Patents by Inventor Mihai Scutaru

Mihai Scutaru 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).

  • Landmark detection with spatial and temporal constraints in medical imaging
    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
  • Valve regurgitant detection for echocardiography
    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
  • Landmark Detection with Spatial and Temporal Constraints in Medical Imaging
    Publication number: 20170116748
    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: Application
    Filed: June 8, 2015
    Publication date: April 27, 2017
    Inventors: Mihai Scutaru, Ingmar Voigt, Tommaso Mansi, Razvan Ionasec, Helene C. Houle, Anand Vinod Tatpati, Dorin Comaniciu
  • VALVE REGURGITANT DETECTION FOR ECHOCARDIOGRAPHY
    Publication number: 20150366532
    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: Application
    Filed: June 10, 2015
    Publication date: December 24, 2015
    Inventors: Ingmar Voigt, Tommaso Mansi, Bogdan Georgescu, Helene C Houle, Dorin Comaniciu, Codruta-Xenia Ene, Mihai Scutaru