Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder.

Journal: Magnetic resonance in medicine

Published Date: Jul 19, 2024

Abstract

PURPOSE: To develop a SNR enhancement method for CEST imaging using a denoising convolutional autoencoder (DCAE) and compare its performance with state-of-the-art denoising methods.

Authors

Yashwant Kurmi

Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Malvika Viswanathan

Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Zhongliang Zu

Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Keywords

Algorithms Animals Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Mice Phantoms, Imaging Principal Component Analysis Signal-To-Noise Ratio

External Resources

View on PubMed Access via DOI PubMed (39030953)

Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder.

Abstract

Authors

Keywords

External Resources

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