Patents by Inventor Nicolas Poilvert

Nicolas Poilvert 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: 20210106285
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Application
    Filed: October 20, 2020
    Publication date: April 15, 2021
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Publication number: 20210106284
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Application
    Filed: October 20, 2020
    Publication date: April 15, 2021
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Patent number: 10937156
    Abstract: A saliency mapping method includes displaying video clip imagery of an organ in a display of a computer and submitting the imagery to a neural network trained to produce a probability of an existence of a physical feature of the organ. In response, the probability is received along with a pixel-wise mapping of dispositive pixels in the imagery resulting in the probability. Variations of the imagery are then repeatedly resubmitted to the neural network, each including a change to one or more of the pixels in the imagery. Thereafter, for each resubmission, a change is measured in the probability and then correlated to the changed pixels. Finally, a graphical indicator is overlain on the display of the imagery corresponding to each of the pixels determined through the repeated resubmission to be dispositive based upon a threshold measured change in probability.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: March 2, 2021
    Assignee: BAY LABS, INC.
    Inventors: Natalia Bilenko, Charles Frye, Michael G. Cannon, Nicolas Poilvert
  • Publication number: 20210052255
    Abstract: An ultrasound guidance dynamic mode switching method includes selecting a predetermined ultrasound diagnostic procedure in memory of an ultrasound diagnostic computing system and identifying an operating mode of the system for a first sequence of views stored in the memory as a workflow in correspondence to the selected procedure. The method additionally includes placing the system in the identified operating mode and acquiring imagery of a target organ in association with the views of the first sequence of the workflow. Finally, the method includes detecting in the acquired imagery, a feature of the target organ mapped to a different operating mode, and in response to the detection, displaying a recommendation in a display to change operating modes, placing the system into the different operating mode, and acquiring additional imagery of the target organ utilizing the system in association with a different sequence of additional views of a different workflow.
    Type: Application
    Filed: August 19, 2019
    Publication date: February 25, 2021
    Inventors: Charles Cadieu, Michael G. Cannon, Ali Chaudhry, Ha Hong, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Publication number: 20210052253
    Abstract: An ultrasound guidance dynamic progression method includes selecting a predetermined ultrasound diagnostic workflow in memory of an ultrasound diagnostic computing system, the workflow including a sequence of views of a target organ. The method further includes selecting a first view in the sequence and presenting guidance in a display of the computing system for the first view, for instance visual, audible or haptic feedback. The method yet further includes acquiring imagery in the computing system in association with the first view, and detecting an anomalous feature of the acquired imagery. Finally, the method includes selecting a different view in the sequence as a substitute for a next one of the views in the sequence in response to having detected the anomalous feature, and further presenting different guidance in the display for the different view in lieu of guidance for the next one of the views.
    Type: Application
    Filed: August 19, 2019
    Publication date: February 25, 2021
    Inventors: Charles Cadieu, Michael G. Cannon, Ali Chaudhry, Ha Hong, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Patent number: 10806402
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: October 20, 2020
    Assignee: CAPTION HEALTH, INC.
