4 papers
Statistical characterization of residual noise in the low-rank approximation filter framework, general theory and application to hyperpolarized tracer spectroscopy
R. Francischello, M. F. Santarelli, A. Flori +2
The use of low-rank approximation filters in the field of NMR is increasing due to their flexibility and effectiveness. Despite their ability to reduce the Mean Square Error betwee…
Robust reconstruction of cardiac T1 maps using RNNs
Nicola Martini, Alessio Vatti, Andrea Ripoli +5
Cardiac magnetic resonance parametric T1 maps are typically reconstructed using non-linear fitting. However this method has limitations due to the high computational cost and robus…
Probabilistic Graphical Modeling approach to dynamic PET direct parametric map estimation and image reconstruction
Michele Scipioni, Stefano Pedemonte, Maria Filomena Santarelli +1
In the context of dynamic emission tomography, the conventional processing pipeline consists of independent image reconstruction of single time frames, followed by the application…
Kinetic Compressive Sensing
Michele Scipioni, Maria F. Santarelli, Luigi Landini +4
Parametric images provide insight into the spatial distribution of physiological parameters, but they are often extremely noisy, due to low SNR of tomographic data. Direct estimati…