Automatic alignment of standard views for transesophageal echocardiographic images

Håkon Strand Bølviken; Olivier Gerard; Federico Veronesi; Eigil Samset

doi:10.1117/1.JMI.9.5.057001

31 October 2022 Automatic alignment of standard views for transesophageal echocardiographic images

Håkon Strand Bølviken, Olivier Gerard, Federico Veronesi, Eigil Samset

Author Affiliations +

Journal of Medical Imaging, Vol. 9, Issue 5, 057001 (October 2022). https://doi.org/10.1117/1.JMI.9.5.057001

Abstract

Purpose

3D transesophageal echocardiography (TEE) has become an important modality for pre- and peri-operative imaging of valvular heart disease. TEE can give excellent visualization of valve morphology in 3D rendering. As a convention, 3D TEE images are reformatted in three standard views. We describe a method for automatic calculation of parameters needed to define the standard views from 3D TEE images using no manual input.

Approach

An algorithm was designed to find the center of the mitral valve and the left ventricular outflow tract (OT). These parameters defined the three-chamber view. The problem was modeled as a state estimation problem in which a 3D model was deformed based on shape priors and edge detection using a Kalman filter. This algorithm is capable of running in real time after initialization.

Results

The algorithm was validated by comparing the automatic alignments of 106 TEE images against manually placed landmarks. The median error for determining the mitral valve center was 7.1 mm, and the median error for determining the left ventricular OT orientation was 13.5 deg.

Conclusion

The algorithm is an accurate tool for automating the process of finding standard views for TEE images of the mitral valve.

Citation Download Citation

Håkon Strand Bølviken, Olivier Gerard, Federico Veronesi, and Eigil Samset "Automatic alignment of standard views for transesophageal echocardiographic images," Journal of Medical Imaging 9(5), 057001 (31 October 2022). https://doi.org/10.1117/1.JMI.9.5.057001

Received: 18 February 2022; Accepted: 12 October 2022; Published: 31 October 2022

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KEYWORDS

Filtering (signal processing)

Ultrasonography

Aorta

Automatic alignment

3D image processing

3D imaging standards

Image processing

Purpose

Approach

Results

Conclusion

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