Automatic Ascending Aorta Detection in CTA Datasets
نویسندگان
چکیده
The assessment of coronary arteries is an essential step when diagnosing coronary heart diseases. There exists a wide range of specialized algorithms for the segmentation of the coronary arteries in Computed Tomography Angiography datasets. In general, these algorithms have to be initialized by manually placing a seed point at the origins of the coronary arteries or within the ascending aorta. In this paper we present a fast and robust algorithm for the automatic detection of the ascending aorta in Computed Tomography Angiography datasets using a two-level threshold ray propagation approach. We further combine this method with an aorta segmentation and coronary artery tree detection algorithm to achieve a fully automatic coronary artery segmentation.
منابع مشابه
Diagnostic performance of focused cardiac ultrasound performed by emergency physicians for the assessment of ascending aorta dilatation and aneurysm
Patients and methods This was a prospective single-centre cohort study of a convenience sample of patients that underwent CTA in the emergency department for suspected aortic pathology. FOCUS was performed before CTA and the maximum ascending aorta diameter measured in parasternal longaxis view. Diagnostic accuracy of FOCUS for detection of aortic dilation (diameter ≥40 mm) and aneurysm (diamet...
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OBJECTIVES The diagnostic performance of transthoracic focused cardiac ultrasound (FoCUS) performed by emergency physicians (EP) to estimate ascending aorta dimensions in the acute setting has not been prospectively studied. The diagnostic accuracy and the interobserver variability of EP-performed FoCUS were investigated to estimate thoracic aortic dilation and aneurysm compared with the result...
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