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: 10304198
    Abstract: A framework for automatic retrieval of medical images. In accordance with one aspect, the framework detects patches in a query image volume that contain at least a portion of an anatomical region of interest by using a first trained classifier. The framework determines disease probabilities by applying a second trained classifier to the detected patches, and selects, from the patches, a sub-set of informative patches with disease probabilities above a pre-determined threshold value. For a given patch from the sub-set of informative patches, the framework retrieves, from a database, patches that are most similar to the given image. Image volumes associated with the retrieved patches are then retrieved from the database. A report based on the retrieved image volumes may then be generated and presented.
    Type: Grant
    Filed: September 15, 2017
    Date of Patent: May 28, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Zhennan Yan, Yiqiang Zhan, Shu Liao, Yoshihisa Shinagawa, Xiang Sean Zhou, Matthias Wolf
  • Publication number: 20190021625
    Abstract: A method to automatically align magnetic resonance (MR) scans for diagnostic scan planning includes acquiring a three-dimensional (3D) localizer image of an anatomical object. One or more initial landmarks are identified in the 3D localizer image using a landmarking engine. One or more main axes associated with the anatomical object are identified based on the one or more initial landmarks. The 3D localizer image is registered to a canonical space based on the main axes associated to yield a registered 3D localizer image. The landmarking engine is applied to the registered 3D localizer image to yield one or more updated landmarks. A plurality of reference points for performing a MR scan are computed based on the one or more updated landmarks.
    Type: Application
    Filed: June 19, 2018
    Publication date: January 24, 2019
    Inventors: Fitsum Aklilu Reda, Yiqiang Zhan, Martin Harder
  • Publication number: 20190019287
    Abstract: A framework for automated measurement. In accordance with one aspect, the framework detects a centerline point of a structure of interest in an image. A centerline of the structure of interest may be traced based on the detected centerline point. A trained segmentation learning structure may be used to generate one or more contours of the structure of interest along the centerline. One or more measurements may then be extracted from the one or more contours.
    Type: Application
    Filed: June 25, 2018
    Publication date: January 17, 2019
    Inventors: Fitsum Aklilu Reda, Yiqiang Zhan, Parmeet Singh Bhatia, Yoshihisa Shinagawa, Luca Bogoni, Xiang Sean Zhou
  • Publication number: 20180293727
    Abstract: In a method and an apparatus for rib unfolding in an MR image, a computer is provided with an input data file formed of volumetric MR data that represent a 3D image of the rib cage and the lungs of a subject. A view is selected wherein the ribs in the rib cage are in approximated as curves, such as a transverse slice through the 3D image, or an oblique view of the 3D image. The lungs in the selected view are used in order to define a first smooth curved surface representation that is inside of the rib cage. Further ellipses are selectively defined starting from the first ellipse and moving outwardly from the first smooth curved surface representation that respectively proceed through rib pairs in the rib cage in the selected image. These further smooth curved surface representations are then used to unfold the 3D image, by cutting and straightening these further smooth curved surface representations, thereby obtaining an unfolded 3D image, which is then displayed at a display.
    Type: Application
    Filed: April 10, 2017
    Publication date: October 11, 2018
    Applicant: Siemens Healthcare GmbH
    Inventors: Matthias Fenchel, Yiqiang Zhan
  • Publication number: 20180218516
    Abstract: A framework for coarse orientation detection in image data. In accordance with one aspect, the framework trains a learning structure to recognize a coarse orientation of the anatomical structure of interest based on training images. The framework may then pass one or more current images through the trained learning structure to generate a coarse orientation of the anatomical structure of interest. The framework then outputs the generated coarse orientation of the anatomical structure of interest.
    Type: Application
    Filed: January 23, 2018
    Publication date: August 2, 2018
    Inventors: Fitsum Aklilu Reda, Parmeet Singh Bhatia, Yiqiang Zhan, Xiang Sean Zhou
  • Publication number: 20180196873
    Abstract: A visualization framework based on document representation learning is described herein. The framework may first convert a free text document into word vectors using learning word embeddings. Document representations may then be determined in a fixed-dimensional semantic representation space by passing the word vectors through a trained machine learning model, wherein more related documents lie closer than less related documents in the representation space. A clustering algorithm may be applied to the document representations for a given patient to generate clusters. The framework then generates a visualization based on these clusters.
