Specific Ultrasound Data Acquisition for Tissue Motion and Strain Estimation: Initial Results

Ultrasound applications such as elastography can benefit from 3-D data acquisition and processing. In this article, we describe a specific ultrasound probe, designed to acquire series of three adjacent imaging planes over time. This data acquisition makes it possible to consider the out-of-plane mot...

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Veröffentlicht in:Ultrasound in medicine & biology Jg. 43; H. 12; S. 2904
Hauptverfasser: Brusseau, Elisabeth, Bernard, Adeline, Meynier, Cyril, Chaudet, Philippe, Detti, Valérie, Férin, Guillaume, Basset, Olivier, Nguyen-Dinh, An
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England 01.12.2017
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ISSN:1879-291X, 1879-291X
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Zusammenfassung:Ultrasound applications such as elastography can benefit from 3-D data acquisition and processing. In this article, we describe a specific ultrasound probe, designed to acquire series of three adjacent imaging planes over time. This data acquisition makes it possible to consider the out-of-plane motion that can occur at the central plane during medium scanning, and is proposed with the aim of improving the results of strain imaging. In this first study, experiments were conducted on phantoms, and controlled axial and elevational displacements were applied to the probe using a motorized system. Radiofrequency ultrasound data were acquired at a 40-MHz sampling frequency with an Ultrasonix ultrasound scanner, and processed using a 3-D motion estimation method. For each of the 2-D regions of interest of the central plane in pre-compression data, a 3-D search was run to determine its corresponding version in post-compression data, with this search taking into account the region-of-interest deformation model chosen. The results obtained with the proposed ultrasound data acquisition and strain estimation were compared with results from a classic approach and illustrate the improvement produced by considering the medium's local displacements in elevation, with notably an increase in the mean correlation coefficients achieved.
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ISSN:1879-291X
1879-291X
DOI:10.1016/j.ultrasmedbio.2017.06.018