Harmonic motion imaging in non-invasive tissue characterization
This technology is a method of noninvasive biological tissue characterization using Harmonic Motion Imaging.
Unmet Need: Non-invasive and clinically translatable method of tissue characterization
Biological tissue characterization is important for clinical assessments such as ultrasound applications. However, existing tissue imaging techniques require more than two transducers, which has hindered their successful translation into clinical applications or implementation into existing commercially available systems. Additionally, current techniques detect tissue relaxation after a radiation force is applied, resulting in a loss of signal from unwanted diffraction and scattering effects.
The Technology: Harmonic motion imaging technique easily implemented into existing clinical systems
This technology uses acoustic radiation force based on Harmonic Motion Imaging (HMI) to measure a tissue’s displacement by the acoustic wave. The method uses only two transducers, making it easily implementable into existing ultrasound diagnostic or therapeutic systems. The HMI technique is independent of speed of sound, a parameter that can limit the modalities used during the measurement. Furthermore, HMI also measures tissue displacement during the application of the acoustic radiation force, providing a robust method of noninvasive quantification of tissue attenuations.
This technology has been validated in commercially available tissue mimicking phantoms, as well as in vivo using canine livers.
Applications:
- Early diagnosis and treatment monitoring during thermal ultrasound treatment procedures
- Elasticity imaging of soft tissues
- Assessment of tissue elasticity undergoing thermal ablation
Advantages:
- Easy implementation into existing commercially available systems
- Detects tissue displacement during the application of the acoustic force
- Noninvasive method
- Independent of speed of sound
- Can be translated into clinical use
Lead Inventor:
Patent Information:
Related Publications:
Tech Ventures Reference:
IR CU13179
Licensing Contact: Ron Katz
