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: 9396562
    Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system having a plurality of coils includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, determining a respective coil sensitivity profile for the region for each coil of the plurality of coils, and iteratively reconstructing dynamic images for the region from the k-space scan data via an optimization of a minimization problem. The minimization problem is based on the determined coil sensitivity profiles and redundant Haar wavelet transforms of the dynamic images.
    Type: Grant
    Filed: September 25, 2013
    Date of Patent: July 19, 2016
    Assignee: Siemens Aktiengesellschaft
    Inventors: Alban Lefebvre, Jun Liu, Edgar Mueller, Mariappan S. Nadar, Michaela Schmidt, Michael Zenge, Qiu Wang
  • Publication number: 20160178720
    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: Application
    Filed: December 17, 2014
    Publication date: June 23, 2016
    Inventors: Boris Mailhe, Qiu Wang, Johannes Flake, Mariappan S. Nadar, Laszlo Lazar, Yuanhsi Chen
  • Publication number: 20160146915
    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: Application
    Filed: November 25, 2014
    Publication date: May 26, 2016
    Inventors: Boris Mailhe, Mariappan S. Nadar, Aurélien Stalder, Qiu Wang, Michael Zenge
  • Patent number: 9286662
    Abstract: A computer-implemented method of enhancing images includes receiving one or more observed images, identifying wavelet bases, and determining a downsampling operator. A noise variance value is estimated and used to select a tuning parameter. A blurring kernel is estimated based on one or more system calibration parameter and used to determine a low-pass blurring filter operator. A cost function is created which generates one or more denoised super-resolution images based on the observed images and the plurality of wavelet bases. The cost function may include, for example, a sparsity inducing norm applied to the plurality of wavelet bases (with the tuning parameter applied to the sparsity inducing norm) and a constraint requiring the one or more denoised super-resolution images to be equal to a result of applying the low-pass blurring filter operator and the downsampling operator to the one or more denoised super-resolution images.
    Type: Grant
    Filed: September 8, 2014
    Date of Patent: March 15, 2016
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Qiu Wang, Ozgur Balkan, Boris Mailhe, Mariappan S. Nadar
  • Patent number: 9097780
    Abstract: 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: Grant
    Filed: October 15, 2013
    Date of Patent: August 4, 2015
    Assignee: Siemens Aktiengesellschaft
    Inventors: Jun Liu, Zhili Yang, Mariappan S. Nadar, Nirmal Janardhanan, Michael Zenge, Edgar Mueller, Qiu Wang, Axel Loewe
  • Patent number: 9075476
    Abstract: A sensing method for detecting a sensing array is provided. The sensing array comprises at least one sensing row. The sensing method comprises the steps of: obtaining a sensing curve according to a plurality of sensing data signals extracting from the sensing row; determining whether a curve feature of the sensing curve matches one of a plurality of predetermined curve features; and obtaining a touch condition of the sensing row according to the determination result related to the sensing row. A sensing device is further provided. The present invention can reduce the impact of interference noise on detection of a sensing array, and enhance accuracy of detecting a touch condition of the sensing array.
    Type: Grant
    Filed: February 9, 2012
    Date of Patent: July 7, 2015
    Assignee: TPK TOUCH SOLUTIONS (XIAMEN) INC.
    Inventors: Wan-Qiu Wang, Ding Chu
  • Publication number: 20150108978
    Abstract: A computer-implemented method of selecting a Magnetic Resonance Imaging (MRI) sampling strategy includes selecting a base variable-density sampling pattern and determining a scan time associated with the base variable-density sampling pattern. A modified variable-density sampling pattern is created by modifying one or more parameters of the base variable-density sampling pattern to maximize a sampled k-space area without increasing the scan time. Next, a scan is performed on an object of interest using the modified variable-density sampling pattern to obtain a sparse MRI dataset. Then a sparse reconstruction process is applied to the sparse MRI dataset to yield an image of the object of interest.
