Ge Precision Healthcare LLC

Scott Schubert

Gireesha Chinthamani Rao

Katelyn Rose Nye

Raghu Prasad

Alec Joseph Baenen

Prabhu Rajasekaran

Adam Pluim

Eric Hart

Aishwarya Seth

Keval Harishabhai Jagatiya

The current disclosure provides methods and systems for rapidly and consistently determining medical image quality metrics following acquisition of a diagnostic medical image. In one embodiment, the current disclosure teaches a method for determining an image quality metric by, acquiring a medical image of an anatomical region, mapping the medical image to a positional attribute of an anatomical feature using a trained deep neural network, determining an image quality metric based on the positional attribute of the anatomical feature, determining if the image quality metric satisfies an image quality criterion, and displaying the medical image, the image quality metric, and a status of the image quality criterion via a display device. In this way, a diagnostic scanning procedure may be expedited by providing technicians with real-time insight into quantitative image quality metrics.

System and methods for medical image quality assessment using deep neural networks

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Wales, WI, United States of America

Scott Schubert