Application of Gated Recurrent Units for CT Trajectory Optimization

Yuan Y, Schneider LS, Maier A (2024)

Publication Status: Submitted

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Journal article

Publication year: 2024

Event location: Bamberg DE

DOI: 10.48550/arXiv.2405.09333

Abstract

Recent advances in computed tomography (CT) imaging, especially with dual-robot systems, have introduced new challenges for scan trajectory optimization. This paper presents a novel approach using Gated Recurrent Units (GRUs) to optimize CT scan trajectories. Our approach exploits the flexibility of robotic CT systems to select projections that enhance image quality by improving resolution and contrast while reducing scan time. We focus on cone-beam CT and employ several projection-based metrics, including absorption, pixel intensities, contrast-to-noise ratio, and data completeness. The GRU network aims to minimize data redundancy and maximize completeness with a limited number of projections. We validate our method using simulated data of a test specimen, focusing on a specific voxel of interest. The results show that the GRU-optimized scan trajectories can outperform traditional circular CT trajectories in terms of image quality metrics. For the used specimen, SSIM improves from 0.38 to 0.49 and CNR increases from 6.97 to 9.08. This finding suggests that the application of GRU in CT scan trajectory optimization can lead to more efficient, cost-effective, and high-quality imaging solutions.

Authors with CRIS profile

Linda-Sophie Schneider Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

How to cite

APA:

Yuan, Y., Schneider, L.-S., & Maier, A. (2024). Application of Gated Recurrent Units for CT Trajectory Optimization. In Proceedings of the CT Meeting 2024. Bamberg, DE.

MLA:

Yuan, Yuedong, Linda-Sophie Schneider, and Andreas Maier. "Application of Gated Recurrent Units for CT Trajectory Optimization." Proceedings of the CT Meeting 2024, Bamberg 2024.

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