Experimental verification of the correlation behavior of analytic ultrasound radiofrequency signals received from moving structures.
← Research streamExperiments showed that axial and lateral motion can be estimated from the shape of the envelope of the 2-D (spatial and temporal) correlation function of analytic M-mode RF signals. The correlation-envelope shape was also affected by received RF signal bandw…
Study snapshot
Abstract
Conventional pulsed ultrasound systems are only able to detect motion along the ultrasound beam (i.e., axial motion). If the angle between the actual motion direction and the ultrasound beam is known, then the magnitude of the actual motion can be derived. This technique can be applied for laminar blood-flow measurements in straight vessels, but for tissue motion it is inadequate because the local tissue motion direction is unknown and may be position-dependent. Assessment of both the axial motion and the lateral motion (i.e., in the direction perpendicular to the ultrasound beam) makes angle-independent assessment of the magnitude of the actual motion feasible. Information about the axial and lateral motion is available in a set of radiofrequency (RF) signals obtained along the same line of observation (M-mode). The experiments described in the present paper show that axial and lateral motion can be estimated from the shape of the envelope of the 2-D (spatial and temporal) correlation function of analytic M-mode RF signals. Furthermore, it is demonstrated that the shape is also affected by the Band width of the received RF signals, signal-to-noise ratio, and local amplitude and phase characteristics of the ultrasound beam.
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
Experiments showed that axial and lateral motion can be estimated from the shape of the envelope of the 2-D (spatial and temporal) correlation function of analytic M-mode RF signals. The correlation-envelope shape was also affected by received RF signal bandwidth, signal-to-noise ratio, and local amplitude and phase characteristics of the ultrasound beam.
Outcomes measured
- Ability to estimate axial motion from analytic M-mode RF signals
- Ability to estimate lateral motion from analytic M-mode RF signals
- Dependence of 2-D correlation envelope shape on RF signal bandwidth
- Dependence of 2-D correlation envelope shape on signal-to-noise ratio
- Dependence of 2-D correlation envelope shape on local amplitude/phase characteristics of the ultrasound beam
View raw extracted JSON
{
"study_type": "engineering",
"exposure": {
"band": null,
"source": "ultrasound imaging (M-mode RF signals)",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": null,
"sample_size": null,
"outcomes": [
"Ability to estimate axial motion from analytic M-mode RF signals",
"Ability to estimate lateral motion from analytic M-mode RF signals",
"Dependence of 2-D correlation envelope shape on RF signal bandwidth",
"Dependence of 2-D correlation envelope shape on signal-to-noise ratio",
"Dependence of 2-D correlation envelope shape on local amplitude/phase characteristics of the ultrasound beam"
],
"main_findings": "Experiments showed that axial and lateral motion can be estimated from the shape of the envelope of the 2-D (spatial and temporal) correlation function of analytic M-mode RF signals. The correlation-envelope shape was also affected by received RF signal bandwidth, signal-to-noise ratio, and local amplitude and phase characteristics of the ultrasound beam.",
"effect_direction": "unclear",
"limitations": [],
"evidence_strength": "insufficient",
"confidence": 0.74,
"peer_reviewed_likely": "yes",
"keywords": [
"pulsed ultrasound",
"M-mode",
"radiofrequency signals",
"analytic signals",
"2-D correlation function",
"axial motion",
"lateral motion",
"tissue motion",
"blood flow",
"bandwidth",
"signal-to-noise ratio"
],
"suggested_hubs": []
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: 10.1016/s0301-5629(98)00101-x
PubMed: 10385961