Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Direct Reconstruction of Linear Parametric Images from Dynamic PET Using
  Nonlocal Deep Image Prior   Direct reconstruction methods have been developed to estimate parametric
images directly from the measured PET sinograms by combining the PET imaging
model and tracer kinetics in an integrated framework. Due to limited counts
received, signal-to-noise-ratio (SNR) and resolution of parametric images
produced by direct reconstruction frameworks are still limited. Recently
supervised deep learning methods have been successfully applied to medical
imaging denoising/reconstruction when large number of high-quality training
labels are available. For static PET imaging, high-quality training labels can
be acquired by extending the scanning time. However, this is not feasible for
dynamic PET imaging, where the scanning time is already long enough. In this
work, we proposed an unsupervised deep learning framework for direct parametric
reconstruction from dynamic PET, which was tested on the Patlak model and the
relative equilibrium Logan model. The patient's anatomical prior image, which
is readily available from PET/CT or PET/MR scans, was supplied as the network
input to provide a manifold constraint, and also utilized to construct a kernel
layer to perform non-local feature denoising. The linear kinetic model was
embedded in the network structure as a 1x1 convolution layer. The training
objective function was based on the PET statistical model. Evaluations based on
dynamic datasets of 18F-FDG and 11C-PiB tracers show that the proposed
framework can outperform the traditional and the kernel method-based direct
reconstruction methods.

8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph