Invention Grant
- Patent Title: Ultrasound system with deep learning network for image artifact identification and removal
-
Application No.: US16639636Application Date: 2018-08-02
-
Publication No.: US11238562B2Publication Date: 2022-02-01
- Inventor: Anup Agarwal , Keith William Johnson , Liang Zhang , Earl M. Canfield
- Applicant: KONINKLIJKE PHILIPS N. V.
- Applicant Address: NL Eindhoven
- Assignee: KONINKLIJKE PHILIPS N. V.
- Current Assignee: KONINKLIJKE PHILIPS N. V.
- Current Assignee Address: NL Eindhoven
- International Application: PCT/EP2018/070960 WO 20180802
- International Announcement: WO2019/034436 WO 20190221
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T7/246 ; G16H50/20 ; G16H30/40 ; A61B8/08 ; A61B8/00 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; G06T5/20 ; G06T7/00

Abstract:
An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motion information of the same field of view as that of the B mode image. In another embodiment the neural network reduces haze artifacts by reducing TGC gain at the depth of artifacts.
Public/Granted literature
- US20200175652A1 ULTRASOUND SYSTEM WITH DEEP LEARNING NETWORK FOR IMAGE ARTIFACT IDENTIFICATION AND REMOVAL Public/Granted day:2020-06-04
Information query