    Type: Application
    Filed: January 9, 2018
    Publication date: July 12, 2018
    Inventors: Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet Singh Bhatia, Yiqiang Zhan
  • Publication number: 20180089840
    Abstract: A framework for automatic retrieval of medical images. In accordance with one aspect, the framework detects patches in a query image volume that contain at least a portion of an anatomical region of interest by using a first trained classifier. The framework determines disease probabilities by applying a second trained classifier to the detected patches, and selects, from the patches, a sub-set of informative patches with disease probabilities above a pre-determined threshold value. For a given patch from the sub-set of informative patches, the framework retrieves, from a database, patches that are most similar to the given image. Image volumes associated with the retrieved patches are then retrieved from the database. A report based on the retrieved image volumes may then be generated and presented.
    Type: Application
    Filed: September 15, 2017
    Publication date: March 29, 2018
    Inventors: Zhennan Yan, Yiqiang Zhan, Shu Liao, Yoshihisa Shinagawa, Xiang Sean Zhou, Matthias Wolf
  • Publication number: 20170323444
    Abstract: In a magnetic resonance (MR) apparatus and segmentation method, a region in an MR image, acquired from a scan of a patient with an MR scanner of the apparatus, is provided to a computer for segmentation of the region from the overall image dataset. The segmentation takes place based on a classification of image elements of the image dataset, and the classification is iteratively re-trained in a weakly supervised learning algorithm based on examination-specific information provided to the computer.
    Type: Application
    Filed: May 9, 2016
    Publication date: November 9, 2017
    Applicant: Siemens Healthcare GmbH
    Inventors: Matthias Fenchel, Yiqiang Zhan
  • Patent number: 9799120
    Abstract: In a magnetic resonance (MR) apparatus and segmentation method, a region in an MR image, acquired from a scan of a patient with an MR scanner of the apparatus, is provided to a computer for segmentation of the region from the overall image dataset. The segmentation takes place based on a classification of image elements of the image dataset, and the classification is iteratively re-trained in a weakly supervised learning algorithm based on examination-specific information provided to the computer.
    Type: Grant
    Filed: May 9, 2016
    Date of Patent: October 24, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Matthias Fenchel, Yiqiang Zhan
  • Patent number: 9741131
    Abstract: Disclosed herein is a framework for facilitating image processing. In accordance with one aspect, the framework receives first image data acquired by a first modality and one or more articulated models. The one or more articulated models may include at least one section image acquired by the first modality and aligned with a local image acquired by a second modality. The framework may align an anatomical region of the first image data with the section image and non-rigidly register a first region of interest extracted from the section image with a second region of interest extracted from the aligned anatomical region. To generate a segmentation mask of the anatomical region, the registered first region of interest may be inversely mapped to a subject space of the first image data.
    Type: Grant
    Filed: July 15, 2014
    Date of Patent: August 22, 2017
    Assignees: Siemens Medical Solutions USA, Inc., Siemens Aktiengesellschaft
    Inventors: Gerardo Hermosillo Valadez, Yiqiang Zhan, Xiang Sean Zhou, Matthias Fenchel, Berthold Kiefer
  • Patent number: 9704300
    Abstract: A framework for anatomy orientation detection is described herein. In accordance with one aspect, a pre-trained regressor is applied to appearance features of the image volume to predict a colatitude of the structure of interest. An optimal longitude corresponding to the predicted colatitude is then determined. In response to the colatitude being more than a pre-determined threshold, the image volume is re-oriented based on the predicted colatitude and the optimal longitude, and the predicted colatitude and optimal longitude determination is repeated for the re-oriented image volume.
    Type: Grant
    Filed: February 18, 2016
    Date of Patent: July 11, 2017
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Fitsum Aklilu Reda, Yiqiang Zhan, Xiang Sean Zhou
  • Patent number: 9691157
    Abstract: A framework for visualization is described herein. In accordance with one implementation, one or more structures of interest are localized in a three-dimensional image. A position of an anatomical label may be determined using a positioning technique that is selected according to a view type of a visualization plane through the image, wherein the position of the anatomical label is outside the one or more structures of interest. The anatomical label may then be displayed at the determined position in the visualization plane.