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano
  • Publication number: 20200281535
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Application
    Filed: April 2, 2020
    Publication date: September 10, 2020
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano
  • Publication number: 20200250813
    Abstract: A saliency mapping method includes displaying video clip imagery of an organ in a display of a computer and submitting the imagery to a neural network trained to produce a probability of an existence of a physical feature of the organ. In response, the probability is received along with a pixel-wise mapping of dispositive pixels in the imagery resulting in the probability. Variations of the imagery are then repeatedly resubmitted to the neural network, each including a change to one or more of the pixels in the imagery. Thereafter, for each resubmission, a change is measured in the probability and then correlated to the changed pixels. Finally, a graphical indicator is overlain on the display of the imagery corresponding to each of the pixels determined through the repeated resubmission to be dispositive based upon a threshold measured change in probability.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Natalia Bilenko, Charles Frye, Michael G. Cannon, Nicolas Poilvert
  • Publication number: 20200245970
    Abstract: A method for prescriptively guiding an operator of an ultrasound imaging probe includes acquiring a sequence of image clips of a target organ utilizing an ultrasound imaging probe, determining a particular view of the target organ expressed by the acquired image clips and assessing a quality of each of the acquired image clips in respect to the particular view. On condition that the assessed quality falls below a pre-determined satisfactory quality for the particular view, a prescriptive movement of the probe is computed that has been pre-determined to produce quality improvement of a subsequently acquired image clip of the target organ for the particular view. Then, responsive to determining that the prescriptive movement has been computed a threshold number of times in connection with the sequence, the prescriptive movement is displayed concurrently with a display of subsequently acquired image clips of the target organ.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Charles Cadieu, Ali Chaudhry, Sara Guttas, Ha Hong, Ching Hsieh, Kilian Koepsell, Nripesh Parajuli, Nicolas Poilvert
  • Patent number: 10726548
    Abstract: Embodiments of the present invention provide a method, system and computer program product for video clip quality determination in medical device imaging and diagnosis. In an embodiment of the invention, a method for video clip quality determination in medical imaging includes first retrieving from a data store into memory of a host computer, video clip imagery of a target organ. Then, a quality value assigned to the video clip imagery may be identified in connection with the retrieved video clip imagery. A measurement of the target organ is computed based upon the retrieved video clip imagery. Finally, a confidence in respect to the computed measurement is determined based upon the identified quality value and the confidence determination displayed in a user interface provided by the host computer.
    Type: Grant
    Filed: June 25, 2018
    Date of Patent: July 28, 2020
    Assignee: BAY LABS, INC.
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Nicolas Poilvert, Michael G. Cannon, Nathanael Romano, Ching Hsieh, Samuel Surette, Natalia Bilenko
  • Patent number: 10631791
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Grant
    Filed: June 25, 2018
    Date of Patent: April 28, 2020
    Assignee: Caption Health, Inc.
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Publication number: 20190392577
    Abstract: Embodiments of the present invention provide a method, system and computer program product for video clip quality determination in medical device imaging and diagnosis. In an embodiment of the invention, a method for video clip quality determination in medical imaging includes first retrieving from a data store into memory of a host computer, video clip imagery of a target organ. Then, a quality value assigned to the video clip imagery may be identified in connection with the retrieved video clip imagery. A measurement of the target organ is computed based upon the retrieved video clip imagery. Finally, a confidence in respect to the computed measurement is determined based upon the identified quality value and the confidence determination displayed in a user interface provided by the host computer.
    Type: Application
    Filed: June 25, 2018
    Publication date: December 26, 2019
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Nicolas Poilvert, Michael G. Cannon, Nathanael Romano, Ching Hsieh, Samuel Surette, Natalia Bilenko
  • Publication number: 20190392581
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Application
    Filed: June 25, 2018
    Publication date: December 26, 2019
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Patent number: 10470677
    Abstract: Embodiments of the invention provide a method, system and computer program product for artificially intelligent ejection fraction determination. In a method for artificially intelligent ejection fraction determination, a neural network is loaded into memory of a computer, that has been trained with different sets of cardiac imaging data acquired during imaging of a ventricle for different hearts and a known ejection fraction for each of the sets. Then, a contemporaneous set of imaging data is acquired of a ventricle of a heart and the contemporaneous set of imaging data is provided to the neural network. Finally, an ejection fraction determination output by the neural network is displayed in a display of the computer without tracing a ventricle boundary of the heart.
    Type: Grant
    Filed: October 11, 2017
    Date of Patent: November 12, 2019
    Assignee: BAY LABS, INC.
    Inventors: Charles Cadieu, Michael G. Cannon, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert
  • Publication number: 20190104949
    Abstract: Embodiments of the invention provide a method, system and computer program product for artificially intelligent ejection fraction determination. In a method for artificially intelligent ejection fraction determination, a neural network is loaded into memory of a computer, that has been trained with different sets of cardiac imaging data acquired during imaging of a ventricle for different hearts and a known ejection fraction for each of the sets. Then, a contemporaneous set of imaging data is acquired of a ventricle of a heart and the contemporaneous set of imaging data is provided to the neural network. Finally, an ejection fraction determination output by the neural network is displayed in a display of the computer without tracing a ventricle boundary of the heart.
    Type: Application
    Filed: October 11, 2017
    Publication date: April 11, 2019
    Inventors: Charles Cadieu, Michael G. Cannon, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert