Browsing by Author "Milovic Fabregat, Carlos Andres"
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- ItemA Fast Algorithm for Nonlinear QSM Reconstruction(2017) Milovic Fabregat, Carlos Andres
- ItemA Fast algorithm for nonlinear QSM reconstruction with variational penalties(2016) Milovic Fabregat, Carlos Andres
- ItemA multi-scale approach to quantitative susceptibility mapping (MSDI)(2018) Milovic Fabregat, Carlos Andres
- ItemDeepSPIO: A SPIO particles quantification method using Deep Learning(2019) Milovic Fabregat, Carlos Andres
- ItemDeepSPIO: Super Paramagnetic Iron Oxide Particle Quantification using Deep Learning in Magnetic Resonance Imaging(2020) della Maggiora Valdés, Gabriel Eugenio; Milovic Fabregat, Carlos Andrés; Qiu, Wenqi; Liu, Shuang; Milovic Fabregat, Carlos Andres; Sekino, Masaki; Tejos Nunez, Cristian Andres; Uribe Arancibia, Sergio A.; Irarrazaval Barros, PabloThe susceptibility of Super Paramagnetic Iron Oxide (SPIO) particles makes them a useful contrast agent for different purposes in MRI. These particles are typically quantified with relaxometry or by measuring the inhomogeneities they produced. These methods rely on the phase, which is unreliable for high concentrations. We present in this study a novel Deep Learning method to quantify the SPIO concentration distribution. We acquired the data with a new sequence called View Line in which the field map information is encoded in the geometry of the image. The novelty of our network is that it uses residual blocks as the bottleneck and multiple decoders to improve the gradient flow in the network. Each decoder predicts a different part of the wavelet decomposition of the concentration map. This decomposition improves the estimation of the concentration, and also it accelerates the convergence of the model. We tested our SPIO concentration reconstruction technique with simulated images and data from actual scans from phantoms. The simulations were done using images from the IXI dataset, and the phantoms consisted of plastic cylinders containing agar with SPIO particles at different concentrations. In both experiments, the model was able to quantify the distribution accurately.
- ItemHigh Levels of Leptin Reduces Ciliary Activity and Affects Ovum Transport Velocity in the Rat Oviduct(2011) Milovic Fabregat, Carlos Andres
- ItemImproved magnetic dipole kernel for reconstruction methods in quantitative susceptibility mapping(2016) Milovic Fabregat, Carlos Andres
- ItemMultiscale Spherical Mean Value based background field removal method for Quantitative Susceptibility Mapping.(2019) Milovic Fabregat, Carlos Andres
- ItemNonlinear projection onto dipole fields with preconditioning (nPDF)(2018) Milovic Fabregat, Carlos Andres
- ItemParameter selection in total generalized variation based reconstruction problems(2016) Milovic Fabregat, Carlos Andres
- ItemQSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures(2021) José P. Marques; Jakob Meineke; Milovic Fabregat, Carlos Andres; Berkin Bilgic; Kwok‐Shing Chan; Renaud Hedouin; Wietske van der Zwaag; Christian Langkammer; Ferdinand Schweser
- ItemQSM reconstruction challenge 2.0: Design and report of results(2021) Berkin Bilgic; Christian Langkammer; José P. Marques; Jakob Meineke; Milovic Fabregat, Carlos Andres; Ferdinand Schweser
- ItemQuantitative Susceptibility Mapping MRI shows changes in dorsal striatum in patients with a first Episode of Psychosis compared to controls(2019) Milovic Fabregat, Carlos Andres
- ItemQuantitative Susceptibility Mapping shows differences in substantia nigra of individuals with 22q11.2 deletion syndrome and control(2019) Milovic Fabregat, Carlos Andres
- ItemTowards QSM Challenge 2.0: Creation and Evaluation of a Realistic Magnetic Susceptibility Phantom(2019) Milovic Fabregat, Carlos Andres
- ItemWeak-harmonic regularization for quantitative susceptibility mapping (WH-QSM)(2018) Milovic Fabregat, Carlos Andres