公开(公告)号：US20210287361A1

公开(公告)日：2021-09-16

申请号：US16819966

申请日：2020-03-16

Applicant: GE Precision Healthcare LLC

Inventor： Krishna Seetharam Shriram ,  Rahul Venkataramani ,  Aditi Garg ,  Chandan Kumar Mallappa Aladahalli

IPC: G06T7/00 ,  A61B8/00 ,  G06T7/11 ,  G06T7/73

Abstract: Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.

公开(公告)号：US20210204884A1

公开(公告)日：2021-07-08

申请号：US16733797

申请日：2020-01-03

Applicant: GE Precision Healthcare LLC

Inventor： Harihan Ravishankar ,  Rahul Venkataramani

IPC: A61B5/00 ,  A61B5/04 ,  G06N3/08 ,  G06N3/04 ,  G16H40/63 ,  G16H10/60 ,  G16H50/20

Abstract: Methods and systems are provided for automatically determining a phase shift and noise insensitive similarity metric for electrocardiogram (ECG) beats in a Holter monitor recording. In one embodiment, a deep neural network may be trained to map an ECG beat to a phase shift insensitive and noise insensitive feature space embedding using a training data triad, wherein the training data triad may be produced by a method comprising: selecting a first beat and a second beat recorded via one or more Holter monitors, determining a dynamic time warping (DTW) distance between the first beat and the second beat, setting a similarity label for the first beat and the second beat based on the DTW distance, and storing the first beat, the second beat, and the similarity label, in a location of non-transitory memory as an ECG training data triad.