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. 2020 Jan 15;10:415. doi: 10.1038/s41598-019-57330-w

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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An illustrative example of impact of motion on blood flow visualization in thyroid imaging, across transverse and longitudinal views. (a) Overviews the steps involved in conventional SVD based spatiotemproal clutter-filtered power Doppler imaging involving a large ensemble of ultrasound images obtained at high frame-rate. (b) Displays the anatomical position of the thyroid gland, the pulsating carotid artery and the rigid trachea, with respect to the longitudinal and transverse planes. The image in (b) was created with BioRender.com (c) illustrates the impact of motion on coherent integration of the Doppler ensemble, and its potential impact on the visualization of the blood flow signal¹⁴. (d) Outlines the steps involved in correcting in-plane motion, prior to Doppler integration for improved visualization, as demonstrated in¹⁴.