Christine B Swisher, 5929 N Arch St, Montoursville, PA 17754

2021032, Oct 21, 2021

Aug 30, 2019

17/272989

- Eindhoven, NL
Raghavendra SRINIVASA NAIDU - Auburndale MA, US
Christine SWISHER - San Diego CA, US
Hua XIE - Cambridge MA, US

A61B 8/08
A61B 8/14
A61B 8/00
G06N 3/04

The present disclosure describes imaging systems configured to identify features within image frames and improve the frames by implementing image quality adjustments. An ultrasound imaging system can include a transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target. The system can also include a user interface configured to display an image and one or more processors configured to identify one or more features within the image. The processors can cause the interface to display elements associated with at least two image quality operations specific to the identified feature. A first image quality operation can include a manual adjustment of a transducer setting, and a second image quality operation can include an automatic adjustment of the identified feature derived from reference frames including the identified feature. The processors can receive a user selection of one or more elements and apply the operations to modify the image.

2021002, Jan 28, 2021

Mar 14, 2019

17/040119

- EINDHOVEN, NL
Kevin LYONS - CAMBRIDGE MA, US
Gajendra Jung KATUWAL - SOMERVILLE MA, US
Christine Menking SWISHER - SAN DIEGO CA, US

KONINKLIJKE PHILIPS N.V. - EINDHOVEN

G16H 20/40
G16H 40/20
G16H 50/70
A61N 5/10

A non-transitory computer-readable medium stores a preferences database (); instructions readable and executable by at least one electronic processor () to perform a proposed radiation treatment plan review process (), including: via a reviewing graphical user interface (GUI) (), presenting a proposed radiation treatment plan to a reviewer; via the reviewing GUI, receiving one of (i) an acceptance of the proposed radiation treatment plan or (ii) a rejection of the proposed radiation treatment plan in combination with annotations of the rejected proposed radiation treatment plan from the reviewer; and updating radiation treatment plan preferences of the reviewer stored in the preferences database based on the acceptance of the proposed radiation treatment plan or based on the annotations of the rejected proposed radiation treatment plan; and instructions readable and executable by at least one electronic processor () to perform a radiation treatment planning process () including: optimizing radiation treatment parameters for a patient with respect to dose objectives and using at least one planning image of a patient to generate one or more candidate radiation treatment plans for the patient; retrieving, from the preferences database to a planning GUI (), radiation treatment plan preferences of a reviewer associated with the patient; and displaying the radiation treatment plan preferences of the reviewer associated with the patient at the planning GUI.

2020035, Nov 12, 2020

Jan 23, 2019

16/963553

- ElNDHOVEN, NL
JONATHAN THOMAS SUTTON - BOSTON MA, US
CHRISTINE SWISHER - SAN DIEGO CA, US
HAIBO WANG - MELROSE MA, US

A61B 8/08
A61B 8/06
A61B 8/00

Ultrasound image devices, systems, and methods are provided. A medical ultrasound imaging system, comprising an interface in communication with an ultrasound imaging component and configured to receive a first image representative of blood vessels of a brain of a patient while the ultrasound imaging component is positioned at a first imaging position with respect to the patient; and a processing component in communication with the interface and configured to apply a convolutional network (CNN) to the first image to produce a motion control configuration for repositioning the ultrasound imaging component from the first imaging position to a second imaging position associated with a transcranial examination, the CNN trained based on at least a known blood vessel topography.

2020029, Sep 24, 2020

Oct 29, 2018

16/760962

- EINDHOVEN, NL
MAN NGUYEN - MELROSE MA, US
CHRISTINE MENKING SWISHER - SAN DIEGO CA, US

A61B 8/00
A61B 8/08
G06N 3/02

The present disclosure describes ultrasound imaging systems and methods configured to identify and remove image artefacts from ultrasound image frames by applying a neural network to the frames. Systems may include an ultrasound transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target region. One or more processors communicatively coupled with the ultrasound transducer may be configured to generate an image frame from the ultrasound echoes and apply a neural network to the image frame. The neural network determines whether an artefact is present in the image frame, and identifies the type of artefact detected. The processors can also generate an indicator conveying the presence of the artefact, which can be displayed on a user interface. The processors can further generate an instruction for adjusting the ultrasound transducer based on the presence and type of artefact present within the image frame.