Patents by Inventor Qiu Wang

Qiu Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11181203
    Abstract: A portable water path switching device includes a valve body, a water diversion member, and a switching assembly. The valve body is provided with a valve cavity, a water inlet communicating with the valve cavity, and at least two water outlets. The water diversion member is arranged in the valve cavity and at least provided with first water diversion holes and second water diversion holes. The first water diversion holes communicate with the first water outlet, and the second water diversion holes communicate with the second water outlet. The switching assembly is movably connected to the valve body and includes seal balls. When the switching assembly is driven, the seal balls switchably block the first water diversion holes and the second water diversion holes, so that water flow of the water inlet switchably flows to the second water outlet and the first water outlet.
    Type: Grant
    Filed: September 24, 2020
    Date of Patent: November 23, 2021
    Assignee: XIAMEN KEEKOE SANITARY WARE CO., LTD
    Inventors: Qiu Wang, Chao Wang
  • Patent number: 11150952
    Abstract: A deployment specification for implementing a requested cloud service is received by a server. A resource pool is queried by the server for available resources required by the deployment specifications. The resource pool includes a plurality of pre-configured resources for implementing one or more cloud services. A first resource required by the deployment specification is determined to be available within the resource pool. First resource metadata associated with the first resource is requested from a database. The resource metadata includes a resource identifier and a resource type of the first resource. The resource metadata associated with the first resource is received from the database. The first resource is deployed from the resource pool according to the deployment specification to implement the requested cloud service.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: October 19, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Xue Xiang Cui, Bin Gu, Jian Qiu Wang, Gong Zhang, WuMi Zhong
  • Patent number: 10914798
    Abstract: A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing a matrix A of sliding blocks of a 3D image of coil calibration data, calculating a left singular matrix V? from a singular value decomposition of A corresponding to ? leading singular values, calculating P=V?V?H, calculating a matrix that is an inverse Fourier transform of a zero-padded matrix P, and solving MHcr=(Sr)Hcr for cr, where cr is a vector of coil sensitivity maps for all coils at spatial location r, and M = ( ( 1 1 … 1 0 0 … 0 … … … 0 0 … 0 ) ? ( 0 0 … 0 1 1 … 1 … … … 0 0 … 0 ) ? ? … ? ? ( 0 0 … 0 0 0 … 0 … … … 1 1 … 1 ) ) .
    Type: Grant
    Filed: September 27, 2013
    Date of Patent: February 9, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Jun Liu, Hui Xue, Marcel Dominik Nickel, Ti-chiun Chang, Mariappan S. Nadar, Alban Lefebvre, Edgar Mueller, Qiu Wang, Zhili Yang, Nirmal Janardhanan, Michael Zenge
  • Patent number: 10663549
    Abstract: A method for acquiring a three-dimensional image volume using a magnetic resonance imaging device includes performing a multi-slice or multi-slab acquisition process to acquire a plurality of slices or three-dimensional slabs corresponding to an imaged object. Each respective slice or three-dimensional slab included in the plurality of slices or three-dimensional slabs comprises k-space data. An iterative compressed-sensing reconstruction process is applied to jointly reconstruct the plurality of three-dimensional slabs as a single consistent volume. The iterative compressed-sensing reconstruction process solves a cost function comprising a summation of individual data fidelity terms corresponding to the plurality of three-dimensional slabs.
    Type: Grant
    Filed: November 25, 2014
    Date of Patent: May 26, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Boris Mailhe, Mariappan S. Nadar, Aurélien Stalder, Qiu Wang, Michael Zenge
  • Patent number: 10627470
    Abstract: A learning-based magnetic resonance fingerprinting (MRF) reconstruction method for reconstructing an MR image of a tissue space in an MR scan subject for a particular MR sequence is disclosed. The method involves using a machine-learning algorithm that has been trained to generate a set of tissue parameters from acquired MR signal evolution without using a dictionary or dictionary matching.
    Type: Grant
    Filed: December 8, 2016
    Date of Patent: April 21, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Xiao Chen, Boris Mailhe, Qiu Wang, Shaohua Kevin Zhou, Yefeng Zheng, Xiaoguang Lu, Puneet Sharma, Benjamin L. Odry, Bogdan Georgescu, Mariappan S. Nadar
  • Patent number: 10592290
    Abstract: A deployment specification for implementing a requested cloud service is received by a server. A resource pool is queried by the server for available resources required by the deployment specifications. The resource pool includes a plurality of pre-configured resources for implementing one or more cloud services. A first resource required by the deployment specification is determined to be available within the resource pool. First resource metadata associated with the first resource is requested from a database. The resource metadata includes a resource identifier and a resource type of the first resource. The resource metadata associated with the first resource is received from the database. The first resource is deployed from the resource pool according to the deployment specification to implement the requested cloud service.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: March 17, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Xue Xiang Cui, Bin Gu, Jian Qiu Wang, Gong Zhang, WuMi Zhong
  • Publication number: 20190370075
    Abstract: A deployment specification for implementing a requested cloud service is received by a server. A resource pool is queried by the server for available resources required by the deployment specifications. The resource pool includes a plurality of pre-configured resources for implementing one or more cloud services. A first resource required by the deployment specification is determined to be available within the resource pool. First resource metadata associated with the first resource is requested from a database. The resource metadata includes a resource identifier and a resource type of the first resource. The resource metadata associated with the first resource is received from the database. The first resource is deployed from the resource pool according to the deployment specification to implement the requested cloud service.