    Type: Grant
    Filed: September 11, 2015
    Date of Patent: June 27, 2017
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Yiqiang Zhan, Gerardo Hermosillo Valadez
  • Publication number: 20170112575
    Abstract: A framework for pedicle screw positioning is described herein. In accordance with one aspect, the framework segments at least one vertebra of interest in image data. The framework then automatically determines a pedicle region within the segmented vertebra of interest, and a safe region within the segmented vertebra of interest. An optimal insertion path passing through the pedicle region may then be generated within the safe region.
    Type: Application
    Filed: September 30, 2016
    Publication date: April 27, 2017
    Inventors: Mingzhong Li, Shu Liao, Fitsum Aklilu Reda, Yiqiang Zhan, Xiang Sean Zhou, Gerhard Kleinszig
  • Publication number: 20160321427
    Abstract: A framework for supporting therapy planning is described herein. In accordance with one aspect, patient-specific characteristics are extracted from medical data associated with a given patient. The framework may then search a database for one or more other patients associated with personal characteristics that are similar to the patient-specific characteristics. Information associated with the one or more other patients may be presented to support therapy planning or diagnosis.
    Type: Application
    Filed: April 4, 2016
    Publication date: November 3, 2016
    Inventors: Luca Bogoni, Marcos Salganicoff, Matthias Wolf, Xiang Sean Zhou, Yiqiang Zhan
  • Patent number: 9471987
    Abstract: Disclosed herein is a framework for facilitating automatic planning for medical imaging. In accordance with one aspect, the framework receives first image data of a subject. One or more imaging parameters may then be derived using a geometric model and at least one reference anatomical primitive detected in the first image data. The geometric model defines a geometric relationship between the detected reference anatomical primitive and the one or more imaging parameters. The one or more imaging parameters may be presented, via a user interface, for use in acquisition, reconstruction or processing of second image data of the subject.
    Type: Grant
    Filed: July 22, 2014
    Date of Patent: October 18, 2016
    Assignee: Siemens Healthcare GmbH
    Inventors: Martin Harder, Yiqiang Zhan, Heiko Meyer, Shu Liao
  • Publication number: 20160300026
    Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
    Type: Application
    Filed: April 1, 2016
    Publication date: October 13, 2016
    Inventors: Luca Bogoni, Marcos Salganicoff, Matthias Wolf, Shu Liao, Yiqiang Zhan, Gerardo Hermosillo-Valadez, Xiang Sean Zhou, Zhigang Peng
  • Patent number: 9460510
    Abstract: Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location.
    Type: Grant
    Filed: March 29, 2013
    Date of Patent: October 4, 2016
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Gerardo Hermosillo Valadez, Marcos Salganicoff, Matthias Wolf, Xiang Sean Zhou, Yiqiang Zhan
  • Publication number: 20160260213
    Abstract: A framework for anatomy orientation detection is described herein. In accordance with one aspect, a pre-trained regressor is applied to appearance features of the image volume to predict a colatitude of the structure of interest. An optimal longitude corresponding to the predicted colatitude is then determined. In response to the colatitude being more than a pre-determined threshold, the image volume is re-oriented based on the predicted colatitude and the optimal longitude, and the predicted colatitude and optimal longitude determination is repeated for the re-oriented image volume.
    Type: Application
    Filed: February 18, 2016
    Publication date: September 8, 2016
    Inventors: Fitsum Aklilu Reda, Yiqiang Zhan, Xiang Sean Zhou
  • Patent number: 9336457
    Abstract: Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.
    Type: Grant
    Filed: December 4, 2013
    Date of Patent: May 10, 2016
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Vikas C. Raykar, Yiqiang Zhan, Maneesh Dewan, Gerardo Hermosillo Valadez, Zhigang Peng, Xiang Sean Zhou
  • Publication number: 20160078615
    Abstract: A framework for visualization is described herein. In accordance with one implementation, one or more structures of interest are localized in a three-dimensional image. A position of an anatomical label may be determined using a positioning technique that is selected according to a view type of a visualization plane through the image, wherein the position of the anatomical label is outside the one or more structures of interest. The anatomical label may then be displayed at the determined position in the visualization plane.
    Type: Application
    Filed: September 11, 2015
    Publication date: March 17, 2016
    Inventors: Yiqiang Zhan, Gerardo Hermosillo Valadez