Patents by Inventor Jingdan Zhang

Jingdan Zhang 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: 10352794
    Abstract: A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix.
    Type: Grant
    Filed: September 17, 2013
    Date of Patent: July 16, 2019
    Assignee: Siemens Energy, Inc.
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, Nancy H. Ulerich, Nam Eung Kim, Nikolai R. Tevs
  • Patent number: 9835596
    Abstract: A method and software system for flaw identification, grouping and sizing for fatigue life assessment for rotors used in turbines and generators. The method includes providing ultrasonic data of a plurality of rotor slices and providing volume reconstruction of the ultrasonic data. The method also includes providing in-slice identification, grouping and sizing of flaw indications in the rotor based on the volume reconstruction. Further, the method includes providing inter-slice identification, grouping and sizing of the flaw indications based on the in-slice flaw indications and providing flaw location and size information. The method can be used in both phased-array and A-scan inspections.
    Type: Grant
    Filed: January 3, 2014
    Date of Patent: December 5, 2017
    Assignee: Siemens Energy, Inc.
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, El Mahjoub Rasselkorde, Waheed A. Abbasi, Steve H. Radke, Chin-Sheng Lee, Ashley L. Lewis
  • Patent number: 9792555
    Abstract: A method for probabilistic fatigue life prediction using nondestructive testing data considering uncertainties from nondestructive examination (NDE) data and fatigue model parameters. The method utilizes uncertainty quantification models for detection, sizing, fatigue model parameters and inputs. A probability of detection model is developed based on a log-linear model coupling an actual flaw size with a nondestructive examination (NDE) reported size. A distribution of the actual flaw size is derived for both NDE data without flaw indications and NDE data with flaw indications by using probabilistic modeling and Bayes theorem. A turbine rotor example with real world NDE inspection data is presented to demonstrate the overall methodology.
    Type: Grant
    Filed: December 16, 2013
    Date of Patent: October 17, 2017
    Assignee: Siemens Energy, Inc.
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, Kai Kadau, Yan Guo, El Mahjoub Rasselkorde, Waheed A. Abbasi, Chin-Sheng Lee, Ashley L. Lewis, Steve H. Radke
  • Patent number: 9658192
    Abstract: In a general methodology for insulation defect identification in a generator core, a Chattock coil is used to measure magnetic potential difference between teeth. Physical knowledge and empirical knowledge is combined in a model to predict insulation damage location and severity. Measurements are taken at multiple excitation frequencies to solve for multiple characteristics of the defect.
    Type: Grant
    Filed: January 16, 2013
    Date of Patent: May 23, 2017
    Assignees: Siemens Corporation, Siemens Energy, Inc.
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou, Mark W. Fischer, Waheed A. Abbasi, Scott A. Karstetter, Christopher John William Adams
  • Patent number: 9639637
    Abstract: A method for predicting fatigue crack growth in materials includes providing a prior distribution obtained using response measures from one or more target components using a fatigue crack growth model as a constraint function, receiving new crack length measurements, providing a posterior distribution obtained using the new crack length measurements, and sampling the posterior distribution to obtain crack length measurement predictions.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: May 2, 2017
    Assignee: Siemens Aktiengesellschaft
    Inventors: Xuefei Guan, Jingdan Zhang, Shaohua Kevin Zhou
  • Patent number: 9541530
    Abstract: A method of fatigue life prediction including: calculating a critical crack size of an object of interest; identifying a first flaw in ultrasound data of the object of interest; determining that the first flaw interacts with a second flaw, the first flaw is to be merged with the second flaw, or the first flaw is isolated; calculating an initial crack size based on the determination; and calculating an increase in the initial crack size due to fatigue and creep to determine a number of load cycles until the initial crack size reaches the critical crack size.
    Type: Grant
    Filed: January 17, 2013
    Date of Patent: January 10, 2017
    Assignee: Siemens Energy, Inc.
    Inventors: Xuefei Guan, Hui Zhen, Jingdan Zhang, Shaohua Kevin Zhou, Ashley L. Lewis, Steve H. Radke, Chin-Sheng Lee
  • Patent number: 9430827
    Abstract: A method is disclosed for segmentation of a calcified blood vessel in image data. An embodiment of the method includes providing a vesseltree representation of the blood vessel; providing a number of preliminary boundary representations of a number of cross-sections of the blood vessel; providing a number of intensity profiles in the image data in the number of cross-sections; determining a calcification in the cross-section based on the intensity profile; and correcting each preliminary boundary representation into a corrected boundary representation which excludes the calcification from an inner part of the blood vessel. A segmentation system is also disclosed.
