212 research outputs found
Electron spin-echo studies of spin-labelled lipid membranes and free fatty acids interacting with human serum albumin
Comparison of Travoprost and Bimatoprost plus timolol fixed combinations in open-angle glaucoma patients previously treated with latanoprost plus timolol fixed combination
To compare the ocular hypotensive effect of bimatoprost plus timolol and travoprost plus timolol fixed combinations in glaucoma patients whose disease was controlled but had not reached their target intraocular pressure (IOP) with the fixed combination of latanoprost plus timolol
Risk factors for infections due to carbapenem-resistant Klebsiella pneumoniae after cardiac surgery
Energetic aspects of turfgrass mowing: comparison of different rotary mowing systems.
Turfgrass mowing is one of the most important operations concerning turfgrass maintenance.
Over time, dierent mowing machines have been developed, such as reel mowers, rotary mowers,
and flail mowers. Rotary mowers have become the most widespread mowers for their great versatility
and easy maintenance. Modern rotary mowers can be equipped with battery-powered electric motors
and precise settings, such as blade rpm. The aim of this trial was to evaluate the dierences in
power consumption of a gasoline-powered rotary mower and a battery-powered rotary mower. Each
mower worked on two dierent turfgrass species (bermudagrass and tall fescue) fertilized with two
dierent nitrogen rates (100 and 200 kg ha1). The battery-powered mower was set at its lowest and
highest blade rpm value, while the gasoline-powered mower was set at full throttle. From the data
acquired, it was possible to see that the gasoline-powered mower had a much higher primary energy
requirement, independent of the turf species. Moreover, comparing the electricity consumption of
the battery-powered mower over time, it was possible to see that the power consumption varied
according to the growth rate of both turf species. These results show that there is a partial waste of
energy when using a gasoline-powered mower compared to a battery-powered mower
A novel random counts estimation method for PET using a symmetrical delayed window technique and random single event acquisition
We have developed a novel logic scheme for the estimation of the random count distribution based on a dual symmetrical delayed window technique. The solution has been applied to a dual head PET case. We have also implemented a new method for noise variance reduction in the random count distribution
First full-beam PET acquisitions in proton therapy with a modular dual-head dedicated system
During particle therapy irradiation, positron emitters with half-lives ranging from 2 to 20 min are generated from nuclear processes. The half-lives are such that it is possible either to detect the positron signal in the treatment room using an in-beam positron emission tomography (PET) system, right after the irradiation, or to quickly transfer the patient to a close PET/CT scanner. Since the activity distribution is spatially correlated with the dose, it is possible to use PET imaging as an indirect method to assure the quality of the dose delivery. In this work, we present a new dedicated PET system able to operate in-beam. The PET apparatus consists in two 10 cm × 10 cm detector heads. Each detector is composed of four scintillating matrices of 23 × 23 LYSO crystals. The crystal size is 1.9 mm × 1.9 mm × 16 mm. Each scintillation matrix is read out independently with a modularized acquisition system. The distance between the two opposing detector heads was set to 20 cm. The system has very low dead time per detector area and a 3 ns coincidence window, which is capable to sustain high single count rates and to keep the random counts relatively low. This allows a new full-beam monitoring modality that includes data acquisition also while the beam is on. The PET system was tested during the irradiation at the CATANA (INFN, Catania, Italy) cyclotron-based proton therapy facility. Four acquisitions with different doses and dose rates were analysed. In all cases the random to total coincidences ratio was equal or less than 25%. For each measurement we estimated the accuracy and precision of the activity range on a set of voxel lines within an irradiated PMMA phantom. Results show that the inclusion of data acquired during the irradiation, referred to as beam-on data, improves both the precision and accuracy of the range measurement with respect to data acquired only after irradiation. Beam-on data alone are enough to give precisions better than 1 mm when at least 5 Gy are delivered
Full-beam performances of a PET detector with synchrotron therapeutic proton beams
Treatment quality assessment is a crucial feature for both present and nextgeneration ion therapy facilities. Several approaches are being explored, based on prompt radiation emission or on PET signals by β+;-decaying isotopes generated by beam interactions with the body. In-beam PET monitoring at synchrotron-based ion therapy facilities has already been performed, either based on inter-spill data only, to avoid the influence of the prompt radiation, or including both in-spill and inter-spill data. However, the PET images either suffer of poor statistics (inter-spill) or are more influenced by the background induced by prompt radiation (in-spill). Both those problems are expected to worsen for accelerators with improved duty cycle where the inter-spill interval is reduced to shorten the treatment time. With the aim of assessing the detector performance and developing techniques for background reduction, a test of an in-beam PET detector prototype was performed at the CNAO synchrotron-based ion therapy facility in full-beam acquisition modality. Data taken with proton beams impinging on PMMA phantoms showed the system acquisition capability and the resulting activity distribution, separately reconstructed for the in-spill and the inter-spill data. The coincidence time resolution for in-spill and inter-spill data shows a good agreement, with a slight deterioration during the spill. The data selection technique allows the identification and rejection of most of the background originated during the beam delivery. The activity range difference between two different proton beam energies (68 and 72 MeV) was measured and found to be in submillimeter agreement with the expected result. However, a slightly longer (2 mm) absolute profile length is obtained for in-spill data when compared to inter-spill data
Proton range monitoring with in-beam PET: Monte Carlo activity predictions and comparison with cyclotron data
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Analysis methods for in-beam PET images in proton therapy treatment verification: a comparison based on Monte Carlo simulations
Background and purpose: In-beam Positron Emission Tomography (PET) is one of
the modalities that can be used for in-vivo non-invasive treatment monitoring
in proton therapy. PET distributions obtained during various treatment sessions
can be compared in order to identify regions that have anatomical changes. The
purpose of this work is to test and compare different analysis methods in the
context of inter-fractional PET image comparison for proton treatment
verification.
Methods: For our study we used the FLUKA Monte Carlo code and artificially
generated CT scans to simulate in-beam PET distributions at different stages
during proton therapy treatment. We compared the Beam-Eye-View method, the
Most-Likely-Shift method, the Voxel-Based-Morphology method and the gamma
evaluation method to compare PET images at the start of treatment, and after a
few weeks of treatment. The results were compared to the CT scan.
Results and conclusions: Three-dimensional methods like VBM and gamma are
preferred above two-dimensional methods like MLS and BEV if much statistics is
available, since the these methods allow to identify the regions with anomalous
activity. The VBM approach has as disadvantage that a larger number of MC
simulations is needed. The gamma analysis has the disadvantage that no clinical
indication exist on tolerance criteria. In terms of calculation time, the BEV
and MLS method are preferred. We recommend to use the four methods together, in
order to best identify the location and cause of the activity changes.Comment: 9 pages, 5 figure
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