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Abstract #3360

Ringing Artifact Removal Using Zero-Shot Deep Anti-Aliasing Prior in MR image

Chuanjiang Cui1, Soo-Hyung Lee1, Jae-Yoon Kim1, Jaeuk Yi1, Dong-Wook Kim1, Kyu-Jin Jung1, and Dong-Hyun Kim1
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of

Synopsis

Keywords: Artifacts, Artifacts

Motivation: MRI image quality is degraded by artifacts like Gibbs ringing, BLADE aliasing, and motion distortions. Current removal methods require labeled data or cause blurring. A general solution without extensive training is needed.

Goal(s): Develop an adaptable zero-shot method to remove MRI ringing artifacts across contrasts, resolutions, and scenarios without labeled data, pre-training, or explicit priors.

Approach: Using the implicit prior of randomly initialized CNNs, we proposed a zero-shot artifact removal method using a CNN with an anti-aliasing prior.

Results: The method suppresses Gibbs ringing, BLADE, and motion artifacts, preserving edge details. It has limitations for severe motion artifacts but performs well across contrasts.

Impact: This work proposed a deep anti-aliasing prior to remove the ringing artifacts from various sources in a zero-shot manner.

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Keywords