Invention Grant
- Patent Title: Systems and methods for accurate and rapid positron emission tomography using deep learning
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Application No.: US17675814Application Date: 2022-02-18
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Publication No.: US12165318B2Publication Date: 2024-12-10
- Inventor: Tao Zhang , Enhao Gong
- Applicant: Subtle Medical, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Subtle Medical, Inc.
- Current Assignee: Subtle Medical, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Wilson Sonsini Goodrich & Rosati
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/70

Abstract:
A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition parameter for imaging a subject using a medical imaging apparatus; acquiring, using the medical imaging apparatus, a medical image of the subject according to the accelerated image acquisition parameter; applying a deep network model to the medical image to generate a corresponding transformed medical image with improved quality; and combining the medical image and the corresponding transformed medial image using an adaptive mixing algorithm to generate output image.
Public/Granted literature
- US20220343496A1 SYSTEMS AND METHODS FOR ACCURATE AND RAPID POSITRON EMISSION TOMOGRAPHY USING DEEP LEARNING Public/Granted day:2022-10-27
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