# Fast full-body reconstruction for a functional human RPC-PET imaging   system using list-mode simulated data and its applicability to radiation   oncology and radiology

**Authors:** Paulo Magalhaes Martins, Paulo Crespo, Miguel Couceiro, Nuno Chichorro, Ferreira, Rui Ferreira Marques, Joao Seco, Paulo Fonte

arXiv: 1706.07075 · 2017-06-23

## TL;DR

This paper introduces a fast, fully 3D TOF-based reconstruction algorithm for RPC-PET systems, enabling rapid whole-body imaging suitable for clinical workflows, demonstrated through realistic simulations and GPU acceleration.

## Contribution

It presents the first realistic, full-body RPC-PET reconstruction method using list-mode data with GPU support, achieving clinically relevant processing times.

## Key findings

- Reconstruction time of 3.5 minutes for a 7-minute scan
- Significant scatter reduction from 57.1% to 32.9%
- Feasible clinical workflow with GPU acceleration

## Abstract

Single-bed whole-body positron emission tomography based on resistive plate chamber detectors (RPC-PET) has been proposed for human studies, as a complementary resource to scintillator-based PET scanners. The purpose of this work is mainly about providing a reconstruction solution to such whole-body single-bed data collection on an event-by-event basis. We demonstrate a fully three-dimensional time-of-flight (TOF)-based reconstruction algorithm that is capable of processing the highly inclined lines of response acquired from a system with a very large axial field of view, such as those used in RPC-PET. Such algorithm must be sufficiently fast that it will not compromise the clinical workflow of an RPC-PET system. We present simulation results from a voxelized version of the anthropomorphic NCAT phantom, with oncological lesions introduced into critical regions within the human body. The list-mode data was reconstructed with a TOF-weighted maximum-likelihood expectation maximization (MLEM). To accelerate the reconstruction time of the algorithm, a multi-threaded approach supported by graphical processing units (GPUs) was developed. Additionally, a TOF-assisted data division method is suggested that allows the data from nine body regions to be reconstructed independently and much more rapidly. The application of a TOF-based scatter rejection method reduces the overall body scatter from 57.1% to 32.9%. The results also show that a 300-ps FWHM RPC-PET scanner allows for the production of a reconstructed image in 3.5 minutes following a 7-minute acquisition upon the injection of 2 mCi of activity (146 M coincidence events). We present for the first time a full realistic reconstruction of a whole body, long axial coverage, RPC-PET scanner. We demonstrate clinically relevant reconstruction times comparable (or lower) to the patient acquisition times on both multi-threaded CPU and GPU.

## Full text

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## Figures

27 figures with captions in the complete paper: https://tomesphere.com/paper/1706.07075/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/1706.07075/full.md

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Source: https://tomesphere.com/paper/1706.07075