    Type: Application
    Filed: July 15, 2019
    Publication date: December 5, 2019
    Applicant: International Business Machines Corporation
    Inventors: Xue Xiang Cui, Bin Gu, Jian Qiu Wang, Gong Zhang, WuMi Zhong
  • Publication number: 20190277925
    Abstract: This disclosure relates to hyperpolarized probes for use in magnetic resonance studies of biological systems.
    Type: Application
    Filed: March 11, 2019
    Publication date: September 12, 2019
    Inventor: Qiu Wang
  • Patent number: 10360697
    Abstract: A method for performing Computed Tomography (CT) reconstruction includes acquiring a sparse measurement matrix using a CT scanner and applying a reconstruction process over a number of iterations to reconstruct image data from the sparse measurement matrix. The reconstruction process performed during each respective iteration includes generating a random view subset and determining a portion of the sparse measurement matrix corresponding to the random view subset. The reconstruction process further includes performing a stochastic gradient descent on the portion of the sparse measurement matrix to yield an image, applying a proximal total variation regularization to the image, and adjusting a step size associated with the stochastic gradient descent.
    Type: Grant
    Filed: September 2, 2015
    Date of Patent: July 23, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Boris Mailhe, Johannes Flake, Qiu Wang, Mariappan S. Nadar
  • Publication number: 20190213044
    Abstract: A deployment specification for implementing a requested cloud service is received by a server. A resource pool is queried by the server for available resources required by the deployment specifications. The resource pool includes a plurality of pre-configured resources for implementing one or more cloud services. A first resource required by the deployment specification is determined to be available within the resource pool. First resource metadata associated with the first resource is requested from a database. The resource metadata includes a resource identifier and a resource type of the first resource. The resource metadata associated with the first resource is received from the database. The first resource is deployed from the resource pool according to the deployment specification to implement the requested cloud service.
    Type: Application
    Filed: January 10, 2018
    Publication date: July 11, 2019
    Applicant: International Business Machines Corporation
    Inventors: Xue Xiang Cui, Bin Gu, Jian Qiu Wang, Gong Zhang, WuMi Zhong
  • Patent number: 10267883
    Abstract: A method comprises acquiring navigation data during navigation scans at each of a plurality of points in time. A plurality of magnetic resonance imaging (MRI) k-space data corresponding to an imaged object are acquired at the plurality of points in time using Cartesian sampling, the k-space data including at least two spatial dimensions, a time. The respective motion state for each of the k-space data are computed based on the navigation data. At least one image is reconstructed from the plurality MRI k-space data using k-space data corresponding to at least two motion states and the same point in time to reconstruct the at least one image.
    Type: Grant
    Filed: November 28, 2016
    Date of Patent: April 23, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Xiao Chen, Mariappan S. Nadar, Marcel Dominik Nickel, Boris Mailhe, Qiu Wang
  • Patent number: 10175321
    Abstract: Disclosed herein is a method obtaining a magnetic resonance image of an object, comprising obtaining a first time evolution signal from a magnetic resonance signal from the object; performing a search of a compressed dictionary of magnetic resonance fingerprints to select a magnetic resonance fingerprint representative of the first time evolution signal, wherein the selected magnetic resonance fingerprint is an exact or approximate nearest neighbor match to the first time evolution signal; obtaining a magnetic resonance parameter associated with the selected fingerprint; generating the magnetic resonance image of the object from the obtained magnetic resonance parameter; and performing a second search of the compressed dictionary using the magnetic resonance image.
    Type: Grant
    Filed: October 24, 2016
    Date of Patent: January 8, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Xiao Chen, Mariappan S. Nadar, Christopher Cline, Boris Mailhe, Qiu Wang
  • Patent number: 10169027
    Abstract: A method, and associated computer system and computer program product. One or more processors of a computer system receive an upgrade request to upgrade a base operating system (OS) of a virtual machine (VM). In response to receiving the upgrade request, the one or more processors store metadata of the VM into a resource registry. The one or more processors load a new version of the base OS onto the VM. The one or more processors retrieve, from the resource registry, the stored metadata for configuring the VM.
