GPU accelerated image reconstruction in a two-strip J-PET tomograph
P. Bia{\l}as, J. Kowal, A. Strzelecki, T. Bednarski, E. Czerwi\'nski,, A. Gajos, D. Kami\'nska, {\L}. Kap{\l}on, A. Kochanowski, G. Korcyl, P., Kowalski, T. Kozik, W. Krzemie\'n, E. Kubicz, P. Moskal, Sz. Nied\'zwiecki,, M. Pa{\l}ka, L. Raczy\'nski, Z. Rudy, O. Rundel

TL;DR
This paper introduces a GPU-based implementation for rapid image reconstruction in a novel two-strip J-PET PET detector that uses only time of flight data, enhancing processing speed.
Contribution
The work provides the first GPU-accelerated reconstruction method tailored for a new PET detector relying solely on time of flight measurements.
Findings
Significantly faster reconstruction times achieved.
Effective utilization of GPU for specialized PET data.
Potential for real-time imaging applications.
Abstract
We present a fast GPU implementation of the image reconstruction routine, for a novel two strip PET detector that relies solely on the time of flight measurements.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
