ArticleDiagnostics (Basel, Switzerland)2020
Quantification of Endogenous Brain Tissue Displacement Imaging by Radiofrequency Ultrasound.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Liver tissue changes during and post 6-month spaceflight as measured by ultrasound radio frequency signal processing.Frontiers in physiology · 2024Article
- Simulation of Ultrasound RF Signals Backscattered from a 3D Model of Pulsating Artery Surrounded by Tissue.Diagnostics (Basel, Switzerland) · 2022Article
- 4 days in dry immersion increases arterial wall response to ultrasound wave as measured using radio-frequency signal, comparison with spaceflight data.Frontiers in physiology · 2022Article
- Diagnostic Ability of Radiofrequency Ultrasound in Parkinson's Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2020Article
- Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer's Disease.Diagnostics (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The purpose of this paper is a quantification of displacement parameters used in the imaging of brain tissue endogenous motion using ultrasonic radiofrequency (RF) signals. In a preclinical study, an ultrasonic diagnostic system with RF output was equipped with dedicated signal processing software and subject head-ultrasonic transducer stabilization. This allowed the use of RF scanning frames for the calculation of micrometer-range displacements, excluding sonographer-induced motions. Analysis of quantitative displacement estimates in dynamical phantom experiments showed that displacements of 55 µm down to 2 µm were quantified as confident according to Pearson correlation between signal fragments (minimum
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Registered trials
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