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Proceedings Paper

Automatic extraction of disease-specific features from Doppler images
Author(s): Mohammadreza Negahdar; Mehdi Moradi; Nripesh Parajuli; Tanveer Syeda-Mahmood
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Paper Abstract

Flow Doppler imaging is widely used by clinicians to detect diseases of the valves. In particular, continuous wave (CW) Doppler mode scan is routinely done during echocardiography and shows Doppler signal traces over multiple heart cycles. Traditionally, echocardiographers have manually traced such velocity envelopes to extract measurements such as decay time and pressure gradient which are then matched to normal and abnormal values based on clinical guidelines. In this paper, we present a fully automatic approach to deriving these measurements for aortic stenosis retrospectively from echocardiography videos. Comparison of our method with measurements made by echocardiographers shows large agreement as well as identification of new cases missed by echocardiographers.

Paper Details

Date Published: 3 March 2017
PDF: 6 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101340N (3 March 2017); doi: 10.1117/12.2253956
Show Author Affiliations
Mohammadreza Negahdar, IBM Research - Almaden (United States)
Mehdi Moradi, IBM Research - Almaden (United States)
Nripesh Parajuli, Yale Univ. (United States)
Tanveer Syeda-Mahmood, IBM Research - Almaden (United States)


Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato; Nicholas A. Petrick, Editor(s)

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