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Dr. Bash discusses the 2 AI-based applications that contributed to her winning image

RadiologyAI.com Exclusive:

Dr. Bash discusses the Aunt Minnie image of the year and the 2 AI-based applications that helped produce it.

[video_popup video_type=”upload” video_mp4=”7612″ thumb_image=”7043″ thumb_tint=”#2cbfae”]

While most of the attention around artificial intelligence (AI) has focused on its use for image analysis and interpretation, many radiologists are even more excited about AI’s potential for improving image reconstruction.

The winner of this year’s Best Radiology Image category is an excellent example. The winning image is a series of volumetric quantitative MRI scans, one acquired and reconstructed with a standard protocol, while the second series was acquired with a 60% shorter scan protocol and then processed with a deep-learning algorithm to enhance its image quality and quantitative accuracy.

Read more on AuntMinnie.com

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