Abstract: Systems and methods for post processing cardiac magnetic resonance images are described that utilize a machine-learning algorithm. Embodiments of the systems and methods maximize physician and technologist efficiency by minimizing the necessary manual labor that is required to post-process medical images through smart-automation, thereby improving consistency and reproducibility of post-processing results by minimizing operator bias.
Type:
Grant
Filed:
May 22, 2017
Date of Patent:
December 3, 2019
Assignee:
Precision Image Analysis, Inc.
Inventors:
Scott Flamm, Daniel McInally, Mary Waiss, Philip Trinh, Sam Alkek
Abstract: Systems and methods for post processing cardiac magnetic resonance images are described that utilize a machine-learning algorithm. Embodiments of the systems and methods maximize physician and technologist efficiency by minimizing the necessary manual labor that is required to post-process medical images through smart-automation, thereby improving consistency and reproducibility of post-processing results by minimizing operator bias.
Type:
Application
Filed:
May 22, 2017
Publication date:
April 19, 2018
Applicant:
Precision Image Analysis, Inc.
Inventors:
Scott Flamm, Daniel Mclnally, Mary Waiss, Philip Trinh, Sam Alkek