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Quantitative Viscoelastic Response (QVisR) Ultrasound to Diagnose, Treat, and Monitor Disease in Patients

Technology #20-0010

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Researchers
Caterina Gallippi
Managed By
Matthew Howe
Commercialization Manager 919.966.3929
Patent Protection
Provisional Patent Application Filed

Diagnosis of a disease using non-invasive biomarkers is a much safer alternative compared to surgical methods. Non-invasive biomarkers also accelerate the diagnosis, treatment, and monitoring of patients. Researchers in the Department of Biomedical Engineering have developed a method, termed Quantitative Viscoelastic Response (QVisR) ultrasound, to quantitatively assess underlying tissue characteristics that directly and accurately reflect tissue viscoelastic properties. The tissue viscoelastic responses are quantitative and can be compared between subjects, providing benchmarks for clinicians. QVisR avoids low image resolution and the presence of artifacts by using only the acoustic radiation force region of excitation. Additionally, QVisR applies machine learning approaches to estimate material properties rather than a simple look-up table-based method used by other quantitative methods. The machine learning methods are less sensitive to noise and reflections and provides enhanced resolution compared to look-up tables. The method can be used to aid in the diagnosis of a variety of diseases, such as muscular dystrophies (ex: Duchenne muscular dystrophy), tumors, Crohn’s disease, and glaucoma.
 
Benefits and therapeutic applications:

  • Tissue viscoelastic responses are quantitative and can be compared between subjects, providing benchmarks for clinicians.
  • Ability to image and track the same patient to monitor disease progression.
  • Diagnosis of muscular dystrophies, tumors, Crohn’s disease, glaucoma, cysts, and other diseases originating in soft tissues and the musculoskeletal system.

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