Abstract
In this paper, we propose an analytical rapid method to estimate the endocardial borders of the left ventricular walls on echocardiographic images for prospective clinical integration. The procedure was created as a diagnostic support tool for the clinician and it is based on the use of the anisotropic generalized Hough transform. Its application is guided by a Gabor-like filtering for the approximate delimitation of the region of interest without the need for computing further anatomical characteristics. The algorithm is applying directly a deformable template on the predetermined filtered region and therefore it is responsive and straightforward implementable. For accuracy considerations, we have employed a support vector machine classifier to determine the confidence level of the automated marking. The clinical tests were performed at the Cardiology Clinic of the County Emergency Hospital Timisoara and they improved the physicians perception in more than 50% of the cases. The report is concluded with medical discussions.
Highlights
In clinical cardiology, echocardiography has become nowadays one of the most employed diagnostic procedures [1,2]
Errors associated with the study procedure such as poor image quality, artefacts, and measurement errors render the endocardial border delineation (EBD), which is an important phase for the evaluation of volumes, unreliable
The algorithm was tested on several sets of ultrasound images provided by the Cardiology
Summary
Echocardiography has become nowadays one of the most employed diagnostic procedures [1,2]. In these cases, errors associated with the study procedure such as poor image quality, artefacts, and measurement errors render the endocardial border delineation (EBD), which is an important phase for the evaluation of volumes, unreliable. Errors associated with the study procedure such as poor image quality, artefacts, and measurement errors render the endocardial border delineation (EBD), which is an important phase for the evaluation of volumes, unreliable This leads mostly to underestimation of volumes and errors in the assessment of some valuable hemodynamic parameters, especially of the left ventricular (LV) ejection fraction (EF), that is essential for heart failure’s classification, for establishing an optimal therapeutic approach, and for prognostic purpose.
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