
Óscar Peña-Nogales- University of Valladolid
Óscar Peña-Nogales
- University of Valladolid
About
15
Publications
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Introduction
Current institution
Publications
Publications (15)
Background and Objective: Synthetic magnetic resonance imaging (MRI) is a low cost procedure that serves as a bridge between qualitative and quantitative MRI. However, the proposed methods require very specific sequences or private protocols which have scarcely found integration in clinical scanners. We propose a learning-based approach to compute...
Parametric MR maps (T1, T2 and PD) not only play a key role in quantitative imaging but they also have the capability of synthesizing any modality. However, their direct acquisition is hardly used in practice due to the need of lengthy relaxometry protocols. Synthetic MRI is a surrogate; however, no approach has been described to synthesize these m...
Open source diffusion acquisition software
In this manuscript we derive the Cramér-Rao Lower Bound (CRLB) of the monoexponential diffusion-weighted signal model under a realistic noise assumption, and propose a formulation to obtain optimized sets of b-values that maximize the noise performance of the Apparent Diffusion Coefficient (ADC) maps given a target ADC and a signal-to-noise ratio....
Purpose
To develop motion‐robust, blood‐suppressed diffusion‐weighted imaging (DWI) of the liver with optimized diffusion encoding waveforms and evaluate the accuracy and reproducibility of quantitative apparent diffusion coefficient (ADC) measurements.
Methods
A novel approach for the design of diffusion weighting waveforms, termed M1‐optimized d...
Parkinson’s disease is the second most prevalent neurodegenerative disorder in the Western world. It is estimated that the neuronal loss related to Parkinson’s disease precedes the clinical diagnosis by more than 10 years (prodromal phase) which leads to a subtle decline that translates into non-specific clinical signs and symptoms. By leveraging d...
Purpose
To present a novel Optimized Diffusion‐weighting Gradient waveform Design (ODGD) method for the design of minimum echo time (TE), bulk motion‐compensated, and concomitant gradient (CG)‐nulling waveforms for diffusion MRI.
Methods
ODGD motion‐compensated waveforms were designed for various moment‐nullings Mn (n = 0, 1, 2), for a range of b‐...
Registration of diffusion weighted datasets remains a challenging task in the process of quantifying diffusion indexes. Respiratory and cardiac motion, as well as echo-planar characteristic geometric distortions, may greatly limit accuracy on parameter estimation, specially for the liver. This work proposes a methodology for the non-rigid registrat...
Introduction: The RLS instrument is a Raman spectrometer which is part of the rover payload of ESA's 2018 ExoMars mission. In order to optimize the spectra acquisition, RLS will be equipped with a set of algorithmic tools to automatically optimize the acquisition parameters taking into account the onboard available time and resources. The set of al...