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US Patent 11776679 Methods for risk map prediction in AI-based MRI reconstruction

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11776679
Patent Inventor Names
John M. Pauly
Shreyas S. Vasanawala
David Donoho
Morteza Mardani Korani
Date of Patent
October 3, 2023
Patent Application Number
17196838
Date Filed
March 9, 2021
Patent Citations
‌
US Patent 10373055 Training variational autoencoders to generate disentangled latent factors
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US Patent 11468265 Neural networks for discovering latent factors from data
Patent Primary Examiner
‌
Nay A Maung
CPC Code
‌
G06T 11/003
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G06T 2207/10088
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G06T 7/0012
‌
G06N 3/088
‌
G06N 3/08
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G16H 30/40
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G16H 30/20
Patent abstract

A method is disclosed for generating pixel risk maps for diagnostic image reconstruction. The method produces uncertainty/variance maps by feeding into a trained encoder a short-scan image acquired from a medical imaging scan to generate latent code statistics including the mean μ

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