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Appl. Sci. 2017, 7(7), 752; doi:10.3390/app7070752

Automatic Definition of an Anatomic Field of View for Volumetric Cardiac Motion Estimation at High Temporal Resolution

1
Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium
2
Department of Biomedical Engineering, Tsinghua University, 100084 Beijing, China
*
Author to whom correspondence should be addressed.
Received: 7 June 2017 / Revised: 17 July 2017 / Accepted: 20 July 2017 / Published: 24 July 2017
(This article belongs to the Special Issue Ultrafast Ultrasound Imaging)
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Abstract

Fast volumetric cardiac imaging requires reducing the number of transmit events within a single volume. One way of achieving this is by limiting the field of view (FOV) of the recording to the myocardium when investigating cardiac mechanics. Although fully automatic solutions towards myocardial segmentation exist, translating that information in a fast ultrasound scan sequence is not trivial. In particular, multi-line transmit (MLT) scan sequences were investigated given their proven capability to increase frame rate (FR) while preserving image quality. The aim of this study was therefore to develop a methodology to automatically identify the anatomically relevant conically shaped FOV, and to translate this to the best associated MLT sequence. This approach was tested on 27 datasets leading to a conical scan with a mean opening angle of 19.7° ± 8.5°, while the mean “thickness” of the cone was 19° ± 3.4°, resulting in a frame rate gain of about 2. Then, to subsequently scan this conical volume, several MLT setups were tested in silico. The method of choice was a 10MLT sequence as it resulted in the highest frame rate gain while maintaining an acceptable cross-talk level. When combining this MLT scan sequence with at least four parallel receive beams, a total frame rate gain with a factor of approximately 80 could be obtained. As such, anatomical scan sequences can increase frame rate significantly while maintaining information of the relevant structures for functional myocardial imaging. View Full-Text
Keywords: fast 3D cardiac imaging; anatomical imaging; multi-line transmit fast 3D cardiac imaging; anatomical imaging; multi-line transmit
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ortega, A.; Pedrosa, J.; Heyde, B.; Tong, L.; D’hooge, J. Automatic Definition of an Anatomic Field of View for Volumetric Cardiac Motion Estimation at High Temporal Resolution. Appl. Sci. 2017, 7, 752.

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