Patents by Inventor Frank Sauer

Frank Sauer 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: 20190213423
    Abstract: Systems and methods described herein are provided for creating a list of available data sources for an event selected by a user, displaying one or more icons as an overlay on a first video stream indicating a position of a camera capturing a second video stream, and displaying a map as an overlay on the first video stream in which the map indicates levels of crowd excitement or other mappable data in different regions of a real world environment captured by the first video stream. Some embodiments may include receiving information indicating a user selection of the second video stream. For some embodiments, the levels of crowd excitement may be generated from sensor data, such as audio, video, or heart rate data collected by sensors at the event.
    Type: Application
    Filed: December 28, 2018
    Publication date: July 11, 2019
    Inventors: Max C. Haberstroh, Julia Sauer, André Pomp, Andreas Kirmse, Tobias Meisen, Frank Hees, Sabina Jeschke
  • Publication number: 20190200880
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: March 4, 2019
    Publication date: July 4, 2019
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20190125295
    Abstract: For cardiac flow detection in echocardiography, by detecting one or more valves, sampling planes or flow regions spaced from the valve and/or based on multiple valves are identified. A confidence of the detection may be used to indicate confidence of calculated quantities and/or to place the sampling planes.
    Type: Application
    Filed: October 30, 2017
    Publication date: May 2, 2019
    Inventors: Huseyin Tek, Bogdan Georgescu, Tommaso Mansi, Frank Sauer, Dorin Comaniciu, Helene C. Houle, Ingmar Voigt
  • Patent number: 10258244
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: April 16, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 10182771
    Abstract: A method and system for dose-optimized acquisition of a computed tomography (CT) scan of a target organ is disclosed. A localizer spiral CT scan is started at a beginning of a confidence range before a target organ. Real-time localizer scan images are automatically analyzed to predict a beginning location of the target organ based on the real-time localizer scan images. A diagnostic spiral CT scan is automatically started at the predicted beginning location of the target organ. Real-time diagnostic scan images are automatically analyzed to predict an end location of the target organ where full coverage of the target organ will be reached. The diagnostic spiral CT scan is automatically stopped in response to reaching the predicted end location of the target organ. A 3D profile can be acquired using a 3D camera and used to determine the confidence range before the target organ.
    Type: Grant
    Filed: February 10, 2017
    Date of Patent: January 22, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Fernando Vega, Frank Sauer
  • Patent number: 10130266
    Abstract: A method and system for prediction of post-stenting hemodynamic metrics for treatment planning of arterial stenosis is disclosed. A pre-stenting patient-specific anatomical model of the coronary arteries is extracted from medical image data of a patient Blood flow is simulated in the pre-stenting patient-specific anatomical model of the coronary arteries with a modified pressure-drop model that simulates an effect of stenting on a target stenosis region used to compute a pressure drop over the target stenosis region. Parameter values for the modified pressure-drop model are set without modifying the pre-stenting patient-specific anatomical model of the coronary arteries. A predicted post-stenting hemodynamic metric for the target stenosis region, such as fractional flow reserve (FFR), is calculated based on the pressure-drop over the target stenosis region computed using the modified pressure-drop model.
    Type: Grant
    Filed: May 5, 2015
    Date of Patent: November 20, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Lucian Mihai Itu, Puneet Sharma, Frank Sauer
  • Publication number: 20180242857
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: April 20, 2018
    Publication date: August 30, 2018
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20180228450
    Abstract: A method and system for dose-optimized acquisition of a computed tomography (CT) scan of a target organ is disclosed. A localizer spiral CT scan is started at a beginning of a confidence range before a target organ. Real-time localizer scan images are automatically analyzed to predict a beginning location of the target organ based on the real-time localizer scan images. A diagnostic spiral CT scan is automatically started at the predicted beginning location of the target organ. Real-time diagnostic scan images are automatically analyzed to predict an end location of the target organ where full coverage of the target organ will be reached. The diagnostic spiral CT scan is automatically stopped in response to reaching the predicted end location of the target organ. A 3D profile can be acquired using a 3D camera and used to determine the confidence range before the target organ.
    Type: Application
    Filed: February 10, 2017
    Publication date: August 16, 2018
    Inventors: Fernando Vega, Frank Sauer
  • Patent number: 9974454
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: May 22, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9888968
    Abstract: A method and system for automated decision support for treatment planning of arterial stenoses is disclosed. A set of stenotic lesions is identified in a patient's coronary arteries from medical image data of the patient. A plurality of treatment options are generated for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented. For each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option are calculated.
    Type: Grant
    Filed: July 17, 2015
    Date of Patent: February 13, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Frank Sauer, Puneet Sharma, Max Schoebinger
  • Publication number: 20170323177
    Abstract: Systems and methods for non-invasive assessment of an arterial stenosis, comprising include segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data. A hemodynamic index for the stenosis region is computed in each of the plurality of mesh candidates. It is determined whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region.
