Physics-Informed Deep Learning for Advanced Medical Ultrasound
MCML Authors
Walter Simson
Dr.
Abstract
Walter Simson
Dr.
Abstract
Freehand ultrasound imaging is an important medical imaging modality due to its ease of applicability and wide application spectrum. Still, modern ultrasound imaging is a largely passive imaging modality, and does not dynamically adapt to the physics in the medium of interest. This dissertation presents the application of physics-informed deep learning for ultrasound imaging applied to sound speed estimation.
BibTeXKey: Sim22