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CVPR
2010
IEEE

Shape-based similarity retrieval of Doppler images for clinical decision support

13 years 9 months ago
Shape-based similarity retrieval of Doppler images for clinical decision support
Flow Doppler imaging has become an integral part of an echocardiographic exam. Automated interpretation of flow doppler imaging has so far been restricted to obtaining hemodynamic information from velocity-time profiles depicted in these images. In this paper we exploit the shape patterns in Doppler images to infer the similarity in valvular disease labels for purposes of automated clinical decision support. Specifically, we model the similarity in appearance of Doppler images from the same disease class as a constrained non-rigid translation transform of the velocity envelopes embedded in these images. The shape similarity between two doppler images is then judged by recovering the alignment transform using a variant of dynamic shape warping. Results of similarity retrieval of doppler images for cardiac decision support on a large database of images are presented.
Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, Da
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where CVPR
Authors Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
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