Deep learning enabled wide-coverage high-resolution cardiac CT

Tzu-Cheng Lee; Jian Zhou; Zhou Yu; Liang Cai

doi:10.1117/12.2611817

4 April 2022 Deep learning enabled wide-coverage high-resolution cardiac CT

Tzu-Cheng Lee, Jian Zhou, Zhou Yu, Liang Cai

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 120312O (2022) https://doi.org/10.1117/12.2611817
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

Wide-coverage detector CT and ultra-high-resolution (UHR) detector CT are two important features for current cardiac imaging modalities. The former one enables the scanner to finish a whole heart image scan in one bed position; the latter one gives superior resolution in fine structures such as stenoses, calcifications, implemented stents, and small vessel boundaries. However, no commercially available scanner has both these features in one scanner as of today. Herein, we propose to use existing UHR-CT data to train a super resolution (SR) neural network and apply the network in a widecoverage detector CT system. The purpose of the network is to enhance the system resolution performance and reduce the noise while maintaining its wide-coverage feature without additional hardware changes. Thirteen UHR-CT patient datasets and their simulated-normal-resolution pairs were used for training a 3D residual-block U-Net. The modulation transfer function (MTF) measured from Catphan phantom scans showed the proposed super-resolution aided deep learning-based reconstruction (SR-DLR) improved the MTF resolution by relative ~30% and ~10% as compared to filtered-back projection and model-based iterative reconstruction approaches. In real patient cases, the SR-DLR images show better noise texture and enhanced spatial resolution along with better aortic valve, stent, calcification, and soft tissue features as compared to other reconstruction approaches.

Citation Download Citation

Tzu-Cheng Lee, Jian Zhou, Zhou Yu, and Liang Cai "Deep learning enabled wide-coverage high-resolution cardiac CT", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120312O (4 April 2022); https://doi.org/10.1117/12.2611817

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