Patents by Inventor Yefeng Zheng

Yefeng Zheng 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).

  • 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
  • Patent number: 8744172
    Abstract: A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images.
    Type: Grant
    Filed: June 15, 2011
    Date of Patent: June 3, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Alexey Tsymbal, Michael Kelm, Maria Jimena Costa, Shaohua Kevin Zhou, Dorin Comaniciu, Yefeng Zheng, Alexander Schwing
  • Patent number: 8724881
    Abstract: A method and system for multi-part left atrium (LA) segmentation in a C-arm CT volume is disclosed. Multiple LA part models, including an LA chamber body mesh, an appendage mesh, a left inferior pulmonary vein (PV) mesh, a left superior PV mesh, a right inferior PV mesh, and a right superior PV mesh, are segmented in a 3D volume. A volume mask is generated from the LA chamber mesh, the appendage mesh, and the PV meshes. Erosion is performed in the LA chamber body and a plurality of ostia regions in the volume mask. The plurality of ostia regions in the volume mask are refined using region growing, and a smooth mesh is fit to each ostia region. A consolidated LA mesh is generated from the volume mask and the parts of the LA mesh are relabeled in the ostia region based on part boundaries detected using an optimization approach.
    Type: Grant
    Filed: November 7, 2012
    Date of Patent: May 13, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Yefeng Zheng, Matthias John, Gareth Funka-Lea, Jan Boese, Dorin Comaniciu
  • Patent number: 8712177
    Abstract: A method for displaying a motion compensated overlay includes receiving a model of a structure of interest, capturing an image depicting a region of interest and an instrument, determining whether the structure of interest is visible in the image, registering the model of the structure of interest to the image upon determining that the structure of interest is visible, and combining the model of the structure of interest with the image according to a registration to determine an overlay image.
    Type: Grant
    Filed: January 12, 2012
    Date of Patent: April 29, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Rui Liao, Yefeng Zheng, Matthias John, Alois Nöttling, Jan Boese
  • Patent number: 8682626
    Abstract: A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step.
    Type: Grant
    Filed: April 20, 2011
    Date of Patent: March 25, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu, Puneet Sharma, Tommaso Mansi
  • Patent number: 8675943
    Abstract: A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.
    Type: Grant
    Filed: November 14, 2011
    Date of Patent: March 18, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Yefeng Zheng, Fernando Vega-Higuera, Dorin Comaniciu
  • Patent number: 8644576
    Abstract: A method and system for multi-part left atrium (LA) segmentation in a C-arm CT volume is disclosed. Multiple LA part models, including an LA chamber body mesh, an appendage mesh, a left inferior pulmonary vein (PV) mesh, a left superior PV mesh, a right inferior PV mesh, and a right superior PV mesh, are segmented in a 3D volume. The LA chamber body mesh and the appendage mesh may be segmented as a combined object and the PV meshes may be segmented subject to a statistical shape constraint. A consolidated LA mesh is generated from the segmented LA part models.
    Type: Grant
    Filed: March 9, 2012
    Date of Patent: February 4, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Yefeng Zheng, Tianzhou Wang, Matthias John, Gareth Funka-Lea, Jan Boese, Dorin Comaniciu
  • Patent number: 8582854
    Abstract: A method and system for coronary artery detection in 3D cardiac volumes is disclosed. The heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers. The initial estimation of the coronary artery is then refined based on local information in the cardiac volume in order to detect the coronary artery in the cardiac volume. The detected coronary artery can be extended using 3D dynamic programming.
    Type: Grant
    Filed: June 18, 2009
    Date of Patent: November 12, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Lei Zhang, Yefeng Zheng, Bogdan Georgescu, Fernando Vega-Higuera, Dorin Comaniciu
  • Publication number: 20130294667
    Abstract: A method and system for model based fusion pre-operative image data, such as computed tomography (CT), and intra-operative C-arm CT is disclosed. A first pericardium model is segmented in the pre-operative image data and a second pericardium model is segmented in a C-arm CT volume. A deformation field is estimated between the first pericardium model and the second pericardium model. A model of a target cardiac structure, such as a heart chamber model or an aorta model, extracted from the pre-operative image data is fused with the C-arm CT volume based on the estimated deformation field between the first pericardium model and the second pericardium model. An intelligent weighted average may be used improve the model based fusion results using models of the target cardiac structure extracted from pre-operative image data of patients other than a current patient.
    Type: Application
    Filed: February 13, 2013
    Publication date: November 7, 2013
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Yefeng Zheng, Razvan Ioan Ionasec, Sasa Grbic, Matthias John, Dorin Comaniciu
  • Publication number: 20130279825
    Abstract: A method for displaying a motion compensated overlay includes receiving a model of a structure of interest, capturing an image depicting a region of interest and an instrument, determining whether the structure of interest is visible in the image, registering the model of the structure of interest to the image upon determining that the structure of interest is visible, and combining the model of the structure of interest with the image according to a registration to determine an overlay image.
    Type: Application
    Filed: January 12, 2012
    Publication date: October 24, 2013
    Applicant: Siemens Corporation
    Inventors: Rui Liao, Yefeng Zheng, Matthias John, Alois Nöttling, Jan Boese
  • Patent number: 8532352
    Abstract: A method and system for intraoperative guidance in an off-pump mitral valve repair procedure is disclosed. A plurality of patient-specific models of the mitral valve are generated, each from pre-operative image data obtained using a separate imaging modality. The pre-operative image data from the separate imaging modalities are fused into a common coordinate system by registering the plurality of patient-specific models. A model of the mitral valve is estimated in real-time in intraoperative image data using a fused physiological prior resulting from the registering of the plurality of patient-specific models.
