Ha V Hong

20210106284, Apr 15, 2021

Oct 20, 2020

17/075507

- Brisbane CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Johan Mathe - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US
Michael Cannon - Haverford PA, US
Nathanael Romano - San Francisco CA, US
Natalia Bilenko - Oakland CA, US
Charles Chen - San Bruno CA, US
Nina Miolane - San Francisco CA, US

A61B 5/00
G06N 3/08
G06T 7/00

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.

20210106285, Apr 15, 2021

Oct 20, 2020

17/075560

- Brisbane CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Johan Mathe - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US
Michael Cannon - Haverford PA, US
Nathanael Romano - San Francisco CA, US
Natalia Bilenko - Oakland CA, US
Charles Chen - San Bruno CA, US
Nina Miolane - San Francisco CA, US

A61B 5/00
G06N 3/08
G06T 7/00

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.

20200281535, Sep 10, 2020

Apr 2, 2020

16/839040

- San Francisco CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Johan Mathe - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US
Michael Cannon - Haverford PA, US
Nathanael Romano - San Francisco CA, US

A61B 5/00
G06N 3/08
G06T 7/00

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.

20200245970, Aug 6, 2020

Jan 31, 2019

16/264310

- San Francisco CA, US
Ali Chaudhry - San Francisco CA, US
Sara Guttas - San Francisco CA, US
Ha Hong - San Ramon CA, US
Ching Hsieh - San Francisco CA, US
Kilian Koepsell - San Francisco CA, US
Nripesh Parajuli - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US

A61B 8/00
G06T 7/00

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.

20200245976, Aug 6, 2020

Jan 31, 2019

16/264151

- San Francisco CA, US
Charles Chen - San Mateo CA, US
Ha Hong - San Ramon CA, US
Ching Hsieh - San Francisco CA, US
Kilian Koepsell - San Francisco CA, US

A61B 8/08
G16H 30/20
G01S 15/89

In a method, system and computer program product for retrospective image clip saving for ultrasound imagery, the method includes first repeatedly acquiring different ultrasound image clips of a single view of a target feature through an ultrasound imaging probe of an ultrasound imaging system. Thereafter, each of the acquired different ultrasound image clips may be stored in a buffer of the ultrasound imaging system and a value assigned to each of the image clips according to a measured characteristic. A save-best-clip mode of the ultrasound imaging system is then activated and, in response to the activation, each of the acquired different ultrasound image clips are compared in the buffer based upon respective measured characteristics, at least one of the clips demonstrating an optimal value for the measured characteristic is identified and the identified clip or clips saved in memory of the ultrasound imaging system in correspondence with the single view.

20190392577, Dec 26, 2019

Jun 25, 2018

16/017757

- San Francisco CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US
Michael G. Cannon - Haverford PA, US
Nathanael Romano - San Francisco CA, US
Ching Hsieh - Saratoga CA, US
Samuel Surette - San Francisco CA, US
Natalia Bilenko - Oakland CA, US

G06T 7/00

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.

20190392581, Dec 26, 2019

Jun 25, 2018

16/016725

- San Francisco CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Johan Mathe - San Francisco CA, US
Nicolas Poilvert - Seattle WA, US
Michael Cannon - Haverford PA, US
Nathanael Romano - San Francisco CA, US
Natalia Bilenko - Oakland CA, US
Charles Chen - San Bruno CA, US
Nina Miolane - San Francisco CA, US

G06T 7/00
G06K 9/62
G06K 9/00
G16H 30/20
G06F 17/30
G06N 3/08

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.

20180153505, Jun 7, 2018

Dec 4, 2017

15/831375

- San Francisco CA, US
Ha Hong - Pleasant Hill CA, US
Kilian Koepsell - San Francisco CA, US
Johan Mathe - San Francisco CA, US
Martin Wojtczyk - Pinole CA, US

A61B 8/00
A61B 34/20

Embodiments of the invention provide for the guided navigation of an ultrasound probe. In an embodiment of the invention, an ultrasound navigation assistance method includes acquiring an image by an ultrasound probe of a target organ of a body. The method also includes processing the image in connection with an estimator such as a neural network. The processing in turn determines a deviation of a contemporaneous pose evident from the acquired image from an optimal pose of the ultrasound probe for imaging the target organ. Finally, the method includes presenting the computed deviation to an end user operator of the ultrasound probe.