DocumentCode :
185476
Title :
Transit time estimations from coronary angiograms
Author :
Tache, Irina-Andra ; Itu, Lucian ; Niculescu, Rodica
Author_Institution :
Autom. & Syst. Eng. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2014
fDate :
17-19 Oct. 2014
Firstpage :
897
Lastpage :
902
Abstract :
This X-ray angiography is the current gold standard for morphology based diagnosis of coronary arteries due to their spatial and temporal resolution. Transit time methods are applied on coronary angiograms to estimate the interval of time required for the contrast material to traverse the distance between two regions of interest. They represent an important prerequisite for estimating blood flow parameters like velocity or flow rate which characterize the hemodynamic patterns of blood vessels. In this article we perform an analysis of ten different transit time estimation methods on routine clinical angiographic data acquired at the Clinical Emergency Hospital of Bucharest by using the time density curves. Different coronary arteries are considered and the analysis is performed on raw data, filtered data and fitted data. The most robust methods are the mean transit time, the mean arrival time and the cross correlation method. Furthermore, the mean transit time and the cross correlation method tend to underestimate, while the rise time method tends to overestimate the transit time. Automated filtering and fitting methods improve the results significantly and should always be used in conjunction with transit time estimation methods.
Keywords :
blood vessels; correlation methods; diagnostic radiography; haemodynamics; image filtering; image resolution; medical image processing; time series; Bucharest; Clinical Emergency Hospital; X-ray angiography; automated filtering methods; blood flow parameters estimation; blood vessels; coronary angiograms; coronary arteries; cross correlation method; fitting methods; hemodynamic patterns; mean arrival time; mean transit time; medical image processing; morphology based diagnosis; rise time method; routine clinical angiographic data; spatial resolution; temporal resolution; time density curves; time series; transit time estimation methods; Arteries; Biomedical imaging; Blood flow; Correlation; Estimation; Filtering; Fitting; medical image processing; time series; transit time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2014 18th International Conference
Conference_Location :
Sinaia
Type :
conf
DOI :
10.1109/ICSTCC.2014.6982533
Filename :
6982533
Link To Document :
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