The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 11, 2026

Filed:

May. 08, 2023
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Florintina C, Bengaluru, IN;

Sajith Rajamani, Bengaluru, IN;

Preetham Shankpal, Bengaluru, IN;

Suresh Emmanuel Devadoss Joel, Bengaluru, IN;

Sudhanya Chatterjee, Bengaluru, IN;

Rohan Patil, Bengaluru, IN;

Ramesh Venkatesan, Bengaluru, IN;

Rajagopalan Sundaresan, Bengaluru, IN;

Harsh Kumar Agarwal, Jaipur, IN;

Assignee:

GE PRECISION HEALTHCARE LLC, Waukesha, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G06T 5/70 (2024.01); G06T 5/73 (2024.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06T 5/70 (2024.01); G06T 5/73 (2024.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20216 (2013.01);
Abstract

A method includes acquiring an MRI complex signal having a plurality of complex echoes during an SWI sequence. The method includes phase filtering each complex echo of the plurality of complex echoes. The method also includes generating a respective phase image and a respective magnitude image from each phase filtered complex echo. The method further includes combining separately the respective magnitude images of the plurality of complex echoes with each other to generate a combined magnitude image and the respective phase images of the plurality of complex echoes with each other to generate a combined phase image. The method includes generating a complex image from both the combined magnitude image and the combined phase image. The method includes utilizing a deep learning-based denoising network to denoise the complex image to generate a denoised complex image.


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