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First-Order Statistical Speckle Models Improve Robustness And Reproducibility Of Contrast-Enhanced Ultrasound Perfusion Estimates, Matthew R. Lowerison

Electronic Thesis and Dissertation Repository

Contrast-enhanced ultrasound (CEUS) permits the quantification and monitoring of adaptive tumor responses in the face of anti-angiogenic treatment, with the goal of informing targeted therapy. However, conventional CEUS image analysis relies on mean signal intensity as an estimate of tracer concentration in indicator-dilution modeling. This discounts additional information that may be available from the first-order speckle statistics in a CEUS image. Heterogeneous vascular networks, typical of tumor-induced angiogenesis, lead to heterogeneous contrast enhancement of the imaged tumor cross-section.

To address this, a linear (B-mode) processing approach was developed to quantify the change in the first-order speckle statistics of B-mode cine …