    Type: Grant
    Filed: May 5, 2016
    Date of Patent: January 1, 2019
    Assignee: International Business Machines Corporation
    Inventors: Chuan Ran, Jian Qiu Wang, Yang Yang
  • Patent number: 10145924
    Abstract: A method for magnetic resonance (MR) imaging is provided. A first sampling mask is provided for sampling along a first set of parallel lines extending in a first direction in k-space. A second sampling mask is provided for sampling along a second set of parallel lines extending in a second direction in k-space. The second direction is orthogonal to the first direction. A first set of MR k-space data is sampled using an MR scanner, by scanning a subject in the first direction using the first sampling mask. A second set of MR k-space data is sampled using the MR scanner, by scanning the subject in the second direction using the second sampling mask. An MR image is reconstructed from a combined set of MR k-space data including the first set of MR k-space data and the second set of MR k-space data.
    Type: Grant
    Filed: January 13, 2017
    Date of Patent: December 4, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Julia Traechtler, Qiu Wang, Boris Mailhe, Xiao Chen, Marcel Dominik Nickel, Mariappan S. Nadar
  • Patent number: 10068328
    Abstract: A method for sparse iterative phase correction for Magnetic Resonance (MR) partial Fourier reconstruction includes acquiring a partial Fourier k-space dataset using an MR scanner and estimating, by a control computer, a coil sensitivity map associated with the MR scanner from fully sampled k-space center. The control computer extracts a symmetrically sampled k-space center dataset from the partial Fourier k-space dataset and determines a low-resolution image based on the symmetrically sampled k-space center dataset and the coil sensitivity map. The control computer also determines phase corresponding to the low-resolution image. An iterative reconstruction process may then be applied to generate an image based on the partial Fourier k-space dataset. This iterative reconstruction process applies a Fast Iterative Shrinkage Thresholding Algorithm (FISTA) with phase correction based on the phase corresponding to the low-resolution image.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: September 4, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Qiu Wang, Esther Raithel
  • Patent number: 10061004
    Abstract: A computer-implemented method for reconstructing magnetic resonance images using a parallel computing platform comprising a host unit and a graphical processing device includes receiving a plurality of coil data sets from a magnetic resonance imaging system, each respective coil data set comprising scanner data and a coil sensitivity map associated with a distinct coil included in the magnetic resonance imaging system. An iterative compressed-sensing reconstruction process is applied to reconstruct an image based on the plurality of coil data sets.
    Type: Grant
    Filed: December 17, 2014
    Date of Patent: August 28, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Boris Mailhe, Qiu Wang, Johannes Flake, Mariappan S. Nadar, Laszlo Lazar, Yuanhsi Chen
  • Patent number: 10043243
    Abstract: A computer-implemented method for denoising image data includes a computer system receiving an input image comprising noisy image data and denoising the input image using a deep multi-scale network comprising a plurality of multi-scale networks sequentially connected. Each respective multi-scale network performs a denoising process which includes dividing the input image into a plurality of image patches and denoising those image patches over multiple levels of decomposition using a threshold-based denoising process. The threshold-based denoising process denoises each respective image patch using a threshold which is scaled according to an estimation of noise present in the respective image patch. The noising process further comprises the assembly of a denoised image by averaging over the image patches.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: August 7, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Yevgen Matviychuk, Boris Mailhe, Xiao Chen, Qiu Wang, Mariappan S. Nadar
  • Publication number: 20180203085
    Abstract: A method for magnetic resonance (MR) imaging is provided. A first sampling mask is provided for sampling along a first set of parallel lines extending in a first direction in k-space. A second sampling mask is provided for sampling along a second set of parallel lines extending in a second direction in k-space. The second direction is orthogonal to the first direction. A first set of MR k-space data is sampled using an MR scanner, by scanning a subject in the first direction using the first sampling mask. A second set of MR k-space data is sampled using the MR scanner, by scanning the subject in the second direction using the second sampling mask. An MR image is reconstructed from a combined set of MR k-space data including the first set of MR k-space data and the second set of MR k-space data.
    Type: Application
    Filed: January 13, 2017
    Publication date: July 19, 2018
    Inventors: Julia Traechtler, Qiu Wang, Boris Mailhe, Xiao Chen, Marcel Dominik Nickel, Mariappan S. Nadar
  • Patent number: D892268
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: August 4, 2020
    Assignee: XIAMEN KEEKOE SANITARY WARE CO., LTD
    Inventors: Qiu Wang, Shourong Hu
  • Patent number: D901633
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: November 10, 2020
    Assignee: XIAMEN KEEKOE SANITARY WARE CO., LTD
    Inventors: Qiu Wang, Shourong Hu