Patents by Inventor Ingmar Voigt

Ingmar Voigt 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: 20220375073
    Abstract: DCE MR images are obtained from a MR scanner and under a free-breathing protocol is provided. A neural network assigns a perfusion metric to DCE MR images. The neural network includes an input layer configured to receive at least one DCE MR image representative of a first contrast enhancement state and of a first respiratory motion state and at least one further DCE MR image representative of a second contrast enhancement state and of a second respiratory motion state. The neural network further includes an output layer configured to output at least one perfusion metric based on the at least one DCE MR image and the at least one further DCE MR image. The neural network with interconnections between the input layer and the output layer is trained by a plurality of datasets, each of the datasets having an instance of the at least one DCE MR image and of the at least one further DCE MR image for the input layer and the at least one perfusion metric for the output layer.
    Type: Application
    Filed: May 5, 2022
    Publication date: November 24, 2022
    Inventors: Ingmar Voigt, Marcel Dominik Nickel, Tommaso Mansi, Sebastien Piat
  • Publication number: 20220296306
    Abstract: An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.
    Type: Application
    Filed: June 8, 2022
    Publication date: September 22, 2022
    Inventors: Estelle Camus, Tommaso Mansi, Ingmar Voigt
  • Patent number: 11432875
    Abstract: An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: September 6, 2022
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Estelle Camus, Tommaso Mansi, Ingmar Voigt
  • Publication number: 20220079552
    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: November 22, 2021
    Publication date: March 17, 2022
    Inventors: Huseyin Tek, Bogdan Georgescu, Tommaso Mansi, Frank Sauer, Dorin Comaniciu, Helene C. Houle, Ingmar Voigt
  • Publication number: 20210264644
    Abstract: A method, apparatus, and computer readable storage medium are provided herein for constructing a representation of an annular structure associated with an anatomical object. The method includes receiving three-dimensional image data of the anatomical object and detecting at least a first landmark point and a second landmark point on the annular structure. A plane positioned between the first landmark point and the second landmark point, and oriented in accordance with a predefined angular relationship to a line connecting the first landmark point and the second landmark point is determined. A third landmark point on the annular structure which lies in the plane is also detected and the representation of the annular structure is generated using at least the first landmark point, the second landmark point, and the third landmark point. The representation is then outputted.
    Type: Application
    Filed: February 12, 2021
    Publication date: August 26, 2021
    Inventors: Yue Zhang, Abdoul Amadou, Ingmar Voigt, Viorel Mihalef, Rui Liao, Tommaso Mansi, Matthias John, Bimba Rao, Helene C. Houle
  • Patent number: 10751943
    Abstract: In personalized object creation, for implants, medical imaging is used to derive a model personalized to a patient. The model may be of a dynamic structure, such as part of the cardiovascular system, and is used to print the implant itself. The model may be used to print a mold to create the implant, a scaffold on which to grow tissue, and/or tissue itself. In another or additional approach, the medical imaging information is used to determine tissue properties. Differences in a material property of the anatomy is mapped to different materials used by a multi-material 3D printer, resulting in a printed object reflecting the size, shape, and/or other material property of the anatomy of the patient.
    Type: Grant
    Filed: August 24, 2015
    Date of Patent: August 25, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Sasa Grbic, Michael Suehling, Tommaso Mansi, Ingmar Voigt, Razvan Ionasec, Bogdan Georgescu, Helene C. Houle, Dorin Comaniciu, Charles Henri Florin, Philipp Hoelzer
  • Patent number: 10733910
    Abstract: A method and system for estimating physiological heart measurements from medical images and clinical data disclosed. A patient-specific anatomical model of the heart is generated from medical image data of the patient. A patient-specific multi-physics computational heart model is generated based on the patient-specific anatomical model by personalizing parameters of a cardiac electrophysiology model, a cardiac biomechanics model, and a cardiac hemodynamics model based on medical image data and clinical measurements of the patient. Cardiac function of the patient is simulated using the patient-specific multi-physics computational heart model. The parameters can be personalized by inverse problem algorithms based on forward model simulations or the parameters can be personalized using a machine-learning based statistical model.
