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Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging

Singular value based spatiotemporal clutter filtering (SVD-STF) can significantly improve the sensitivity of blood flow imaging in small vessels without using contrast agents. However, despite effective clutter filtering, large physiological motion in thyroid imaging can impact coherent integration...

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Detalles Bibliográficos
Autores principales: Nayak, Rohit, Kumar, Viksit, Webb, Jeremy, Gregory, Adriana, Fatemi, Mostafa, Alizad, Azra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193022/
https://www.ncbi.nlm.nih.gov/pubmed/30333509
http://dx.doi.org/10.1038/s41598-018-33602-9
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author Nayak, Rohit
Kumar, Viksit
Webb, Jeremy
Gregory, Adriana
Fatemi, Mostafa
Alizad, Azra
author_facet Nayak, Rohit
Kumar, Viksit
Webb, Jeremy
Gregory, Adriana
Fatemi, Mostafa
Alizad, Azra
author_sort Nayak, Rohit
collection PubMed
description Singular value based spatiotemporal clutter filtering (SVD-STF) can significantly improve the sensitivity of blood flow imaging in small vessels without using contrast agents. However, despite effective clutter filtering, large physiological motion in thyroid imaging can impact coherent integration of the Doppler signal and degrade the visualization of the underlying vasculature. In this study, we hypothesize that motion correction of the clutter filtered Doppler ensemble, prior to the power Doppler estimation, can considerably improve the visualization of smalls vessels in suspicious thyroid nodules. We corroborated this hypothesis by conducting in vivo experiments on 10 female patients in the age group 44–82 yrs, with at least one thyroid nodule suspicious of malignancy, with recommendation for fine needle aspiration biopsy. Ultrasound images were acquired using a clinical ultrasound scanner, implemented with compounded plane wave imaging. Axial and lateral displacements associated with the thyroid nodules were estimated using 2D normalized cross-correlation. Subsequently, the tissue clutter associated with the Doppler ensemble was suppressed using SVD-STF. Motion correction of the clutter-filtered Doppler ensemble was achieved using a spline based sub-pixel interpolation. The results demonstrated that power Doppler images of thyroid nodules were noticeably degraded due to large physiological motion of the pulsating carotid artery in the proximity. The resultant power Doppler images were corrupted with signal distortion, motion blurring and occurrence of artificial shadow vessels and displayed visibly low signal-to-background contrast. In contrast, the power Doppler images obtained from the motion corrected ultrasound data addressed the issue and considerabley improved the visualization of blood flow. The signal-to-noise ratio and the contrast-to-noise ratio increased by up to 15.2 dB and 12.1 dB, respectively. Across the ten subjects, the highest improvement was observed for the nodule with the largest motion. These preliminary results show the ability of using motion correction to improve the visualization of small vessel blood flow in thyroid, without using any contrast agents. The results of this feasibility study were encouraging, and warrant further development and more in vivo validation in moving tissues and organs.
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spelling pubmed-61930222018-10-23 Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging Nayak, Rohit Kumar, Viksit Webb, Jeremy Gregory, Adriana Fatemi, Mostafa Alizad, Azra Sci Rep Article Singular value based spatiotemporal clutter filtering (SVD-STF) can significantly improve the sensitivity of blood flow imaging in small vessels without using contrast agents. However, despite effective clutter filtering, large physiological motion in thyroid imaging can impact coherent integration of the Doppler signal and degrade the visualization of the underlying vasculature. In this study, we hypothesize that motion correction of the clutter filtered Doppler ensemble, prior to the power Doppler estimation, can considerably improve the visualization of smalls vessels in suspicious thyroid nodules. We corroborated this hypothesis by conducting in vivo experiments on 10 female patients in the age group 44–82 yrs, with at least one thyroid nodule suspicious of malignancy, with recommendation for fine needle aspiration biopsy. Ultrasound images were acquired using a clinical ultrasound scanner, implemented with compounded plane wave imaging. Axial and lateral displacements associated with the thyroid nodules were estimated using 2D normalized cross-correlation. Subsequently, the tissue clutter associated with the Doppler ensemble was suppressed using SVD-STF. Motion correction of the clutter-filtered Doppler ensemble was achieved using a spline based sub-pixel interpolation. The results demonstrated that power Doppler images of thyroid nodules were noticeably degraded due to large physiological motion of the pulsating carotid artery in the proximity. The resultant power Doppler images were corrupted with signal distortion, motion blurring and occurrence of artificial shadow vessels and displayed visibly low signal-to-background contrast. In contrast, the power Doppler images obtained from the motion corrected ultrasound data addressed the issue and considerabley improved the visualization of blood flow. The signal-to-noise ratio and the contrast-to-noise ratio increased by up to 15.2 dB and 12.1 dB, respectively. Across the ten subjects, the highest improvement was observed for the nodule with the largest motion. These preliminary results show the ability of using motion correction to improve the visualization of small vessel blood flow in thyroid, without using any contrast agents. The results of this feasibility study were encouraging, and warrant further development and more in vivo validation in moving tissues and organs. Nature Publishing Group UK 2018-10-17 /pmc/articles/PMC6193022/ /pubmed/30333509 http://dx.doi.org/10.1038/s41598-018-33602-9 Text en © The Author(s) 2018 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/.
spellingShingle Article
Nayak, Rohit
Kumar, Viksit
Webb, Jeremy
Gregory, Adriana
Fatemi, Mostafa
Alizad, Azra
Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title_full Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title_fullStr Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title_full_unstemmed Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title_short Non-contrast agent based small vessel imaging of human thyroid using motion corrected power Doppler imaging
title_sort non-contrast agent based small vessel imaging of human thyroid using motion corrected power doppler imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193022/
https://www.ncbi.nlm.nih.gov/pubmed/30333509
http://dx.doi.org/10.1038/s41598-018-33602-9
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