公开(公告)号：US20230274473A1

公开(公告)日：2023-08-31

申请号：US17680873

申请日：2022-02-25

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Rui HUA ,  Komal DUTTA ,  Joseph MANAK ,  Yi HU ,  Yubing CHANG ,  Yujie LU ,  John BAUMGART

IPC: G06T11/00 ,  G06T5/00 ,  G06T7/00 ,  G01N23/046 ,  G16H30/40 ,  G06N5/02

CPC classification number: G06T11/005 ,  G06T5/002 ,  G06T7/0012 ,  G01N23/046 ,  G16H30/40 ,  G06N5/022 ,  G06T2207/20084 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/10116 ,  G06T2207/30004 ,  G01N2223/401

Abstract: A projection dataset from a cone beam computed tomography (CBCT) can be input into a first set of one or more neural networks trained for at least one of saturation correction, truncation correction, and scatter correction. Reconstruction can then be performed on the output projection dataset to produce an image dataset. Thereafter, this image dataset can be input into a second set of one or more neural networks trained for at least one of noise reduction and artefact reduction, thereby generating a higher quality CBCT image.

公开(公告)号：US20230115941A1

公开(公告)日：2023-04-13

申请号：US17962734

申请日：2022-10-10

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Yi HU ,  Yu-Bing CHANG ,  Komal DUTTA ,  Haruki IWAI ,  Rui HUA ,  Joseph MANAK

IPC: A61B6/00 ,  A61B6/02 ,  A61B6/03 ,  G06N3/04 ,  G06N3/08

Abstract: An X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to improve quality of fourth data corresponding to a fourth number of views that is smaller than a first number of views by inputting the fourth data to a learned model generated by performing machine learning with second data corresponding to a second number of views as input learning data, and third data corresponding to a third number of views that is larger than the second number of views as output learning data, the second data and the third data being acquired based on first data corresponding to the first number of views. The fourth data is data acquired by tomosynthesis imaging.

公开(公告)号：US20220414832A1

公开(公告)日：2022-12-29

申请号：US17356612

申请日：2021-06-24

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Yi HU ,  Rui HUA ,  Joseph MANAK ,  John BAUMGART ,  Yu-Bing CHANG

IPC: G06T5/00 ,  G06N3/04 ,  G06N3/08 ,  G16H30/20

Abstract: A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.