Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast and memory-efficient reconstruction of sparse Poisson data in
  listmode with non-smooth priors with application to time-of-flight PET   In this work, we propose and analyze a listmode (LM) version of the
stochastic primal-dual hybrid gradient (SPDHG) algorithm for image
reconstruction of sparse data following a Poisson distribution using subsets
and non-smooth priors. Since data from state-of-the-art time of flight (TOF)
PET scanners are huge but at the same time extremely sparse, listmode based
algorithms, as the proposed LM-SDPHG algorithm, substantially reduces both
memory requirements and computation time. Based on realistic simulations in 2D
and 3D, we show that the speed of convergence of LM-SPDHG is the same as the
one of the original SPDHG operating on binned data (sinograms). For a
state-of-the-art TOF PET system with 400 ps TOF resolution and 25 cm axial FOV,
LM SPDHG reduces the required memory from approximately 56 GB to 0.7 GB for a
short dynamic frame with 1e7 prompt coincidences and to 12.4 GB for a long
static acquisition with 5e8 prompt coincidences. In contrast to SPDHG, the
reduced memory requirements of LM-SPDHG consequently enables a pure GPU
implementation using state-of-the-art GPUs which will accelerate reconstruction
times even further.

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The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
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The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn