Patents by Inventor Yiqiang Zhan

Yiqiang Zhan 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: 8121362
    Abstract: A method for registering a medical image includes acquiring a first medical image of a subject. One or more simulated medical images are synthesized based on the acquired first medical image. One or more matching functions are trained using the first medical image and the simulated medical images. A second medical image of the subject is acquired. The first medical image and the second medical image are registered using the one or more trained matching functions.
    Type: Grant
    Filed: April 28, 2008
    Date of Patent: February 21, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Yiqiang Zhan, Xiang Zhou, Arun Krishnan
  • Publication number: 20110058720
    Abstract: Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.
    Type: Application
    Filed: September 10, 2010
    Publication date: March 10, 2011
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Le Lu, Jun Ma, Marcos Salganicoff, Yiqiang Zhan, Xiang Sean Zhou
  • Publication number: 20110044534
    Abstract: Described herein is a framework for constructing a hierarchical classifier for facilitating classification of digitized data. In one implementation, a divergence measure of a node of the hierarchical classifier is determined. Data at the node is divided into at least two child nodes based on a splitting criterion to form at least a portion of the hierarchical classifier. The splitting criterion is selected based on the divergence measure. If the divergence measure is less than a predetermined threshold value, the splitting criterion comprises a divergence-based splitting criterion which maximizes subsequent divergence after a split. Otherwise, the splitting criterion comprises an information-based splitting criterion which seeks to minimize subsequent misclassification error after the split.
    Type: Application
    Filed: September 22, 2010
    Publication date: February 24, 2011
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Maneesh Dewan, Gerardo Hermosillo Valadez, Zhao Yi, Yiqiang Zhan
  • Publication number: 20100284590
    Abstract: Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.
    Type: Application
    Filed: May 26, 2010
    Publication date: November 11, 2010
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Zhigang Peng, Yimo Tao, Xiang Sean Zhou, Yiqiang Zhan, Arun Krishnan
  • Publication number: 20100232686
    Abstract: Described herein is a technology for facilitating deformable model-based segmentation of image data. In one implementation, the technology includes receiving training image data (202) and automatically constructing a hierarchical structure (204) based on the training image data. At least one spatially adaptive boundary detector is learned based on a node of the hierarchical structure (206).
    Type: Application
    Filed: March 15, 2010
    Publication date: September 16, 2010
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Maneesh Dewan, Yiqiang Zhan, Xiang Sean Zhou, Zhao Yi
  • Publication number: 20100034440
    Abstract: A method of detecting an anatomical primitive in an image volume includes detecting a plurality of transformationally invariant points (TIPS) in the volume, aligning the volume using the TIPs, detecting a plurality landmark points in the aligned volume that are indicative of a given anatomical object, and fitting a target geometric primitive as the anatomical primitive based using the detected landmark points.
    Type: Application
    Filed: July 23, 2009
    Publication date: February 11, 2010
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Yiqiang Zhan, Maneesh Dewan, Zhigang Peng, Xiang Sean Zhou
  • Publication number: 20090161937
    Abstract: A method for performing a medical imaging study includes acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.
    Type: Application
    Filed: December 15, 2008
    Publication date: June 25, 2009
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Zhigang Peng, Yiqiang Zhan, Xiang Zhou, Arun Krishnan
  • Publication number: 20090037919
    Abstract: A method for automatically scheduling tasks in whole-body computer aided detection/diagnosis (CAD), including: (a) receiving a plurality of tasks to be executed by a whole-body CAD system; (b) identifying a task to be executed, wherein the task to be executed has an expected information gain that is greater than that of each of the other tasks; (c) executing the task with the greatest expected information gain and removing the executed task from further analysis; and (d) repeating steps (b) and (c) for the remaining tasks.
    Type: Application
    Filed: July 29, 2008
    Publication date: February 5, 2009
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Yiqiang Zhan, Xiang Zhou
  • Publication number: 20090034813
    Abstract: A method for detecting and localizing multiple anatomical landmarks in medical images including: receiving an input requesting identification of a plurality of anatomical landmarks in a medical image; applying a multi-landmark detector to the medical image to identify a plurality of candidate locations for each of the anatomical landmarks; for each of the anatomical landmarks, applying a landmark-specific detector to each of its candidate locations, wherein the landmark-specific detector assigns a score to each of the candidate locations, and wherein candidate locations having a score below a predetermined threshold are removed; applying spatial statistics to groups of the remaining candidate locations to determine, for each of the anatomical landmarks, the candidate location that most accurately identifies the anatomical landmark; and for each of the anatomical landmarks, outputting the candidate location that most accurately identifies the anatomical landmark.
    Type: Application
    Filed: July 28, 2008
    Publication date: February 5, 2009
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Mert Dikmen, Yiqiang Zhan, Xiang Zhou
  • Publication number: 20080298662
    Abstract: A method for detecting lymph nodes in a medical image includes receiving image data. One or more regions of interest are detected from within the received image data. One or more lymph node candidates are identified using a set of predefined parameters that is particular to the detected region of interest where each lymph node candidate is located. The identifying unit may identify the one or more lymph node candidates by performing DGFR processing. The method may also include receiving user-provided adjustments to the predefined parameters that are particular to the detected regions of interest and identifying the lymph node candidates based on the adjusted parameters. The lymph node candidates identified based on the adjusted parameters may be displayed along with the image data in real-time as the adjustments are provided.
    Type: Application
    Filed: May 16, 2008
    Publication date: December 4, 2008
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Senthil Periaswamy, Xiang Zhou, Yiqiang Zhan, Arun Krishnan
  • Publication number: 20080267483
    Abstract: A method for registering a medical image includes acquiring a first medical image of a subject. One or more simulated medical images are synthesized based on the acquired first medical image. One or more matching functions are trained using the first medical image and the simulated medical images. A second medical image of the subject is acquired. The first medical image and the second medical image are registered using the one or more trained matching functions.
    Type: Application
    Filed: April 28, 2008
    Publication date: October 30, 2008
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Yiqiang Zhan, Xiang Zhou, Arun Krishnan