Elisa Scalco
National Research Council
RadiologyBiomedical engineeringArtificial intelligenceImage registrationPattern recognitionMaterials scienceDeformation (meteorology)TomotherapyTexture (geology)Parotid glandHead neck cancerNuclear medicineComputer visionMathematicsComputer scienceVolume (compression)Radiation therapyFuzzy logicLinear discriminant analysisMedicineIntravoxel incoherent motionSegmentation
52Publications
11H-index
403Citations
Publications 53
Newest
#1Elisa Scalco (National Research Council)H-Index: 11
#2Alfonso Mastropietro (National Research Council)H-Index: 12
Last. Giovanna Rizzo (National Research Council)H-Index: 34
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Abstract null null Purpose null To propose a multivariate multi-step framework for a systematic assessment of the estimation reliability and discriminability of Intravoxel Incoherent Motion (IVIM) model parameters. null null null Methods null Monte-Carlo simulations were generated on a range of SNRs and in different IVIM combinations considering: i) a dense discretization with 24 b-values; ii) a discretization with 9 b-values. A state-of-the-art Bayesian fitting method was adopted. The framework...
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#1Wolfgang SauerweinH-Index: 24
#2Lucie Sancey (French Institute of Health and Medical Research)H-Index: 32
Last. Andrea WittigH-Index: 26
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Boron neutron capture therapy (BNCT) has the potential to specifically destroy tumor cells without damaging the tissues infiltrated by the tumor. BNCT is a binary treatment method based on the combination of two agents that have no effect when applied individually: 10B and thermal neutrons. Exclusively, the combination of both produces an effect, whose extent depends on the amount of 10B in the tumor but also on the organs at risk. It is not yet possible to determine the 10B concentration in a s...
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#1Lucia FontanaH-Index: 1
Last. Giovanna Rizzo (Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico)H-Index: 1
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#1Elisa ScalcoH-Index: 11
#2Antonella BelfattoH-Index: 5
Last. Giovanna RizzoH-Index: 34
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PURPOSE: Despite its increasing application, radiomics has not yet demonstrated a solid reliability, due to the difficulty in replicating analyses. The extraction of radiomic features from clinical MRI (T1w/T2w) presents even more challenges because of the absence of well-defined units (e.g. HU). Some preprocessing steps are required before the estimation of radiomic features and one of this is the intensity normalization, that can be performed using different methods. The aim of this work was t...
26 CitationsSource
#1Ettore LanzaroneH-Index: 12
Last. Giovanna RizzoH-Index: 34
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The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion coefficients of water molecules in biological tissues, which are used in cancer applications. The most reported fitting approach is a voxel-wise segmented non-linear least square, whereas Bayesian approaches with a direct fit, also considering spatial regularization, were proposed too. In this work a novel segmented Bayesian method was proposed, also in combination with a spatial regularization ...
3 CitationsSource
#1Elisa ScalcoH-Index: 11
#2Tiziana RancatiH-Index: 27
Last. Giovanna RizzoH-Index: 34
view all 7 authors...
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#1Edgar R. Arce-Santana (Universidad Autónoma de San Luis Potosí)H-Index: 11
#2Aldo R. Mejia-Rodriguez (Universidad Autónoma de San Luis Potosí)H-Index: 4
Last. Giovanna RizzoH-Index: 34
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In medical imaging, the availability of robust and accurate automatic segmentation methods is very important for a user-independent and time-saving delineation of regions of interest. In this work, we present a new variational formulation for multiclass image segmentation based on active contours and probability density functions demonstrating that the method is fast, accurate, and effective for MRI brain image segmentation. We define an energy function assuming that the regions to segment are i...
4 CitationsSource
#1Ettore LanzaroneH-Index: 12
#2Elisa ScalcoH-Index: 11
Last. Giovanna RizzoH-Index: 34
view all 5 authors...
The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion parameters of water molecules in biological tissues, which are used as biomarkers for different diseases. However, the standard approach to obtain the maps of these parameters is based on a voxel-by-voxel estimation and neglects the spatial correlations, thus resulting in noisy maps. To get better maps, we propose a Bayesian approach that exploits a Conditional Autoregressive (CAR) prior density...
1 CitationsSource
#2Simone PorcelliH-Index: 17
Last. Giovanna RizzoH-Index: 34
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The main aim of this paper was to propose triggered intravoxel incoherent motion (IVIM) imaging sequences for the evaluation of perfusion changes in calf muscles before, during and after isometric intermittent exercise. Twelve healthy volunteers were involved in the study. The subjects were asked to perform intermittent isometric plantar flexions inside the MRI bore. MRI of the calf muscles was performed on a 3.0 T scanner and diffusion-weighted (DW) images were obtained using eight different b ...
10 CitationsSource
#1Elisa ScalcoH-Index: 11
#2Tiziana RancatiH-Index: 27
Last. Giovanna RizzoH-Index: 34
view all 10 authors...
PURPOSE: To investigate the potential of texture analysis applied on T2-w and postcontrast T1-w images acquired before radiotherapy for prostate cancer (PCa) and 12 months after its completion in quantitatively characterizing local radiation effect on the muscular component of internal obturators, as organs potentially involved in urinary toxicity. METHODS: T2-w and postcontrast T1-w MR images were acquired at 1.5 T before treatment (MRI1) and at 12 months of follow-up (MRI2) in 13 patients trea...
5 CitationsSource