Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic
  Imaging in vivo   Photoacoustic imaging (PAI) is an emerging non-invasive imaging modality
combining the advantages of deep ultrasound penetration and high optical
contrast. Image reconstruction is an essential topic in PAI, which is
unfortunately an ill-posed problem due to the complex and unknown
optical/acoustic parameters in tissue. Conventional algorithms used in PAI
(e.g., delay-and-sum) provide a fast solution while many artifacts remain,
especially for linear array probe with limited-view issue. Convolutional neural
network (CNN) has shown state-of-the-art results in computer vision, and more
and more work based on CNN has been studied in medical image processing
recently. In this paper, we present a non-iterative scheme filling the gap
between existing direct-processing and post-processing methods, and propose a
new framework Y-Net: a CNN architecture to reconstruct the PA image by
optimizing both raw data and beamformed images once. The network connected two
encoders with one decoder path, which optimally utilizes more information from
raw data and beamformed image. The results of the test set showed good
performance compared with conventional reconstruction algorithms and other deep
learning methods. Our method is also validated with experiments both in-vitro
and in vivo, which still performs better than other existing methods. The
proposed Y-Net architecture also has high potential in medical image
reconstruction for other imaging modalities beyond PAI.

33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat