Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stabilizing Deep Tomographic Reconstruction   Tomographic image reconstruction with deep learning is an emerging field, but
a recent landmark study reveals that several deep reconstruction networks are
unstable for computed tomography (CT) and magnetic resonance imaging (MRI).
Specifically, three kinds of instabilities were reported: (1) strong image
artefacts from tiny perturbations, (2) small features missing in a deeply
reconstructed image, and (3) decreased imaging performance with increased input
data. On the other hand, compressed sensing (CS) inspired reconstruction
methods do not suffer from these instabilities because of their built-in kernel
awareness. For deep reconstruction to realize its full potential and become a
mainstream approach for tomographic imaging, it is thus critically important to
meet this challenge by stabilizing deep reconstruction networks. Here we
propose an Analytic Compressed Iterative Deep (ACID) framework to address this
challenge. ACID synergizes a deep reconstruction network trained on big data,
kernel awareness from CS-inspired processing, and iterative refinement to
minimize the data residual relative to real measurement. Our study demonstrates
that the deep reconstruction using ACID is accurate and stable, and sheds light
on the converging mechanism of the ACID iteration under a Bounded Relative
Error Norm (BREN) condition. In particular, the study shows that ACID-based
reconstruction is resilient against adversarial attacks, superior to classic
sparsity-regularized reconstruction alone, and eliminates the three kinds of
instabilities. We anticipate that this integrative data-driven approach will
help promote development and translation of deep tomographic image
reconstruction networks into clinical applications.

35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an