Patents by Inventor Zhili Yang
Zhili Yang 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).
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Publication number: 20240184432Abstract: Systems and methods for managing a presentation of a dynamic profile photo are provided. In particular, a server may receive contextual information associated with one or more users. The server may determine that the contextual information is consistent with a predetermined contextual action. In some examples, the server may identify a dynamic profile photo associated with the predetermined contextual information; and present, in response to the determination that the contextual information is consistent with the predetermined contextual action, the dynamic profile photo to the one or more users.Type: ApplicationFiled: February 8, 2024Publication date: June 6, 2024Inventors: Dan Noskin, Jiacheng Yang, Bo Hu, Shouhan Gao, Vishnuvardhan Tanguturi, Yunjiu Li, Yaxi Gao, Zhili Chen, Yiheng Zhu, Yuxi Zhang, Chaoran Huang
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Publication number: 20240125826Abstract: A method for detecting a topological structure of a grounding grid under extremely cold condition, includes the following steps: in a substation in an extremely cold area, determining a measuring area S on a ground surface of a grounding grid according to the positions of branches and nodes of the grounding grid in a selected area, acquiring dynamic current values of the branches and nodes through a current sensor based on TMR tunnel magnetoresistance, and then indirectly acquiring the magnetic induction intensity of the measuring area S through conversion; calculating moduli of first to third derivatives of magnetic induction intensities; and determining specific positions and laying depths of the branches of the grounding grid according to peak distances between main lobe peaks and side peaks between strong peaks of the moduli. According to the method, the calculation amount is greatly reduced, and the detection method has strong anti-interference.Type: ApplicationFiled: October 10, 2022Publication date: April 18, 2024Applicant: CHONGQING UNIVERSITYInventors: Ruotong MING, Fan YANG, Zhili LI, Tian TAN, Jihua GE, Hui JIANG, Zikang YANG
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Patent number: 10914798Abstract: 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: GrantFiled: September 27, 2013Date of Patent: February 9, 2021Assignee: Siemens Healthcare GmbHInventors: 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
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Patent number: 9482732Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.Type: GrantFiled: October 29, 2013Date of Patent: November 1, 2016Inventors: Nicolas Chesneau, Nirmal Janardhanan, Jun Liu, Mariappan S. Nadar, Qiu Wang, Zhili Yang
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Patent number: 9097780Abstract: A computer-implemented method for reconstruction of a magnetic resonance image includes acquiring a first incomplete k-space data set comprising a plurality of first k-space lines spaced according to an acceleration factor and one or more calibration lines. A parallel imaging reconstruction technique is applied to the first incomplete k-space data to determine a plurality of second k-space lines not included in the first incomplete k-space data set, thereby yielding a second incomplete k-space data set. Then, the parallel imaging reconstruction technique is applied to the second incomplete k-space data to determine a plurality of third k-space lines not included in the second incomplete k-space data, thereby yielding a complete k-space data set.Type: GrantFiled: October 15, 2013Date of Patent: August 4, 2015Assignee: Siemens AktiengesellschaftInventors: Jun Liu, Zhili Yang, Mariappan S. Nadar, Nirmal Janardhanan, Michael Zenge, Edgar Mueller, Qiu Wang, Axel Loewe
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Publication number: 20140133724Abstract: A computer-implemented method for reconstruction of a magnetic resonance image includes acquiring a first incomplete k-space data set comprising a plurality of first k-space lines spaced according to an acceleration factor and one or more calibration lines. A parallel imaging reconstruction technique is applied to the first incomplete k-space data to determine a plurality of second k-space lines not included in the first incomplete k-space data set, thereby yielding a second incomplete k-space data set. Then, the parallel imaging reconstruction technique is applied to the second incomplete k-space data to determine a plurality of third k-space lines not included in the second incomplete k-space data, thereby yielding a complete k-space data set.Type: ApplicationFiled: October 15, 2013Publication date: May 15, 2014Applicants: Siemens Aktiengesellschaft, Siemens CorporationInventors: Jun Liu, Zhili Yang, Mariappan S. Nadar, Nirmal Janardhanan, Michael Zenge, Edgar Mueller, Qiu Wang, Axel Loewe
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Publication number: 20140126796Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.Type: ApplicationFiled: October 29, 2013Publication date: May 8, 2014Applicant: SIEMENS CORPORATIONInventors: Nicolas Chesneau, Nirmal Janardhanan, Jun Liu, Mariappan S. Nadar, Qiu Wang, Zhili Yang
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Publication number: 20140088899Abstract: 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 S 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: ApplicationFiled: September 27, 2013Publication date: March 27, 2014Applicants: SIEMENS AKTIENGESELLSCHAFT, SIEMENS CORPORATIONInventors: 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
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Publication number: 20130289912Abstract: A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing (61) a matrix A of sliding blocks of a 2D image of coil calibration data, calculating (62) a left singular matrix V? from a singular value decomposition of A corresponding to ? leading singular values, calculating (63) P=V?V?H, calculating (64) a matrix S that is an inverse Fourier transform of a zero-padded matrix P, and solving (65) 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: ApplicationFiled: February 28, 2013Publication date: October 31, 2013Applicants: Siemens Aktiengesellschaft, Siemens CorporationInventors: 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