Dziekiewicz, Miroslaw
• Języki publikacji: EN

Abstrakty

EN

Detecting spatial tortuosity and atherosclerotic changes of the ilio-femoral arteries are crucial for planning endovascular access. The aim of this study was to find a reliable quantification procedure of arterial lumen and tortuosity to qualify patients for a suitable endovascular procedure. We conducted computed tomographic angiography in 76 patients. All ilio-femoral segments of the arterial tree were visualized using Osirix Dicom Viewer software to help qualify the patients to one of two groups: with possible or non-recommended vascular access. The same tomograms were then analyzed with image processing algorithms to perform ilio-femoral artery segmentation and quantification. We chose a set of arterial tortuosity and lumen measuring methods, such as the modified Gustafson-Kessel clustering algorithm and Support Vector Machine classifier, to automatically classify arterial-tree regions. The two 2D feature spaces were selected with the modified Gustafson-Kessel clusterization to create a combined model to assign around 2/3 cases to the access groups with high specificity (more than 88%) whereas the remaining patients were selected for re-evaluation. We concluded that the novel modification of the Gustafson-Kessel clustering algorithm is more suitable to the highly inseparable data than commonly used approaches. To identify ilio-femoral access limitations, we recommend more complex decision model. This study confirmed high usability of our chosen methodology in the quantitative examination of arteries for endovascular access planning.

Słowa kluczowe

PL

przetwarzanie obrazu medycznego; tomografia komputerowa; klasteryzacja danych; tętnica biodrowo udowa

EN

medical image processing; computed tomography; data clusterization; arteries tortuosity; ilio femoral artery; vascular access

• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2022
• Tom: Vol. 42, no. 4
• Strony: 1123--1136
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Markiewicz, Tomasz

• Department of the Electrical Engineering Theory, Information and Measurement Systems, Warsaw University of Technology, Warsaw, Poland,
• Department of Pathology, Military Institute of Medicine, Warsaw, Poland

autor

Dziekiewicz, Miroslaw

• Department of Vascular and Endovascular Surgery, Military Institute of Medicine, Warsaw, Poland,

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)

Identyfikatory

DOI

10.1016/j.bbe.2022.09.002