1,569 research outputs found
Deep Learning for Accelerated Ultrasound Imaging
In portable, 3-D, or ultra-fast ultrasound (US) imaging systems, there is an
increasing demand to reconstruct high quality images from limited number of
data. However, the existing solutions require either hardware changes or
computationally expansive algorithms. To overcome these limitations, here we
propose a novel deep learning approach that interpolates the missing RF data by
utilizing the sparsity of the RF data in the Fourier domain. Extensive
experimental results from sub-sampled RF data from a real US system confirmed
that the proposed method can effectively reduce the data rate without
sacrificing the image quality.Comment: Invited paper for ICASSP 2018 Special Session for "Machine Learning
in Medical Imaging: from Measurement to Diagnosis
Confronting the fourth generation two Higgs doublet model with the phenomenology of heavy Higgs bosons
A sequential fourth generation is known to be excluded because the
non-decoupling contribution to , the Higgs coupling modifier with a
gluon pair, is unacceptably large. Recently a new way to save the model was
suggested in the Type-II two Higgs doublet model: if the Yukawa couplings of
down-type fermions have wrong-sign, the contributions from and to
are cancelled. We study the theoretical and experimental constraints
on this model, focusing on the heavy Higgs bosons. Two constraining features
are pointed out. First the exact wrong-sign limit does not allow the alignment,
which makes the perturbative unitarity for the scalar-scalar scattering put the
upper bounds on the heavy Higgs boson masses like GeV
and GeV. Secondly, the Yukawa couplings of the fourth
generation fermions to the heavy Higgs bosons are generically large as being
proportional to the heavy fermion mass and, for the down-type fermions, to
as well. The gluon fusion productions of and through the
fourth generation quark loops become significant. We found that the current LHC
data on for along with the theoretical and indirect
constraints exclude the model at leading order.Comment: 30 pages with 17 figure
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