- Shanghai, CN Qi LIU - Houston TX, US Yongquan YE - Houston TX, US Jian XU - Houston TX, US Zhongqi ZHANG - Houston TX, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
A61B 5/055 G01R 33/48 G01R 33/561
Abstract:
A method may include obtaining a plurality of imaging signals collected by applying a wave encoding gradient to a region of interest (ROI) of a subject. The method may also include obtaining a plurality of auxiliary signals associated with the ROI. The method may also include obtaining a point spread function corresponding to the wave encoding gradient. The method may also include determining, based on the plurality of auxiliary signals, temporal information relating to at least one temporal dimension of the ROI. The method may also include determining, based on the plurality of auxiliary signals, the plurality of imaging signals, and the point spread function, spatial information relating to at least one spatial dimension of the ROI. The method may also include generating at least one target image of the ROI based on the temporal information and the spatial information.
A method for medical imaging may include obtaining a plurality of successive images of a region of interest (ROI) including at least a portion of an object's heart. The plurality of successive images may be based on imaging data acquired from the ROI by a scanner without electrocardiography (ECG) gating. The plurality of successive images may be related to one or more cardiac cycles of the object's heart. The method may also include automatically determining, in the plurality of successive images, target images that correspond to at least one of the one or more cardiac cycles of the object's heart.
Systems And Methods For Magnetic Resonance Image Reconstruction
- Shanghai, CN Yu DING - Houston TX, US Qi LIU - Houston TX, US Jian XU - Houston TX, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
G06T 7/00 G01R 33/56 G01R 33/48
Abstract:
A method may include acquiring MR signals by an MR scanner and generating image data in a k-space according to the MR signals. The method may also include classifying the image data into a plurality of phases. Each of the plurality of phases may have a first count of spokes. A spoke may be defined by a trajectory for filling the k-space. The method may also include classifying the plurality of phases of the image data into a plurality of groups and determining reference images based on the plurality of groups. Each of the reference images may correspond to the at least one of the phases of the image data. The method may further include reconstructing an image sequence based on the reference images and the plurality of phases of the image data.
In Situ Oil Cleanup And Recovery Using Smart Polymer Integrated Surface Vessels
- Hoboken NJ, US Ronald Besser - New Providence NJ, US Jian Xu - West Lafayette IN, US Wei Xu - Farmingdale NY, US Brendan Englot - New York NY, US Chang-Hwan Choi - Tenafly NJ, US
Assignee:
THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY - Hoboken NJ
International Classification:
C02F 1/40 C02F 1/28
Abstract:
Smart membranes are integrated into a small, unmanned surface vessel to enable the efficient, automated cleanup of oil spills. Such a vessel has the potential to provide a low-cost, modular solution for day-to-day oil-spill cleanup operations, especially in confined aquatic areas (e.g., under piers or in the small spaces between marine vessels and piers). The membranes are provided on the surface of a conveyor belt that circulates the membranes through the surrounding body of water for oil collection, as well as through an internal reduction chamber of the vessel for oil release. The smart membranes are adapted to attract and repel oil in response to low-voltage commands applied across the conveyor belt, using a process that is repeatable for a number of cycles, offering high efficiency and long durability. Segments of the conveyor belt can be electrically isolated from one another to allow disparate electrical potentials to be imposed thereon.
- Shanghai, CN Qi LIU - Houston TX, US Jian XU - Houston TX, US Jingyuan LYU - Houston TX, US Yuan ZHENG - Houston TX, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
A61B 5/055 G01R 33/563 A61B 5/00
Abstract:
The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.
In Situ Oil Cleanup And Recovery Using Smart Polymer Integrated Surface Vessels
- Hoboken NJ, US Jian Xu - West Lafayette IN, US Wei Xu - Farmingdale NY, US Brendan Englot - New York NY, US Chang-Hwan Choi - Tenafly NJ, US
Assignee:
THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY - Hoboken NJ
International Classification:
C02F 1/40 C02F 1/28
Abstract:
Smart membranes () are integrated into a small, unmanned surface vessel () to enable the efficient, automated cleanup of oil spills. Such a vessel () has the potential to provide a low-cost, modular solution for day-to-day oil-spill cleanup operations, especially in confined aquatic areas, such as under piers and in the small spaces between marine vessels and piers. The smart membranes () are provided on the surface of a conveyor belt () that circulates the membranes () through the surrounding body of water () for oil collection, as well as through an internal reduction chamber () of the vessel () for oil release. The smart membranes () are adapted to attract and repel oil () in response to low-voltage commands applied across the conveyor belt (), using a process that is repeatable for a number of cycles, offering high efficiency and long durability (FIG. ).
Systems And Methods For Simultaneous Multi-Slice Imaging
- Shanghai, CN Jian XU - Houston TX, US Qi LIU - Houston TX, US
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. - Shanghai
International Classification:
A61B 6/00 G06N 20/00 G06K 9/62
Abstract:
A method for SMS imaging may include obtaining target k-space data related to a region of interest (ROI) of an object. The method may also include generate, based on the target k-space data using a trained reconstruction model, a plurality of target images each of which corresponds to one of a plurality of target slices of the ROI at one of a plurality of target acquisition periods.
- Houston TX, US Qi LIU - Houston TX, US Zhongqi ZHANG - Shanghai, CN Jian XU - Houston TX, US
Assignee:
UIH America, Inc. - Houston TX
International Classification:
A61B 5/055 G01R 33/563 G01R 33/46 G01R 33/561
Abstract:
An imaging method may include obtaining imaging data associated with a region of interest (ROI) of an object. The imaging data may correspond to a plurality of time-series images of the ROI. The imaging method may also include determining, based on the imaging data, a data set including a spatial basis and one or more temporal bases. The spatial basis may include spatial information of the imaging data. The one or more temporal bases may include temporal information of the imaging data. The imaging method may also include storing, in a storage medium, the spatial basis and the one or more temporal bases.
Resumes
Senior Principal Scientist Head Of Advanced Mr R And D
Uih America
Senior Principal Scientist Head of Advanced Mr R and D
Siemens Healthcare Oct 2012 - Mar 2015
R and D Collaboration Manager
Siemens Healthcare Nov 2004 - Oct 2012
R and D Senior Scientist
Siemens Healthcare Oct 2003 - Oct 2004
R and D Software and Mr Application Engineer
Siemens Healthcare Oct 2001 - Oct 2003
R and D System Integration Engineer
Education:
Polytechnic School of Engeerning of New York University 2012 - 2014
Master of Science, Masters, Computer Science, Engineering, Computer Science and Engineering
New York University - Polytechnic School of Engineering 2012 - 2014
Master of Science, Masters, Computer Science, Engineering, Computer Science and Engineering
New York University - Polytechnic School of Engineering 2009 - 2011
Master of Science, Masters, Computer Engineering
Polytechnic Institute of New York University 2006 - 2008
Masters, Biomedical Engineering, Computer Science, Computer Engineering, Engineering, Computer Science and Engineering
New York University - Polytechnic School of Engineering 2006 - 2008
Master of Science, Masters, Biomedical Engineering
Polytechnic Institute of New York University 2006
Master of Science, Masters
Huazhong University of Science and Technology 1993 - 1997
Bachelor of Engineering, Bachelors, Bachelor of Science, Engineering
Skills:
Biomedical Engineering R&D Medical Imaging Mri Image Processing Signal Processing Digital Imaging Matlab Medical Devices Algorithms Radiology Programming Machine Learning C Imaging 医学影像 信号处理 医疗设备