    Type: Grant
    Filed: August 28, 2014
    Date of Patent: August 4, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Neumann, Tommaso Mansi, Sasa Grbic, Bogdan Georgescu, Ali Kamen, Dorin Comaniciu, Ingmar Voigt
  • Patent number: 10719986
    Abstract: A method and system for virtual percutaneous valve implantation is disclosed. A patient-specific anatomical model of a heart valve is estimated based on 3D cardiac medical image data and an implant model representing a valve implant is virtually deployed into the patient-specific anatomical model of the heart valve. A library of implant models, each modeling geometrical properties of a corresponding valve implant, is maintained. The implant models maintained in the library are virtually deployed into the patient specific anatomical model of the heart valve to select an implant type and size and deployment location and orientation for percutaneous valve implantation.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: July 21, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Dominik Zaeuner, Razvan Ioan Ionasec, Bogdan Georgescu, Yefeng Zheng, Dorin Comaniciu, Ingmar Voigt, Jan Boese
  • Patent number: 10660613
    Abstract: For measurement point determination in imaging with a medical scanner, the user selects a location on the image. Rather than using that location, an “intended” location corresponding to a local boundary or landmark represented in the image is identified. The medical scanner uses the simple user interface to more exactly determine points for measurement. One or more rays are cast from the user selected location. The actual location is found by examining data along the ray or rays. For 2D imaging, the rays are cast in the plane. For 3D imaging, the ray is cast along a view direction to find the depth. The intensities along the ray or around the ray are used to find the actual location, such as by application of a machine-learnt classifier to the limited region around the ray or by finding intensities along the ray relative to a threshold.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: May 26, 2020
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Ingmar Voigt, Tommaso Mansi, Helene C. Houle
  • Patent number: 10297027
    Abstract: Anatomy, such as papillary muscle, is automatically detected (34) and/or detected in real-time. For automatic detection (34) of small anatomy, machine-learnt classification with spatial (32) and temporal (e.g., Markov) (34) constraints is used. For real-time detection, sparse machine-learnt detection (34) interleaved with optical flow tracking (38) is used.
    Type: Grant
    Filed: June 8, 2015
    Date of Patent: May 21, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Mihai Scutaru, Ingmar Voigt, Tommaso Mansi, Razvan Ionasec, Helene C. Houle, Anand Vinod Tatpati, Dorin Comaniciu, Bogdan Georgescu, Noha Youssry El-Zehiry
  • 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: 10271817
    Abstract: A regurgitant orifice of a valve is detected. The valve is detected from ultrasound data. An anatomical model of the valve is fit to the ultrasound data. This anatomical model may be used in various ways to assist in valvular assessment. The model may define anatomical locations about which data is sampled for quantification. The model may assist in detection of the regurgitant orifice using both B-mode and color Doppler flow data with visualization without the jet. Segmentation of a regurgitant jet for the orifice may be constrained by the model. Dynamic information may be determined based on the modeling of the valve over time.
    Type: Grant
    Filed: June 10, 2015
    Date of Patent: April 30, 2019
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Ingmar Voigt, Tommaso Mansi, Bogdan Georgescu, Helene C Houle, Dorin Comaniciu, Codruta-Xenia Ene, Mihai Scutaru
  • Publication number: 20190099159
    Abstract: For measurement point determination in imaging with a medical scanner, the user selects a location on the image. Rather than using that location, an “intended” location corresponding to a local boundary or landmark represented in the image is identified. The medical scanner uses the simple user interface to more exactly determine points for measurement. One or more rays are cast from the user selected location. The actual location is found by examining data along the ray or rays. For 2D imaging, the rays are cast in the plane. For 3D imaging, the ray is cast along a view direction to find the depth. The intensities along the ray or around the ray are used to find the actual location, such as by application of a machine-learnt classifier to the limited region around the ray or by finding intensities along the ray relative to a threshold.
    Type: Application
    Filed: September 29, 2017
    Publication date: April 4, 2019
    Inventors: Ingmar Voigt, Tommaso Mansi, Helene C. Houle
  • Publication number: 20190090951
    Abstract: An ultrasound imager provides for LAA closure guidance. Using ultrasound imaging allows for modeling over time (e.g., throughout a heart cycle). An anatomy model of the LAA over time is used to create a biomechanical model personalized to the patient. The personalized models and a model of one or more closure devices are used to select a closure device for the patient appropriate for the entire heart cycle and to guide placement of the selected closure device during an implantation.
    Type: Application
    Filed: September 28, 2017
    Publication date: March 28, 2019
    Inventors: Estelle Camus, Tommaso Mansi, Ingmar Voigt
  • Patent number: 10194888
    Abstract: An entire volume is scanned. A sub-volume is separately scanned with different settings for beamforming parameters, allowing greater image quality for the sub-volume while providing context from the volume. The anatomy of interest is periodically detected, and the sub-volume shifted in position to cover the anatomy of interest, allowing for relatively continuous volume imaging with enhanced quality imaging of the sub-volume. Interleaving by volume and sub-volume slices may allow for optimization of relative frame rate and image quality. Different combinations between volume and sub-volume data for anatomy detection and display may provide for desired imaging while allowing the regular detection of the anatomy.
