Valentino Bettinardi

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A new prior for variational Maximum a Posteriori regularization is proposed to be used in a 3D One-Step-Late (OSL) reconstruction algorithm accounting also for the Point Spread Function (PSF) of the PET system. The new regularization prior strongly smoothes background regions, while preserving transitions. A detectability index is proposed to optimize the(More)
We are proposing a regularized reconstruction strategy for the detection of bone lesions in (18)F-fluoride whole body PET images obtained with 1 min/bed using the anatomical information provided by co-registered CT images. Bones are recognized on CT images and then transposed into the PET volume framework. During PET reconstruction, two different priors are(More)
UNLABELLED Respiratory motion can potentially reduce accuracy in anatomic and functional image fusion from multimodality systems. It can blur the uptake of small lesions and lead to significant activity underestimation. Solutions presented to date include respiration-synchronized anatomic and functional acquisitions. To increase the signal-to-noise ratio of(More)
This study aims at evaluating the dependence of 4D-PET data sorting on the number of phases in which the respiratory cycle can be divided. The issue is to find the best compromise to reduce the conflicting effects induced by increasing the number of phases: lesion motion on each set of images decreases, but on the other hand image noise increases. The IQ(More)
We have developed a method that needs only the computed tomography (CT) indicator box to coregister positron emission tomography (PET) images and integrates this information with magnetic resonance imaging. The study was performed using a PET/CT scanner. A standard CT bed adapter was attached to the scanner couch. Then, the patient, with the Leksell G frame(More)
A non-Gaussian smoothing (NGS) technique is developed for filtering low count transmission (TR) data to be used for attenuation correction (AC) of positron emission tomography (PET) studies. The method is based on a statistical technique known as the generalized linear mixed model that allows an inverse link function that avoids the inversion of the(More)
We present a object-oriented library of C++ features for 3D PET reconstruction. This library has been designed so that it can be used for many algorithms and scanner geometries. Its flexibility, portability and modular design have helped greatly to (a) develop new iterative algorithms, (b) compare iterative and analytic methods using simulated, phantom and(More)
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