Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Photoacoustic digital brain: numerical modelling and image
  reconstruction via deep learning   Photoacoustic tomography (PAT) is a newly developed medical imaging modality,
which combines the advantages of pure optical imaging and ultrasound imaging,
owning both high optical contrast and deep penetration depth. Very recently,
PAT is studied in human brain imaging. Nevertheless, while ultrasound waves are
passing through the human skull tissues, the strong acoustic attenuation and
aberration will happen, which causes photoacoustic signals' distortion. In this
work, we use 10 magnetic resonance angiography (MRA) human brain volumes, and
manually segment them to obtain the 2D human brain numerical phantoms for PAT.
The numerical phantoms contain six kinds of tissues which are scalp, skull,
white matter, gray matter, blood vessel and cerebral cortex. For every
numerical phantom, optical properties are assigned to every kind of tissues.
Then, Monte-Carlo based optical simulation is deployed to obtain the
photoacoustic initial pressure. Then, we made two k-wave simulation cases: one
takes inhomogeneous medium and uneven sound velocity into consideration, and
the other not. Then we use the sensor data of the former one as the input of
U-net, and the sensor data of the latter one as the output of U-net to train
the network. We randomly choose 7 human brain PA sinograms as the training
dataset and 3 human brain PA sinograms as the testing set. The testing result
shows that our method could correct the skull acoustic aberration and obtain
the blood vessel distribution inside the human brain satisfactorily.

20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci