1 April 2016 Robust spatio-temporal registration of 4D cardiac ultrasound sequences
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Proceedings Volume 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography; 97900F (2016); doi: 10.1117/12.2217005
Event: SPIE Medical Imaging, 2016, San Diego, California, United States
Abstract
Registration of multiple 3D ultrasound sectors in order to provide an extended field of view is important for the appreciation of larger anatomical structures at high spatial and temporal resolution. In this paper, we present a method for fully automatic spatio-temporal registration between two partially overlapping 3D ultrasound sequences. The temporal alignment is solved by aligning the normalized cross correlation-over-time curves of the sequences. For the spatial alignment, corresponding 3D Scale Invariant Feature Transform (SIFT) features are extracted from all frames of both sequences independently of the temporal alignment. A rigid transform is then calculated by least squares minimization in combination with random sample consensus. The method is applied to 16 echocardiographic sequences of the left and right ventricles and evaluated against manually annotated temporal events and spatial anatomical landmarks. The mean distances between manually identified landmarks in the left and right ventricles after automatic registration were (mean±SD) 4.3±1.2 mm compared to a reference error of 2.8 ± 0.6 mm with manual registration. For the temporal alignment, the absolute errors in valvular event times were 14.4 ± 11.6 ms for Aortic Valve (AV) opening, 18.6 ± 16.0 ms for AV closing, and 34.6 ± 26.4 ms for mitral valve opening, compared to a mean inter-frame time of 29 ms.
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Jørn Bersvendsen, Matthew Toews, Adriyana Danudibroto, William M. Wells, Stig Urheim, Raúl San José Estépar, Eigil Samset, "Robust spatio-temporal registration of 4D cardiac ultrasound sequences", Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900F (1 April 2016); doi: 10.1117/12.2217005; http://dx.doi.org/10.1117/12.2217005
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KEYWORDS
Ultrasonography

Image registration

3D image processing

Heart

3D acquisition

Echocardiography

Magnetic resonance imaging

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