Source 1primary paper2025MED
Toolkit/adaptive weighted fusion strategy
adaptive weighted fusion strategy
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
An adaptive weighted fusion strategy was then employed to map these optical signals to the sound pressure field.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Develop and validate a non-invasive method for quantifying focused ultrasound acoustic fields, especially high-pressure distributions in the focal region.
Why it works: The workflow uses acousto-optic laser deflection measurements acquired from multiple orientations to reconstruct refractive index gradient distributions and then map those optical signals to the sound pressure field.
acousto-optic deflection effecttomographic acquisition of laser deflection imagesRadon-transform-based reconstruction of refractive index gradient distributionsfusion of optical observables into sound pressure field estimatestomographic scanningrotational scanningsynchronized triggeringRadon-transform inversionadaptive weighted fusioncomparison against hydrophone measurements and numerical simulations
Steps
- 1.Construct acousto-optic deflection experimental systemassay method being implemented
Build the measurement platform required for LDAQ data acquisition.
The optical and motion-control system must exist before tomographic scanning can be performed.
- 2.Acquire laser deflection images at multiple orientationsassay method being executed
Collect tomographic optical measurements of the acoustic field.
Multi-orientation image acquisition is required before computational reconstruction can be performed.
- 3.Reconstruct refractive index gradient distributions with Radon-transform inversioncomputation method used for reconstruction
Infer refractive index gradient distributions from optical observables.
This analysis depends on the previously acquired tomographic optical data and provides the intermediate representation needed for pressure mapping.
- 4.Map optical signals to the sound pressure field using adaptive weighted fusioncomputation method used for pressure mapping
Convert reconstructed optical information into the target sound pressure field.
Pressure mapping follows reconstruction because it uses the optical signals produced by the earlier acquisition and inversion steps.
- 5.Compare reconstructed LDAQ field with hydrophone measurements and numerical simulationsassay method being benchmarked
Validate whether the LDAQ reconstruction agrees with reference measurements and simulation.
Benchmarking is performed after the pressure field has been reconstructed so that agreement with reference methods can be assessed.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Techniques
Computational DesignTarget processes
No target processes tagged yet.
Input: Light
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
For an acoustic field generated by a 0.84 MHz focused ultrasound transducer, LDAQ reconstruction showed high consistency with hydrophone measurements and numerical simulations within the focal zone.
To validate the LDAQ technique, an acoustic field generated by an FU transducer operating at 0.84 MHz was measured. The reconstructed results were compared with both hydrophone measurements and numerical simulations. The findings demonstrated high consistency among all three results within the focal zone.
FU transducer operating frequency 0.84 MHz
LDAQ enables non-invasive and high-precision quantification of megapascal-level focused acoustic fields.
These results confirm that LDAQ enables non-invasive and high-precision quantification of megapascal-level focused acoustic fields
Full-field analysis yielded an RMSE of 0.1102 between LDAQ and simulation and an RMSE of 0.1422 between LDAQ and hydrophone measurements.
Full-field analysis yielded a root mean square error (RMSE) of 0.1102 between LDAQ and simulation, and an RMSE of 0.1422 between LDAQ and hydrophone measurements.
RMSE between LDAQ and hydrophone measurements 0.1422RMSE between LDAQ and simulation 0.1102
The study proposes Laser Deflection Acoustic Field Quantification as a non-invasive method for focused ultrasound acoustic field quantification based on the laser deflection principle.
this study proposes a non-invasive method termed Laser Deflection Acoustic Field Quantification (LDAQ), based on the laser deflection principle
LDAQ acquires tomographic laser deflection images at multiple orientations, uses Radon-transform inversion to reconstruct refractive index gradient distributions from light intensity and spot displacement changes, and then uses adaptive weighted fusion to map optical signals to the sound pressure field.
Through tomographic scanning, laser deflection images of the acoustic field were acquired at multiple orientations. An inversion algorithm using Radon transforms was proposed to reconstruct the refractive index gradient distributions from the variations of light intensity and spot displacement. An adaptive weighted fusion strategy was then employed to map these optical signals to the sound pressure field.
Approval Evidence
1 source1 linked approval claimfirst-pass slug adaptive-weighted-fusion-strategy
An adaptive weighted fusion strategy was then employed to map these optical signals to the sound pressure field.
Source:
workflow mechanismsupports
LDAQ acquires tomographic laser deflection images at multiple orientations, uses Radon-transform inversion to reconstruct refractive index gradient distributions from light intensity and spot displacement changes, and then uses adaptive weighted fusion to map optical signals to the sound pressure field.
Through tomographic scanning, laser deflection images of the acoustic field were acquired at multiple orientations. An inversion algorithm using Radon transforms was proposed to reconstruct the refractive index gradient distributions from the variations of light intensity and spot displacement. An adaptive weighted fusion strategy was then employed to map these optical signals to the sound pressure field.
Source:
Comparisons
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Ranked Citations
- 1.