Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing clinical MRI Perfusion maps with data-driven maps of
  complementary nature for lesion outcome prediction   Stroke is the second most common cause of death in developed countries, where
rapid clinical intervention can have a major impact on a patient's life. To
perform the revascularization procedure, the decision making of physicians
considers its risks and benefits based on multi-modal MRI and clinical
experience. Therefore, automatic prediction of the ischemic stroke lesion
outcome has the potential to assist the physician towards a better stroke
assessment and information about tissue outcome. Typically, automatic methods
consider the information of the standard kinetic models of diffusion and
perfusion MRI (e.g. Tmax, TTP, MTT, rCBF, rCBV) to perform lesion outcome
prediction. In this work, we propose a deep learning method to fuse this
information with an automated data selection of the raw 4D PWI image
information, followed by a data-driven deep-learning modeling of the underlying
blood flow hemodynamics. We demonstrate the ability of the proposed approach to
improve prediction of tissue at risk before therapy, as compared to only using
the standard clinical perfusion maps, hence suggesting on the potential
benefits of the proposed data-driven raw perfusion data modelling approach.

20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom