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Blind Source Separation-Based Displacement Tracking Improves Quantitative, On-Axis Shear Elastic Modulus Estimation from DoPIo Ultrasound
- Source :
- 2020 IEEE International Ultrasonics Symposium (IUS).
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- While SWEI methods require shear wave propagation to be sampled across a measurement kernel, the recently-introduced double-profile intersection (DoPIo) ultrasound can estimate shear moduli locally and on-axis by exploiting ARF-induced displacement underestimation caused by scatterer shearing under a tracking PSF. We herein perform a systematic comparison of DoPIo to MTL/STL-SWEI to identify the benefits and limitations of using multiple tracking F-numbers. We further compare DoPIo performance achieved using conventional normalized cross-correlation (NCC) to that using a blind source separation (BSS) estimator by assessing its impact of mechanical feature resolution and measurements via automatic segmentation. DoPIo shear modulus estimates in a simulated elastic phantom using BSS resulted in a contrast transfer efficiency comparable to STL-SWEI (0.81 for a 12.0 kPa feature within an 8.0 kPa background using BSS-DoPIo, compared to 0.77 for NCC, 0.76 for MTL-SWEI, and 0.81 for STL-SWEI). We also demonstrate DoPIo measurements in a calibrated phantomm using a clinical ultrasound scanner system. In doing so, we present DoPIo as a method to ultrasonically measure the shear modulus of tissue that may be performed on-axis independently of ARF amplitudes.
- Subjects :
- Shearing (physics)
Scanner
Materials science
medicine.diagnostic_test
Acoustics
Estimator
01 natural sciences
Blind signal separation
Imaging phantom
030218 nuclear medicine & medical imaging
Shear modulus
03 medical and health sciences
0302 clinical medicine
Amplitude
0103 physical sciences
medicine
Elastography
010301 acoustics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Ultrasonics Symposium (IUS)
- Accession number :
- edsair.doi...........a1cc44edfa71d0a84064a6cb992191ec