公开(公告)号：US12182970B2

公开(公告)日：2024-12-31

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: G06T5/70 ,  G06N3/04 ,  G06N3/082 ,  G06T5/73 ,  G16H30/20 ,  A61B6/00

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.

公开(公告)号：US10789738B2

公开(公告)日：2020-09-29

申请号：US16179751

申请日：2018-11-02

Applicant: THE UNIVERSITY OF CHICAGO ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Xiaochuan Pan ,  Zheng Zhang ,  Dan Xia ,  Yu-Bing Chang ,  Jingwu Yao ,  Joseph Manak

IPC: G06T11/00 ,  A61B6/00 ,  A61B6/03

Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce artifacts due to objects outside the field of view (FOV) of a reconstructed image. The artifacts are suppressed by using an iterative reconstruction method to minimize a cost function that includes a de-emphasis operator. The de-emphasis operator operates in the data domain, and minimizes the contributions of data inconsistencies arising from attenuation due to objects outside the FOV. This can be achieved by penalizing images that manifest indicia of artifacts due to outside objects especially those outside objects have high-attenuation densities and minimizing components of the data inconsistency likely attributable to the outside object.

公开(公告)号：US20190139272A1

公开(公告)日：2019-05-09

申请号：US16179751

申请日：2018-11-02

Applicant: THE UNIVERSITY OF CHICAGO ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Xiaochuan Pan ,  Zheng Zhang ,  Dan Xia ,  Yu-Bing Chang ,  Jingwu Yao ,  Joseph Manak

IPC: G06T11/00 ,  A61B6/00

Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce artifacts due to objects outside the field of view (FOV) of a reconstructed image. The artifacts are suppressed by using an iterative reconstruction method to minimize a cost function that includes a de-emphasis operator. The de-emphasis operator operates in the data domain, and minimizes the contributions of data inconsistencies arising from attenuation due to objects outside the FOV. This can be achieved by penalizing images that manifest indicia of artifacts due to outside objects especially those outside objects have high-attenuation densities and minimizing components of the data inconsistency likely attributable to the outside object.