-
公开(公告)号：US11972584B2
公开(公告)日：2024-04-30
申请号：US17488750
申请日：2021-09-29
Applicant: GE Precision Healthcare LLC
Inventor： Rahul Venkataramani , Krishna Seetharam Shriram , Aditi Garg
CPC classification number: G06T7/40 , G06T7/11 , G06T2207/10132 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/30061 , G06T2207/30084
Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.
-
公开(公告)号：US11593933B2
公开(公告)日：2023-02-28
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
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：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
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：US20220101544A1
公开(公告)日：2022-03-31
申请号：US17488750
申请日：2021-09-29
Applicant: GE Precision Healthcare LLC
Inventor： Rahul Venkataramani , Krishna Seetharam Shriram , Aditi Garg
Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.
-
-
-
Search Results
4
records
(took 0.013 seconds)