    Type: Application
    Filed: October 16, 2014
    Publication date: April 23, 2015
    Inventors: Qiu Wang, Michael Zenge, Edgar Mueller, Mariappan S. Nadar
  • Publication number: 20150086131
    Abstract: A computer-implemented method of enhancing images includes receiving one or more observed images, identifying wavelet bases, and determining a downsampling operator. A noise variance value is estimated and used to select a tuning parameter. A blurring kernel is estimated based on one or more system calibration parameter and used to determine a low-pass blurring filter operator. A cost function is created which generates one or more denoised super-resolution images based on the observed images and the plurality of wavelet bases. The cost function may include, for example, a sparsity inducing norm applied to the plurality of wavelet bases (with the tuning parameter applied to the sparsity inducing norm) and a constraint requiring the one or more denoised super-resolution images to be equal to a result of applying the low-pass blurring filter operator and the downsampling operator to the one or more denoised super-resolution images.
    Type: Application
    Filed: September 8, 2014
    Publication date: March 26, 2015
    Inventors: Qiu Wang, Ozgur Balkan, Boris Mailhe, Mariappan S. Nadar
  • Publication number: 20150063687
    Abstract: A computer-implemented method of detecting a foreground data in an image sequence using a dual sparse model framework includes creating an image matrix based on a continuous image sequence and initializing three matrices: a background matrix, a foreground matrix, and a coefficient matrix. Next, a subspace recovery process is performed over multiple iterations. This process includes updating the background matrix based on the image matrix and the foreground matrix; minimizing an L?1 norm of the coefficient matrix using a first linearized soft-thresholding process; and minimizing an L?1 norm of the foreground matrix using a second linearized soft-thresholding process. Then, background images and foreground images are generated based on the background and foreground matrices, respectively.
    Type: Application
    Filed: August 26, 2014
    Publication date: March 5, 2015
    Inventors: Mariappan S. Nadar, Xiao Bian, Qiu Wang, Hasan Ertan Cetingul, Hamid Krim, Lucas Plaetevoet
  • Publication number: 20150054505
    Abstract: Magnetic resonance imaging uses regularized SENSE reconstruction for a reduced field of view, but minimizes folding artifacts. A reference scan is oversampled relative to the reduced field of view. The oversampling provides coil sensitivity information for a region greater than the reduced field of view. The reconstruction of the object for the reduced field of view using the coil sensitivities for the larger region may have fewer folding artifacts.
    Type: Application
    Filed: August 13, 2014
    Publication date: February 26, 2015
    Inventors: Qiu Wang, Derya Gol, Michael Zenge, Marcel Dominik Nickel, Edgar Müller, Mariappan S. Nadar
  • Patent number: 8963859
    Abstract: The present disclosure relates to a touch panel technology, and especially to an edge grip detection method of a touch panel and a device using the same. The edge grip detection method comprises: determining whether an edge area state has changed; eliminating a first edge signal when the edge area state does not change; and updating the first edge signal as next standard signal when the edge area state changes. The edge grip detection method and an edge grip detecting device of the touch panel opportunely detect and dynamically update state and data of the edge area, thereby eliminating edge grip signals from touch signals of the touch panel to obtain normal touch signals. Thus, impact on the normal operation of the touch panel by edge grips is reduced.
    Type: Grant
    Filed: April 1, 2012
    Date of Patent: February 24, 2015
    Assignee: TPK Touch Solutions (Xiamen) Inc.
    Inventor: Wan-Qiu Wang
  • Patent number: 8866768
    Abstract: A touch tracking method for the touch screen is provided. A touch tracking method for a touch track on a touch screen comprises the steps of: defining a touch track function by information of detected touch points; calculating a predicted touch point by said touch track function; determining if a next detected touch point is located in a preset scope of said predicted touch point; and if the next detected touch point is located in the preset scope of the predicted touch point, outputting the predicted touch point as an output touch point. A touch tracking device for a touch track on a touch screen is also provided. The touch tracking device for the touch screen can, not only determine relationship between detected touch points at different detected times to draw the touch tracks, but can also make the touch track smooth and help eliminate noise point effectively.
    Type: Grant
    Filed: February 7, 2012
    Date of Patent: October 21, 2014
    Assignee: TPK Touch Solutions (Xiamen) Inc.
    Inventor: Wan-Qiu Wang
  • Publication number: 20140133724
    Abstract: 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: Application
    Filed: October 15, 2013
    Publication date: May 15, 2014
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Jun Liu, Zhili Yang, Mariappan S. Nadar, Nirmal Janardhanan, Michael Zenge, Edgar Mueller, Qiu Wang, Axel Loewe
  • Publication number: 20140126796
    Abstract: 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: Application
    Filed: October 29, 2013
    Publication date: May 8, 2014
    Applicant: SIEMENS CORPORATION
    Inventors: Nicolas Chesneau, Nirmal Janardhanan, Jun Liu, Mariappan S. Nadar, Qiu Wang, Zhili Yang
  • Publication number: 20140097845
    Abstract: A computer-implemented method for learning a tight frame includes acquiring undersampled k-space data over a time period using an interleaved process. An average of the undersampled k-space data is determined and a reference image is generated based on the average of the undersampled k-space data. Next, a tight frame operator is determined based on the reference image. Then, a reconstructed image data is generated from the undersampled k-space data via a sparse reconstruction which utilizes the tight frame operator.
    Type: Application
    Filed: September 16, 2013
    Publication date: April 10, 2014
    Applicants: SIEMENS AKTIENGESELLSCHAFT, SIEMENS CORPORATION
    Inventors: Jun Liu, Qiu Wang, Mariappan Nadar, Michael Zenge, Edgar Mueller
  • Publication number: 20140086469
    Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system having a plurality of coils includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, determining a respective coil sensitivity profile for the region for each coil of the plurality of coils, and iteratively reconstructing dynamic images for the region from the k-space scan data via an optimization of a minimization problem. The minimization problem is based on the determined coil sensitivity profiles and redundant Haar wavelet transforms of the dynamic images.
    Type: Application
    Filed: September 25, 2013
    Publication date: March 27, 2014
    Applicants: SIEMENS AKTIENGESELLSCHAFT, SIEMENS CORPORATION
    Inventors: Alban Lefebvre, Jun Liu, Edgar Mueller, Mariappan S. Nadar, Michaela Schmidt, Michael Zenge, Qiu Wang
  • Publication number: 20140088899
    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 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: Application
    Filed: September 27, 2013
    Publication date: March 27, 2014
    Applicants: SIEMENS AKTIENGESELLSCHAFT, SIEMENS CORPORATION
    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: 8593803
    Abstract: A mounting apparatus for mounting a data storage device, includes a drive bracket and a slider mounted on the data storage device. The drive bracket includes a side piece in which a sliding groove is located. The sliding groove includes a first end and a second end. The second end is adjacent to an edge of the side piece. The first end is located on the side piece. A guiding surface is located at the first end. The guiding surface inclines from an inner surface of the side piece to an outer surface of the side piece. The slider slides in the sliding groove from the second end to the first end. The slider abuts the guiding surface. The guiding surface retains the slider at the first end.
    Type: Grant
    Filed: July 5, 2011
    Date of Patent: November 26, 2013
    Assignees: Hong Fu Jin Precision Industry (ShenZhen) Co., Ltd., Hon Hai Precision Industry Co., Ltd.
    Inventors: Xue-Jiao Guo, Tai-Bao Wu, Shu-Qiu Wang, Li-Fu Xu
  • Publication number: 20130294024
    Abstract: A data storage device assembly includes a bracket and a data storage device. The bracket includes a top plate and a bottom plate. The top plate and the bottom plate each defines a first engaging slot. A first positioning post is located on the bottom plate. The data storage device includes a top wall, a bottom wall, a first sidewall and a second sidewall. A latch portion is located on each of the first sidewall and the second sidewall. A first distance is defined between the latch portion and the top wall. A second distance is defined between the latch portion and the bottom wall. The first distance is greater than the second distance. When the storage is positioned in portrait orientation, each latch portion is slidably engaged in each first engaging slot, and the first positioning post abuts against the bottom wall.
    Type: Application
    Filed: February 4, 2013
    Publication date: November 7, 2013
    Applicants: HON HAI PRECISION INDUSTRY CO., LTD., HONG FU JIN PRECISION INDUSTRY (WUHAN) CO., LTD.
    Inventors: SHU-QIU WANG, HENG TAO, XUE-JIAO GUO, SONG-LING YU
  • Publication number: 20130289912
    Abstract: 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: Application
    Filed: February 28, 2013
    Publication date: October 31, 2013
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    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