Xiao Qing Chen

US Patent:

20220366535, Nov 17, 2022

Filed:

Apr 28, 2021

Appl. No.:

17/242473

Inventors:

- Shanghai, CN
Zhang Chen - Cambridge MA, US
Xiao Chen - Cambridge MA, US
Shanhui Sun - Cambridge MA, US
Terrence Chen - Cambridge MA, US

Assignee:

Shanghai United Imaging Intelligence Co., LTD. - Shanghai

International Classification:

G06T 3/40
G06T 11/00
G16H 30/40
G06N 3/08

Abstract:

An unsupervised machine learning method with self-supervision losses improves a slice-wise spatial resolution of 3D medical images with thick slices, and does not require high resolution images as the ground truth for training. The method utilizes information from high-resolution dimensions to increase a resolution of another desired dimension.

US Patent:

20230079164, Mar 16, 2023

Filed:

Sep 15, 2021

Appl. No.:

17/475534

Inventors:

- Shanghai, CN
Zhang Chen - Brookline MA, US
Xiao Chen - Lexington MA, US
Terrence Chen - Lexington MA, US
Junshen Xu - Cambridge MA, US

Assignee:

Shanghai United Imaging Intelligence Co., Ltd. - Shanghai

International Classification:

G06T 7/30
G06N 3/02

Abstract:

Deep learning based systems, methods, and instrumentalities are described herein for registering images from a same imaging modality and different imaging modalities. Transformation parameters associated with the image registration task are determined using a neural ordinary differential equation (ODE) network that comprises multiple layers, each configured to determine a respective gradient update for the transformation parameters based on a current state of the transformation parameters received by the layer. The gradient updates determined by the multiple ODE layers are then integrated and applied to initial values of the transformation parameters to obtain final parameters for completing the image registration task. The operations of the ODE network may be facilitated by a feature extraction network pre-trained to determine content features shared by the input images. The input images may be resampled into different scales, which are then processed by the ODE network iteratively to improve the efficiency of the ODE operations.

US Patent:

20230014745, Jan 19, 2023

Filed:

Jul 16, 2021

Appl. No.:

17/378465

Inventors:

- Shanghai, CN
Shanhui Sun - Lexington MA, US
Xiao Chen - Lexington MA, US
Terrence Chen - Lexington MA, US

Assignee:

Shanghai United Imaging Intelligence Co., Ltd. - Shanghai

International Classification:

G06T 11/00
G06T 5/50
G06K 9/62
G06N 3/04
G06N 3/08
A61B 5/055
A61B 5/00

Abstract:

Disclosed herein are systems, methods, and instrumentalities associated with reconstructing magnetic resonance (MR) images based on under-sampled MR data. The MR data include 2D or 3D information, and may encompass multiple contrasts and multiple coils. The MR images are reconstructed using deep learning (DL) methods, which may accelerate the scan and/or image generation process. Challenges imposed by the large quantity of the MR data and hardware limitations are overcome by separately reconstructing MR images based on respective subsets of contrasts, coils, and/or readout segments, and then combining the reconstructed MR images to obtain desired multi-contrast results.

US Patent:

20210165064, Jun 3, 2021

Filed:

Oct 1, 2020

Appl. No.:

17/060988

Inventors:

- Shanghai, CN
Xiao Chen - Cambridge MA, US
Shanhui Sun - Cambridge MA, US
Terrence Chen - Cambridge MA, US

Assignee:

Shanghai United Imaging Intelligence Co., LTD. - Shanghai

International Classification:

G01R 33/563
G06N 3/08
G01R 33/36

Abstract:

A method includes using fully sampled retro cine data to train an algorithm, and applying the trained algorithm to real time MR cine data to yield reconstructed MR images.

US Patent:

20210157464, May 27, 2021

Filed:

Sep 8, 2020

Appl. No.:

17/014609

Inventors:

- Shanghai, CN
Xiao Chen - Lexington MA, US
Shanhui Sun - Lexington MA, US
Terrence Chen - Lexington MA, US

Assignee:

SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD. - Shanghai

International Classification:

G06F 3/0485
G06T 13/80
G06T 11/20
G06T 19/00
G16H 30/40
G16H 50/50
G16H 50/30

Abstract:

Cardiac features captured via an MRI scan may be tracked and analyzed using a system described herein. The system may receive a plurality of MR slices derived via the MRI scan and present the MR slices in a manner that allows a user to navigate through the MR slices. Responsive to the user selecting one of the MR slices, contextual and global cardiac information associated with the selected slice may be determined and displayed. The contextual information may correspond to the selected slice and the global information may encompass information gathered across the plurality of MR slices. A user may have the ability to navigate between the different display areas and evaluate the health of the heart with both local and global perspectives.

US Patent:

20190248790, Aug 15, 2019

Filed:

Feb 8, 2019

Appl. No.:

16/270728

Inventors:

- Framingham MA, US
Shuhao WEN - Andover MA, US
Changfu CHENG - Northborough MA, US
Xiao CHEN - Princeton NJ, US
Gao SHANG - Doylestown PA, US

Assignee:

X-Cutag Therapeutics, Inc. - Framingham MA

International Classification:

C07D 471/08

Abstract:

Novel deuterium-containing chemical compounds are provided. They are glucosylceramide (GSC) synthase inhibitors and are useful for treating various types of lysosomal storage diseases including Fabry's disease, Gaucher's disease and Parkinson's disease, or related diseases and conditions. Also described are pharmaceutical compositions, and methods of preparation and use thereof.

US Patent:

20170343635, Nov 30, 2017

Filed:

May 26, 2017

Appl. No.:

15/606882

Inventors:

- Charlottesville VA, US
- Boston MA, US
Li Zhao - Boston MA, US
Xiao Chen - Charlottesville VA, US

International Classification:

G01R 33/56
A61B 5/00
A61B 5/026

Abstract:

Some aspects of the present disclosure relate a method for magnetic resonance imaging, which can include acquiring, by applying an imaging pulse sequence, magnetic resonance data associated with a region of interest of a subject. The imaging pulse sequence can include a plurality of RF pulses configured to generate a desired image contrast, and an outer-volume suppression (OVS) module to attenuate the signal outside the region of interest. The method can further include reconstructing, from the acquired magnetic resonance data, a plurality of reduced field of view (rFOV) magnetic resonance images corresponding to the region of interest.