Patent №
US 12,579,644
Granted
2026-03-17
Filed 2023
Owner
Northwestern University
Lab
—
AI components
0
Assignment
None on record
Dataset
AIPD
Application
18446925
Esophageal bolus transport and esophageal mechanics are quantified from medical imaging data, such as dynamic magnetic resonance imaging (“MRI”) data, computed tomography (“CT”) data, or the like. A machine learning model is used to process geometric or other spatiotemporal parameters of a bolus imaged with medical imaging in order to estimate quantitative parameters of the bolus and/or esophagus, such as cross-sectional area, fluid velocity, and fluid pressure. From these values, other parameters can be computed, such as esophageal stiffness and active relaxation.
G06T 7/0012G06T 7/11G06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30004
Ownership
Northwestern University
From the same owner
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