Quantitativein-vivofull-waveform ultrasound tomography workflow integrating reflection imaging and resolution...

Area of Science:

• Medical Imaging
• Acoustics
• Computational Science

Background:

• Full-waveform inversion (FWI) is a powerful technique for high-resolution ultrasound imaging.
• Its computational complexity currently limits widespread clinical adoption.
• Quantitative tissue and bone structure models are derived from non-invasive ultrasonic measurements.

Purpose of the Study:

• To apply acoustic FWI to in-vivo data.
• To demonstrate the potential for enhanced resolution in reconstructed models.
• To identify key components for high-resolution model reconstruction and accurate anatomical feature identification.

Main Methods:

• Acoustic FWI applied to in-vivo data.
• Source wavelet modeling via inversion of source-time function using calibration data.
• Misfit functional definition using graph-space optimal transport to reduce nonlinearity.
• Resolution analysis using point perturbations.

Main Results:

• Demonstrated potential gain in resolution of reconstructed models using acoustic FWI.
• Identified three essential components for high-resolution reconstruction.
• Accurate identification of anatomical features was achieved.

Conclusions:

• Acoustic FWI can significantly improve the resolution of medical ultrasound imaging.
• Optimizing source wavelet, misfit functional, and resolution analysis are crucial.
• This approach shows promise for enhanced in-vivo anatomical imaging.