Objective: The aim of this article was to share 10 years of operational experience of medical cyclotron and to provide working knowledge on the same. This experience has helped us gain working knowledge on cyclotron operation with practical points, which may help in improving F yield, minimizing the breakdown time, and help in the prevention of the occurrence of unusual events.
Materials And Methods: Our facility has a self-shielded radioisotope delivery system eclipse 111 medical cyclotron with an 11 MeV proton beam in use for the past 10 years to produce positron emitters - namely, F, N, and F-2 gas - for PET imaging. During F production, we have followed a set protocol comprising the following: monitoring target pressure, rinsing the target with O water just immediately after bombardment, ion source feedback, radiofrequency (RF) feedback, and recording any unusual events that occurred during the operation. Besides this, enrichment of O water, target volume, target current, energy of the beam, variation in argon pressure on the target, bombardment duration, target status (new or old target or total number of previous bombardments on the same target), status of the delivery lines from target to the radiochemistry module (old or new) were also recorded.
Results: Rinsing with O water immediately after bombardment increases the life of the target and delivery line. The frequent problems encountered were with the ion source, RF, and target foil rupture. These problems were solved by rebuilding the ion source, changing the fuse of RF, and rebuilding the target.
Conclusion: F yield can be increased by rinsing with O water immediately after bombardment. The effect of target leak - that is, rupture of vacuum window - can be avoided by immediate stoppage of bombardment.
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http://dx.doi.org/10.1097/MNM.0000000000000598 | DOI Listing |
Sleep
January 2025
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).
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Health Physics Division, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.
Over the last 15 years, there has been substantial growth in the installation of medical cyclotrons. This is mainly due to the increased demand for the production of positron emission tomography radiopharmaceuticals. In every country, there is a regulatory body that regulates the uses of medical cyclotron intending to protect occupational workers, the public, and the environment.
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November 2024
Department of Nuclear Medicine and Molecular Imaging, Homi Bhabha Cancer Hospital & Mahamana Pandit Madan Mohan Malaviya Cancer Centre, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Varanasi, India.
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December 2024
National Centre for Physics, Quaid-i-Azam University Campus Islamabad, Pakistan.
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University of Wisconsin Department of Medical Physics, 1111 Highland Avenue, Madison, WI 53705, United States of America; University of Wisconsin Department of Radiology, 600 Highland Avenue, Madison, WI 53792, United States of America. Electronic address:
We report DGA extraction chromatography isolation of Mn from isotopically enriched Fe. The method has been studied in semi-automated and automated realizations. The former achieves a decay corrected radiochemical yield of 78 ± 1 % (n = 3) and a separation factor of (1.
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