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. 25, 2026

Filed:

Apr. 25, 2022
Applicant:

The Methodist Hospital, Houston, TX (US);

Inventors:

Kelvin Wong, Houston, TX (US);

Stephen T.C. Wong, Houston, TX (US);

John J. Volpi, Houston, TX (US);

Assignee:

The Methodist Hospital, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G06T 5/70 (2024.01); G06T 5/50 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20224 (2013.01); G06T 2207/30016 (2013.01);
Abstract

Disclosed is a novel CT denoising method using deep learning to boost the image signal-to-noise ratio for improved disease detection in patients with acute ischemic stroke (AIS). This method reduced the original CT image noise significantly better than BM3D, with SNR improvements in GM, WM, and DG by 2.47×, 2.83×, and 2.64× respectively and CNR improvements in DG/WM and GM/WM by 2.30× and 2.16× respectively. Scans denoised by the proposed model are shown to be visually clearer with preserved anatomy. The disclosed deep learning model significantly reduces image noise and improves signal-to-noise and contrast-to-noise ratios in 380 unseen head NCCT cases.


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