    Type: Grant
    Filed: March 12, 2015
    Date of Patent: February 5, 2019
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Stephen Henderson, Tommaso Mansi, Anand Tatpati, Ingmar Voigt, Bimba Rao
  • Patent number: 10172676
    Abstract: A first interface for reading image data of an anatomical region obtained by means of a medical imaging method is provided. A modeling module serves for establishing a volumetric biomechanical structure model of the anatomical region on the basis of the image data. Moreover, provision is made of a tracking module, couplable with a camera, for video-based registration of spatial gestures of a user. Furthermore, a simulation module, based on the biomechanical structure model, serves to assign a registered gesture to a simulated mechanical effect on the anatomical region, simulate a mechanical reaction of the anatomical region to the simulated mechanical effect, and modify the biomechanical structure model in accordance with the simulated mechanical reaction. Moreover, provision is made for a visualization module for the volumetric visualization of the biomechanical structure model.
    Type: Grant
    Filed: May 10, 2016
    Date of Patent: January 8, 2019
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventors: Olivier Ecabert, Klaus Engel, Tommaso Mansi, Ingmar Voigt
  • Patent number: 9931790
    Abstract: A method and system for transcatheter aortic valve implantation (TAVI) planning is disclosed. An anatomical surface model of the aortic valve is estimated from medical image data of a patient. Calcified lesions within the aortic valve are segmented in the medical image data. A combined volumetric model of the aortic valve and calcified lesions is generated. A 3D printed model of the heart valve and calcified lesions is created using a 3D printer. Different implant device types and sizes can be placed into the 3D printed model of the aortic valve and calcified lesions to select an implant device type and size for the patient for a TAVI procedure. The method can be similarly applied to other heart valves for any type of heart valve intervention planning.
    Type: Grant
    Filed: April 16, 2015
    Date of Patent: April 3, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Sasa Grbic, Razvan Ionasec, Tommaso Mansi, Ingmar Voigt, Dominik Neumann, Julian Krebs, Chris Schwemmer, Max Schoebinger, Helene C. Houle, Dorin Comaniciu, Joel Mancina
  • Patent number: 9848856
    Abstract: In valve modeling from medical scan data, chordae are modeled as a dense structure. Rather than attempting to provide the same number of chordae (e.g., 25) as found in a human valve, hundreds or thousands of chordae connectors are used. Since solving for lengths of so many chordae may be computationally intensive, the lengths of only a few are solved, and the lengths of the rest of the chordae are derived from the lengths of the few.
    Type: Grant
    Filed: December 16, 2015
    Date of Patent: December 26, 2017
    Assignee: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Sasa Grbic, Tommaso Mansi, Ingmar Voigt, Julian Krebs
  • Patent number: 9704256
    Abstract: Systems and methods for computing uncertainty include generating a surface model of a target anatomical object from medical imaging data of a patient. Uncertainty is estimated at each of a plurality of vertices of the surface model. The uncertainty estimated at each of the plurality of vertices is visualized on the surface model.
    Type: Grant
    Filed: March 10, 2015
    Date of Patent: July 11, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Sasa Grbic, Tommaso Mansi, Ingmar Voigt, Bogdan Georgescu, Charles Henri Florin, Dorin Comaniciu
  • Patent number: 9687204
    Abstract: A method and system for registering ultrasound images and physiological models to x-ray fluoroscopy images is disclosed. A fluoroscopic image and an ultrasound image, such as a Transesophageal Echocardiography (TEE) image, are received. A 2D location of an ultrasound probe is detected in the fluoroscopic image. A 3D pose of the ultrasound probe is estimated based on the detected 2D location of the ultrasound probe in the fluoroscopic image. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image based on the estimated 3D pose of the ultrasound probe. The ultrasound image can then be projected into the fluoroscopic image using a projection matrix associated with the fluoroscopic image. A patient specific physiological model can be detected in the ultrasound image and projected into the fluoroscopic image.
    Type: Grant
    Filed: May 18, 2012
    Date of Patent: June 27, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Peter Mountney, Markus Kaiser, Ingmar Voigt, Matthias John, Razvan Ioan Ionasec, Jan Boese, Dorin Comaniciu