    Type: Application
    Filed: July 28, 2017
    Publication date: November 9, 2017
    Inventors: Frank Sauer, Yefeng Zheng, Puneet Sharma, Bogdan Georgescu
  • Publication number: 20170265754
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: June 7, 2017
    Publication date: September 21, 2017
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9747525
    Abstract: Systems and methods for non-invasive assessment of an arterial stenosis, comprising include segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region of a patient from medical imaging data. A hemodynamic index for the stenosis region is computed in each of the plurality of mesh candidates. It is determined whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region.
    Type: Grant
    Filed: May 7, 2015
    Date of Patent: August 29, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Frank Sauer, Yefeng Zheng, Puneet Sharma, Bogdan Georgescu
  • Patent number: 9700219
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: October 16, 2014
    Date of Patent: July 11, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9684979
    Abstract: A method of magnetic resonance (MR) imaging of a volume undergoing repetitive motion includes obtaining source slice data indicative of a plurality of source slices during the repetitive motion, and obtaining anchor slice data indicative of an anchor slice during the repetitive motion. The anchor slice intersects the plurality of source slices. The source slice data and the anchor slice data are reconstructed. A three-dimensional image assembly procedure is implemented to generate, for each phase of the repetitive motion, volume data based on a respective subset of the reconstructed source slice data. For each phase of the repetitive motion, the respective subset of slices is selected based on a correlation of the source slice data and the anchor slice data along an intersection between each source slice and the anchor slice. The source slice data of the selected subset is corrected for misalignment with the anchor slice data.
    Type: Grant
    Filed: June 9, 2014
    Date of Patent: June 20, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Xiaoguang Lu, Peter Speier, Hasan Ertan Cetingul, Marie-Pierre Jolly, Michaela Schmidt, Christoph Guetter, Carmel Hayes, Arne Littmann, Hui Xue, Mariappan S. Nadar, Frank Sauer, Edgar Müller
  • Patent number: 9681925
    Abstract: A system and method for instrument placement using an image based navigation system is disclosed. A target of interest is identified in a medical image of a patient. An image plane is displayed that goes through a center of the target. The image plane has a configurable orientation. The image plane is used to select a path for an instrument from a position on the patient's skin to the center of the target. A trajectory plane is viewed from a tip of the instrument to the center of the target. The trajectory plane reflects an orientation of the instrument. A particular trajectory plane is selected that is representative of a desired orientation of the instrument. An image of the particular trajectory plane is frozen. The instrument can then be inserted using a virtual guide and is navigated toward the target.
    Type: Grant
    Filed: April 15, 2005
    Date of Patent: June 20, 2017
    Assignee: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Fred S. Azar, Ali Khamene, Frank Sauer, Sebastian Vogt
  • Patent number: 9668704
    Abstract: The invention relates to a device and to a method for visual assistance during the electrophysiological use of a catheter in the heart, enabling electroanatomic 3D mapping data relating to an area of the heart to be treated to be visualized during the use of the catheter. Before the catheter is used, 3D image data of a body region containing the area to be treated is detected by means of a method for tomographic 3D imaging. The area to be treated or significant parts thereof are extracted from said 3D image data, in order to obtain selected 3D image data. The electroanatomic 3D mapping data and the selected 3D image data obtained are then classed in terms of position and dimension, and are adjacently visualized, for example, during the catheter ablation. The inventive method and associated device enable the orientation of the operator to be improved during the use of a catheter in the heart.
    Type: Grant
    Filed: August 24, 2004
    Date of Patent: June 6, 2017
    Assignee: BIOSENSE WEBSTER (ISRAEL) LTD.
    Inventors: Kristine Fuimaono, Gal Hayam, Yuval Karmi, Reinmar Killmann, Assaf Preiss, Norbert Rahn, Frank Sauer, Chenyang Xu
  • Patent number: 9538925
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: April 13, 2015
    Date of Patent: January 10, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20160106321
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: April 13, 2015
    Publication date: April 21, 2016
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9289267
    Abstract: A method and apparatus for presenting three-dimensional data to a physician is provided to facilitate the flexible navigation of an endoscope and surgical instruments with respect to anatomical structures. In accordance with a first embodiment a first set of data corresponding to a three dimensional model of a patient's anatomy is received. This three-dimensional model may be rendered from images taken in CT or MRI scanning, as discussed above. In accordance with this embodiment, this model is then combined with a second set of data corresponding to a view obtained from an endoscope. In another embodiment, the view from the illustrative endoscope is displayed as an inset image on the display of the three-dimensional image. In yet another embodiment, the three-dimensional image comprises a graphical representation of at least a first surgical instrument, such as said endoscope. The surgeon may select among various combinations of views and may zoom in or out from any particular view.
    Type: Grant
    Filed: May 16, 2006
    Date of Patent: March 22, 2016
    Assignee: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Frank Sauer, Ali Khamene, Sebastian Vogt