    Type: Grant
    Filed: January 7, 2014
    Date of Patent: August 30, 2016
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Michael Kelm, Felix Lugauer, Jingdan Zhang, Yefeng Zheng
  • Patent number: 9406141
    Abstract: A method and a segmentation system are disclosed. An embodiment of the method includes providing an image representation of the structure; providing a start surface model, including a mesh with a plurality of vertices connected by edges; defining for each vertex a ray normal to the surface model at the position of the vertex; assigning more than two labels to each vertex, each label representing a candidate position of the vertex on the ray; providing a representation of likelihoods for each candidate position the likelihood referring to whether the candidate position corresponds to a surface point of the structure in the image representation; and defining a first order Markow Random Field with discrete multivariate random variables, the random variables including the labels of the candidate positions and the representation of likelihoods, finding an optimal segmentation of the structure by using an maximum a posteriori estimation in this Markow Random Field.
    Type: Grant
    Filed: January 7, 2014
    Date of Patent: August 2, 2016
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Michael Kelm, Felix Lugauer, Jingdan Zhang, Yefeng Zheng
  • Patent number: 9375184
    Abstract: A method and system for prediction of respiratory motion from 3D thoracic images is disclosed. A patient-specific anatomical model of the respiratory system is generated from 3D thoracic images of a patient. The patient-specific anatomical model of the respiratory system is deformed using a biomechanical model. The biomechanical model is personalized for the patient by estimating a patient-specific thoracic pressure force field to drive the biomechanical model. Respiratory motion of the patient is predicted using the personalized biomechanical model driven by the patient-specific thoracic pressure force field.
    Type: Grant
    Filed: August 25, 2014
    Date of Patent: June 28, 2016
    Assignees: Technische Universität München, Siemens Aktiengesellschaft, Siemens Corporation, Siemens Healthcare GmbH
    Inventors: Thomas Boettger, Francois Carnis, Dorin Comaniciu, Jerome Declerck, Bernhard Fuerst, Ali Kamen, Tommaso Mansi, Jingdan Zhang
  • Patent number: 9367924
    Abstract: A method and system for fully automatic liver segmentation in a multi-channel magnetic resonance (MR) image is disclosed. An initial liver boundary in the multi-channel MR image, such as an MR Dixon scan. The segmented initial liver boundary in the multi-channel MR image is refined based on features extracted from multiple channels of the multi-channel MR image using a trained boundary detector. The features may be extracted from an opposed channel and a water channel of an MR Dixon scan.
    Type: Grant
    Filed: May 6, 2014
    Date of Patent: June 14, 2016
    Assignee: Siemens Aktiengesellschaft
    Inventors: Artem Gritsenko, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou
  • Publication number: 20160092632
    Abstract: A method for processing medical imaging data includes: (a) selecting a subset of medical imaging data to be processed, wherein the medical imaging data is stored in a cloud-based storage system; (b) choosing a processing algorithm to apply to the selected subset of medical imaging data, wherein the chosen processing algorithm is stored in the cloud-based storage system; (c) executing the chosen processing algorithm in the cloud-based storage system to generate a processing result; and (d) displaying the processing result to a client via a user interface. Systems for processing medical imaging data are described.
    Type: Application
    Filed: September 25, 2014
    Publication date: March 31, 2016
    Inventors: Shaohua Kevin Zhou, Neil Birkbeck, Giorgio Di Guardia, Jingdan Zhang, Michal Sofka, James B. Thompson, Gianluca Paladini
  • Publication number: 20160086352
    Abstract: A method for detecting a mineral layer in seismic survey image data includes transforming the intensity of an unprocessed seismic survey image volume, wherein the seismic survey image volume comprises a 3-dimensional (3D) grid of voxels each associated with an intensity, wherein a contrast of the seismic survey image volume is enhanced, scanning the intensity transformed image voxel-by-voxel with a classifier to determine a probability of each voxel being associated with a mineral layer, and thresholding the voxel probabilities to yield a 3D binary image mask that corresponds to the seismic survey image volume, wherein each voxel of the binary image mask has a value indicative of whether the voxel is mineral or non-mineral.
    Type: Application
    Filed: September 19, 2014
    Publication date: March 24, 2016
    Inventors: Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou
  • Patent number: 9269156
    Abstract: A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.
    Type: Grant
    Filed: July 22, 2013
    Date of Patent: February 23, 2016
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Neil Birkbeck, Jingdan Zhang, Martin Requardt, Berthold Kiefer, Peter Gall, Shaohua Kevin Zhou
  • Patent number: 9141763
    Abstract: A method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels is disclosed. An anatomical model of a cerebral vessel is extracted from 3D medical image data. The anatomical model of the cerebral vessel includes an inner wall and an outer wall of the cerebral vessel. Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations based on the anatomical model of the cerebral vessel.
    Type: Grant
    Filed: February 6, 2012
    Date of Patent: September 22, 2015
    Assignee: Siemens Aktiengesellschaft
    Inventors: Puneet Sharma, Tommaso Mansi, Viorel Mihalef, Jingdan Zhang, David Liu, Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comaniciu
  • Patent number: 9042620
    Abstract: A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.
    Type: Grant
    Filed: March 9, 2012
    Date of Patent: May 26, 2015
    Assignee: Siemens Corporation
    Inventors: Timo Kohlberger, Michal Sofka, Jens Wetzl, Jingdan Zhang, Shaohua Kevin Zhou, Neil Birkbeck, Jerome Declerck, Jens Kaftan
  • Publication number: 20150073765
    Abstract: A method and system for prediction of respiratory motion from 3D thoracic images is disclosed. A patient-specific anatomical model of the respiratory system is generated from 3D thoracic images of a patient. The patient-specific anatomical model of the respiratory system is deformed using a biomechanical model. The biomechanical model is personalized for the patient by estimating a patient-specific thoracic pressure force field to drive the biomechanical model. Respiratory motion of the patient is predicted using the personalized biomechanical model driven by the patient-specific thoracic pressure force field.
    Type: Application
    Filed: August 25, 2014
    Publication date: March 12, 2015
    Inventors: Thomas Boettger, Francois Carnis, Dorin Comaniciu, Jerome Declerck, Bernhard Fuerst, Ali Kamen, Tommaso Mansi, Jingdan Zhang
  • Publication number: 20140355850
    Abstract: A method is disclosed for segmentation of a calcified blood vessel in image data. An embodiment of the method includes providing a vesseltree representation of the blood vessel; providing a number of preliminary boundary representations of a number of cross-sections of the blood vessel; providing a number of intensity profiles in the image data in the number of cross-sections; determining a calcification in the cross-section based on the intensity profile; and correcting each preliminary boundary representation into a corrected boundary representation which excludes the calcification from an inner part of the blood vessel. A segmentation system is also disclosed.
    Type: Application
    Filed: January 7, 2014
    Publication date: December 4, 2014
    Applicant: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Michael KELM, Felix LUGAUER, Jingdan ZHANG, Yefeng ZHENG
  • Publication number: 20140355854
    Abstract: A method and a segmentation system are disclosed. An embodiment of the method includes providing an image representation of the structure; providing a start surface model, including a mesh with a plurality of vertices connected by edges; defining for each vertex a ray normal to the surface model at the position of the vertex; assigning more than two labels to each vertex, each label representing a candidate position of the vertex on the ray; providing a representation of likelihoods for each candidate position the likelihood referring to whether the candidate position corresponds to a surface point of the structure in the image representation; and defining a first order Markow Random Field with discrete multivariate random variables, the random variables including the labels of the candidate positions and the representation of likelihoods, finding an optimal segmentation of the structure by using an maximum a posteriori estimation in this Markow Random Field.
    Type: Application
    Filed: January 7, 2014
    Publication date: December 4, 2014
    Applicant: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Michael KELM, Felix LUGAUER, Jingdan ZHANG, Yefeng ZHENG
  • Patent number: 8879810
    Abstract: A method and system for automatic lung segmentation in magnetic resonance imaging (MRI) images and videos is disclosed. A plurality of predetermined key landmarks of a lung are detected in an MRI image. The key landmarks may be detected using discriminative joint contexts representing combinations of multiple key landmarks. A lung boundary is segmented in the MRI image based on the detected key landmarks. The landmark detection and the lung boundary segmentation can be repeated in each frame of an MRI video.
    Type: Grant
    Filed: November 16, 2012
    Date of Patent: November 4, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Shaolei Feng, Shaohua Kevin Zhou, Andre de Oliveira, Berthold Kiefer, Jingdan Zhang
  • Patent number: 8837771
    Abstract: A method and system for segmenting multiple organs in medical image data is disclosed. A plurality of landmarks of a plurality of organs are detected in a medical image using an integrated local and global context detector. A global posterior integrates evidence of a plurality of image patches to generate location predictions for the landmarks. For each landmark, a trained discriminative classifier for that landmark evaluates the location predictions for that landmark based on local context. A segmentation of each of the plurality of organs is then generated based on the detected landmarks.
    Type: Grant
    Filed: February 26, 2013
    Date of Patent: September 16, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Nathan Lay, Neil Birkbeck, Jingdan Zhang, Jens Guehring, Shaohua Kevin Zhou