A system and method to analyze tissue changes sends shear waves through tissue and then observes modifications in wave dispersion caused by viscosity and mass changes in the tissue.

Understanding and analyzing tissue health is vital in the field of medicine, particularly in detecting disease. Current methodologies often depend on imaging techniques, direct tissue sampling, or observational study, all of which may not always provide the most accurate or immediate results. The problem with these traditional methods is that they either produce late-stage results, causing delay in diagnosis and treatment, or they are invasive and potentially risky for patients. They also often fail to capture the complexities of tissue changes. Therefore, there is a pressing need for a noninvasive, rapid, and accurate technology to determine tissue health and detect any pathological changes at early stages.

Technology Description

This technology involves distributing shear waves across different kinds of tissues in reaction to an external ultrasonic signal. These signals are adaptive, having the capability of beam formation, which modifies the returning signals and arrivals, ensuring accurate readings by minimizing distortions. The primary focus of this technology is to highlight the contrast in velocities to aid in achieving precise measurements. This methodology is significantly distinctive as it employs shear-wave dispersion to calculate alterations in tissue caused by changes in viscosity and mass. The estimated data are then compared with reference data to ascertain tissue health. This adaptive signal processing, coupled with the unique focus on velocity contrasts, represents a truly innovative approach within the field of tissue health analysis.

Benefits

  • Precise and accurate detection of tissue changes
  • Noninvasive, safe procedure
  • Quick, efficient procedure compared to traditional methods
  • Capability to capture complexities of tissue change
  • Early detection and monitoring of diseases

Potential Use Cases

  • Disease detection in medical and healthcare sector
  • Noninvasive testing in clinical laboratories
  • Preventative screening in wellness programs
  • Routine check-ups in primary care
  • Cancer detection and monitoring in oncology