    Type: Grant
    Filed: October 6, 2011
    Date of Patent: September 10, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgescu, Yefeng Zheng, Jan Boese, Klaus Klingenbeck, Dorin Comaniciu
  • Patent number: 8526699
    Abstract: A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed.
    Type: Grant
    Filed: March 4, 2011
    Date of Patent: September 3, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega-Higuera, Shaohua Kevin Zhou, Dorin Comaniciu, Michael Kelm, Alexey Tsymbal, Dominik Bernhardt
  • Patent number: 8494245
    Abstract: A method for guiding transcatheter aortic valve implantations includes receiving an interventional 3D image of an aortic root reconstructed from a sequence of 2D images acquired from a C-arm computed tomography (CT) system being rotated about a patient through a predetermined number of degrees, segmenting the aortic root and detecting aortic root landmarks in the 3D image, where the aortic root landmarks include three lowest points of aortic root cusps, two coronary artery ostia, and three commissures points where the cusps meet, cropping an area inside the segmented aortic root out of the 3D volume for volume rendering, centering the 3D image on an intersection of two orthogonal planes, each containing the two detected coronary ostia, that are orthogonal to a plane spanned by three lowest points of the aortic root cusps, and volume rendering the 3D cropped aortic root image together with the detected landmarks onto a 2D image.
    Type: Grant
    Filed: November 12, 2010
    Date of Patent: July 23, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Rui Liao, Yefeng Zheng, Matthias John, Alois Nöttling, Jan Boese, Uwe Kirschstein
  • Patent number: 8422753
    Abstract: A method and system for automatic extraction of personalized left atrium models is disclosed. A left atrium chamber body is segmented from a 3D image volume. At least one pulmonary venous ostium is detected on the segmented left atrium chamber body. At least one pulmonary vein trunk connected to the left atrium chamber body is segmented based on the detected pulmonary venous ostia.
    Type: Grant
    Filed: October 11, 2010
    Date of Patent: April 16, 2013
    Assignee: Siemens Corporation
    Inventors: Yefeng Zheng, David Liu, Jan Boese, Dorin Comaniciu
  • Patent number: 8406496
    Abstract: A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result using component-based voting based on the detected LV candidates, apex candidates, and base candidates.
    Type: Grant
    Filed: July 16, 2009
    Date of Patent: March 26, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Edgar Müller, Dorin Comaniciu, Arne Littmann
  • Patent number: 8363918
    Abstract: A method and apparatus for detecting multiple anatomical landmarks in a 3D volume. A first anatomical landmark is detected in a 3D volume using marginal space learning (MSL). Locations of remaining anatomical landmarks are estimated in the 3D volume based on the detected first anatomical landmark using a learned geometric model relating the anatomical landmarks. Each of the remaining anatomical landmarks is then detected using MSL in a portion of the 3D volume constrained based on the estimated location of each remaining landmark. This method can be used to detect the anatomical landmarks of the crista galli (CG), tip of the occipital bone (OB), anterior of the corpus callosum (ACC), and posterior of the corpus callosum (PCC) in a brain magnetic resonance imaging (MRI) volume.
    Type: Grant
    Filed: October 23, 2009
    Date of Patent: January 29, 2013
    Assignee: Siemens Aktiengesellschaft
    Inventors: Alexander Schwing, Yefeng Zheng, Martin Harder, Dorin Comaniciu
  • Publication number: 20130011030
    Abstract: A method and system for device detection in a 2D medical image is disclosed. In order to account for shape variation of a 3D object in a 2D imaging plane, a hierarchical tree-structured array of trained classifiers is used to detect a 3D object, such as a pigtail catheter in a 2D medical image, such as a fluoroscopic image. The hierarchical tree-structured array of trained classifiers increases a dimensionality of the search space with each hierarchical level, and as the search space is increased, the classification is split into object sub-classes using trained classifiers independently trained for each sub-class.
    Type: Application
    Filed: July 2, 2012
    Publication date: January 10, 2013
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Stratis Tzoumas, Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu
  • Publication number: 20130004052
    Abstract: Background information is subtracted from projection data in medical diagnostic imaging. The background is removed using data acquired in a single rotational sweep of a C-arm. The removal may be by masking out a target, leaving the background, in the data as constructed into a volume. For subtraction, the masked background information is projected to a plane and subtracted from the data representing the plane.
    Type: Application
    Filed: June 26, 2012
    Publication date: January 3, 2013
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Mingqing Chen, Yefeng Zheng, Kerstin Mueller, Christopher Rohkohl, Günter Lauritsch, Jan Boese, Gareth Funka-Lea, Dorin Comaniciu
  • Publication number: 20130004040
    Abstract: The left ventricle epicardium is estimated in medical diagnostic imaging. C-arm x-ray data is used to detect an endocardium at different phases. The detected endocardium at the different phases is compared to sample endocardiums at different phases. The sample endocardiums have corresponding sample epicadriums. The transformation between the most similar sample endocardium or endocardiums over time and the detected endocardium over time is applied to the corresponding sample epicardium or epicardiums. The transformed sample epicardium over time is the estimated epicardium over time for the C-arm x-ray data.
    Type: Application
    Filed: June 26, 2012
    Publication date: January 3, 2013
    Applicants: Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Mingqing Chen, Yefeng Zheng, Kerstin Mueller, Christopher Rohkohl, Günter Lauritsch, Jan Boese, Gareth Funka-Lea, Dorin Comaniciu
  • Patent number: 8340385
    Abstract: A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result by ranking the LV candidates based on the LV candidates, the apex candidates, and the base candidates using a trained ranking model.
    Type: Grant
    Filed: December 3, 2009
    Date of Patent: December 25, 2012
    Assignee: Siemens Aktiengesellschaft
    Inventors: Yefeng Zheng, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu