Image-based temporal alignment of echocardiographic sequences

Adriyana Danudibroto; Jørn Bersvendsen; Oana Mirea; Olivier Gerard; Jan D'hooge; Eigil Samset

doi:10.1117/12.2216192

1 April 2016 Image-based temporal alignment of echocardiographic sequences

Adriyana Danudibroto, Jørn Bersvendsen, Oana Mirea, Olivier Gerard, Jan D'hooge, Eigil Samset

Proceedings Volume 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography; 97901G (2016) https://doi.org/10.1117/12.2216192
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Temporal alignment of echocardiographic sequences enables fair comparisons of multiple cardiac sequences by showing corresponding frames at given time points in the cardiac cycle. It is also essential for spatial registration of echo volumes where several acquisitions are combined for enhancement of image quality or forming larger field of view. In this study, three different image-based temporal alignment methods were investigated. First, a method based on dynamic time warping (DTW). Second, a spline-based method that optimized the similarity between temporal characteristic curves of the cardiac cycle using 1D cubic B-spline interpolation. Third, a method based on the spline-based method with piecewise modification. These methods were tested on in-vivo data sets of 19 echo sequences. For each sequence, the mitral valve opening (MVO) time was manually annotated. The results showed that the average MVO timing error for all methods are well under the time resolution of the sequences.

Citation Download Citation

Adriyana Danudibroto, Jørn Bersvendsen, Oana Mirea, Olivier Gerard, Jan D'hooge, and Eigil Samset "Image-based temporal alignment of echocardiographic sequences", Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97901G (1 April 2016); https://doi.org/10.1117/12.2216192

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available