Modeling of the correlation of analytic ultrasound radiofrequency signals for angle-independent motion detection.

Ultrasonic imaging · 1998 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 4069

Study snapshot

PublicationUltrasonic imaging · 1998

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Conventional pulsed ultrasound systems are able to assess motion of scatterers in the direction of the ultrasound beam, i.e., axial motion, by determining the lag at which the maximum correlation occurs between consecutively-received radiofrequency (rf) signals. The accuracy, resolution, and processing time of this technique is improved by making use of a model for the correlation of rf signals. All previously-described correlation models only include axial motion, but it is common knowledge that lateral motion, i.e., motion in the plane perpendicular to the beam axis, reduces the correlation of rf signals in time. In the present paper, a model for the correlation of analytic rf signals in depth and time is derived and verified. It also includes, aside of some signal and transducer parameters, both axial and lateral motion. The influence of lateral motion on the correlation of (analytic) rf signals is strongly related to local phase and amplitude characteristics of the ultrasound beam. It is shown how the correlation model, making use of an ultrasound transducer with a circular beam shape, can be applied to estimate, independent of angle, the magnitude of the actual motion. Furthermore, it is shown that the model can be applied to estimate the local signal-to-noise ratio and rf bandwidth.

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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.

Study typeengineering

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

A correlation model for analytic ultrasound RF signals in depth and time was derived and verified, incorporating both axial and lateral motion. The model relates lateral-motion effects on correlation to local phase and amplitude characteristics of the ultrasound beam and can be applied (with a circular beam shape transducer) to estimate motion magnitude independent of angle, as well as local SNR and RF bandwidth.

Outcomes measured

Correlation modeling of analytic ultrasound RF signals
Angle-independent motion magnitude estimation (axial and lateral motion)
Estimation of local signal-to-noise ratio
Estimation of RF bandwidth

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "ultrasound imaging system (pulsed ultrasound radiofrequency signals)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Correlation modeling of analytic ultrasound RF signals",
    "Angle-independent motion magnitude estimation (axial and lateral motion)",
    "Estimation of local signal-to-noise ratio",
    "Estimation of RF bandwidth"
  ],
  "main_findings": "A correlation model for analytic ultrasound RF signals in depth and time was derived and verified, incorporating both axial and lateral motion. The model relates lateral-motion effects on correlation to local phase and amplitude characteristics of the ultrasound beam and can be applied (with a circular beam shape transducer) to estimate motion magnitude independent of angle, as well as local SNR and RF bandwidth.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "ultrasound",
    "radiofrequency signals",
    "analytic RF signals",
    "correlation model",
    "axial motion",
    "lateral motion",
    "motion detection",
    "beam shape",
    "signal-to-noise ratio",
    "bandwidth"
  ],
  "suggested_hubs": []
}

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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: 10.1177/016173469802000401
PubMed: 10197345

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