公开(公告)号：US12061257B2

公开(公告)日：2024-08-13

申请号：US17272901

申请日：2019-12-20

Applicant: eXo Imaging, Inc.

Inventor： Miles Wernick ,  Sandeep Akkaraju ,  Drake Guenther ,  Kutay Ustuner ,  Yusuf Haque

IPC: A61B8/08 ,  G01S7/52 ,  G01S15/89

CPC classification number: G01S15/8977 ,  G01S7/52077 ,  G01S7/52085 ,  G01S7/52096 ,  G01S15/8979

Abstract: Disclosed herein are computer-implemented medical ultrasound imaging methods, and systems for performing the methods, that comprise forming a first frame of an ultrasound image sequence with high image quality; forming at least one frame of the ultrasound image sequence with reduced image quality; forming a second frame of the ultrasound image sequence with high image quality; and improving the quality of the at least one frame of the ultrasound image sequence with reduced image quality using the first and/or the second frames of the ultrasound image sequence with high quality. In some cases, the improvement of the quality of the at least one frame of the ultrasound image sequence with reduced image quality is achieved by application of machine learning.

公开(公告)号：US20210307726A1

公开(公告)日：2021-10-07

申请号：US17272901

申请日：2019-12-20

Applicant: eXo Imaging, Inc.

Inventor： Miles Wernick ,  Sandeep Akkaraju ,  Drake Guenther ,  Kutay Ustuner ,  Yusuf Haque

IPC: A61B8/08

Abstract: Disclosed herein are computer-implemented medical ultrasound imaging methods, and systems for performing the methods, that comprise forming a first frame of an ultrasound image sequence with high image quality; forming at least one frame of the ultrasound image sequence with reduced image quality; forming a second frame of the ultrasound image sequence with high image quality; and improving the quality of the at least one frame of the ultrasound image sequence with reduced image quality using the first and/or the second frames of the ultrasound image sequence with high quality. In some cases, the improvement of the quality of the at least one frame of the ultrasound image sequence with reduced image quality is achieved by application of machine learning.