Patents by Inventor John J. Volpi

John J. Volpi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

METHOD OF CT DENOISING EMPLOYING DEEP LEARNING OF MULTIPLE CO-REGISTERED SCANS OF THE SAME PERSON AND GROUP CONVOLUTIONAL NEURAL NETWORK ANALYSES

Publication number: 20240095887

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.

Type: Application

Filed: April 25, 2022

Publication date: March 21, 2024

Inventors: Kelvin Wong, Stephen T.C. Wong, John J. Volpi

METHOD OF CT DENOISING EMPLOYING DEEP LEARNING OF MULTIPLE CO-REGISTERED SCANS OF THE SAME PERSON AND GROUP CONVOLUTIONAL NEURAL NETWORK ANALYSES