Uncertainty estimation and reduction in deep learning-based projection domain cardiac phase estimation

P. Wu; E. Haneda; I. Heukensfeldt Jansen; J. D. Pack; A. Hsiao; E. McVeigh; B. De Man

doi:10.1117/12.3006075

1 April 2024 Uncertainty estimation and reduction in deep learning-based projection domain cardiac phase estimation

P. Wu, E. Haneda, I. Heukensfeldt Jansen, J. D. Pack, A. Hsiao, E. McVeigh, B. De Man

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129251I (2024) https://doi.org/10.1117/12.3006075
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Cardiac CT (CCT) is of vital importance in heart disease diagnosis but is conventionally limited by its complex workflow that requires dedicated phase and bolus monitoring devices [e.g., electrocardiogram (ECG) gating]. Our previous work has demonstrated the possibility of replacing ECG devices with deep learning (DL)-based monitoring of continuously acquired pulsed mode projections (PMPs, i.e., only a few sparsely sampled projections per gantry rotation). In this work, we report the development of a new projection domain DL-based cardiac phase estimation method that uses ensemble learning [i.e., training multiple convolution neural network (CNN) in parallel] to estimate and reduce DL uncertainty. The estimated DL uncertainty information was then used drive an analytical regularizer in a principled time-dependent manner (i.e., stronger regularization when DL uncertainty is higher). Combined with our previous work on PMP-based bolus curve estimation, the proposed method could potentially be used to achieve autonomous cardiac scanning in a robust (i.e., reduced uncertainty) manner without ECG and bolus timing devices.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

P. Wu, E. Haneda, I. Heukensfeldt Jansen, J. D. Pack, A. Hsiao, E. McVeigh, and B. De Man "Uncertainty estimation and reduction in deep learning-based projection domain cardiac phase estimation", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129251I (1 April 2024); https://doi.org/10.1117/12.3006075

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