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Spectroscopic measurements are presented using the PID350 pixelated gamma radiation detectors. A high-speed data acquisition system has been developed in order to reduce the data loss during the data reading in case of a high flux of…

Instrumentation and Detectors · Physics 2010-11-16 K. Karafasoulis , K. Zachariadou , S. Seferlis , I. Papadakis , D. Loukas , C. Lambropoulos , C. Potiriadis

It is critical to construct an accurate optical model of photomultiplier tubes (PMTs) in many applications to describe the angular and spectral responses of the photon detection efficiency (PDE) of the PMTs in their working media. In this…

Instrumentation and Detectors · Physics 2022-04-19 Yaoguang Wang , Guofu Cao , Liangjian Wen , Yifang Wang

We present the precision calibration of 35 Hamamatsu R11410-22 photomultiplier tubes (PMTs) with xenon scintillation light centred near 175 nm. This particular PMT variant was developed specifically for the LUX-ZEPLIN (LZ) dark matter…

Instrumentation and Detectors · Physics 2018-06-13 B. López Paredes , H. M. Araújo , F. Froborg , N. Marangou , I. Olcina , T. J. Sumner , R. Taylor , A. Tomás , A. Vacheret

Positron emission tomography (PET) suffers from severe resolution limitations which limit its quantitative accuracy. In this paper, we present a super-resolution (SR) imaging technique for PET based on convolutional neural networks (CNNs).…

Image and Video Processing · Electrical Eng. & Systems 2021-07-29 Tzu-An Song , Samadrita Roy Chowdhury , Fan Yang , Joyita Dutta

Objective: This paper introduces a novel PET imaging methodology called 3-dimensional positron imaging (3D{\pi}), which integrates total-body (TB) coverage, time-of-flight (TOF) technology, ultra-low dose imaging capabilities, and…

We are designing an all-scintillator Compton gamma imager for use in security investigations and remediation actions involving radioactive threat material. To satisfy requirements for a rugged and portable instrument, we have chosen solid…

Instrumentation and Detectors · Physics 2009-06-28 L. E. Sinclair , D. S. Hanna , A. M. L. MacLeod , P. R. B. Saull

Scattered coincidences introduce quantitative bias in positron emission tomography (PET) and must be compensated during reconstruction. Conventional scatter estimates typically rely on simplified cylindrical scanner models that omit…

The ClearMind project aims to develop a TOF-PET position-sensitive detection module optimized for time and spatial resolutions and detection efficiency. For this, we use a 59 mm $\times$ 59 mm $\times$ 5 mm monolithic PbWO$_4$ (PWO)…

Instrumentation and Detectors · Physics 2024-06-28 A. Galindo-Tellez , V. Sharyy , C. -H. Sung , M. Follin , L. Cappellugola , S. Curtoni , M. Dupont , C. Morel , D. Breton , J. Maalmi , D. Yvon

One of the major challenges in design and developing of PET, scanners are the presence of inactive areas between the detector blocks which degrade the image spatial resolution and leads to streaking artifacts especially when we employ…

Medical Physics · Physics 2019-06-19 Isaac Shiri , Peyman Sheikhzadeh , Mohammad Reza Ay

We have developed a position-sensitive scintillation camera with a large area absorber for use as an advanced Compton gamma-ray camera. At first we tested GSO(Ce) crystals. We compared light output from the GSO(Ce) crystals under various…

Astrophysics · Physics 2008-11-26 H. Nishimura , K. Hattori , H. Kubo , T. Tanimori

The distribution of the prompt gamma emissions induced by proton interactions in a target material carries information concerning the proton range and target composition. In order to image prompt gamma we present different approaches. The…

Purpose: Developing photon-counting CT detectors requires understanding the impact of parameters such as converter material, absorption length and pixel size. We apply a novel linear-systems framework, incorporating spatial and energy…

Medical Physics · Physics 2020-03-03 Mats Persson , Adam Wang , Norbert J. Pelc

Research conducted in the framework of the J-PET project aims to develop a cost-effective total-body positron emission tomography scanner. As a first step on the way to construct a full-scale J-PET tomograph from long strips of plastic…

Positron emission tomography (PET) is a critical tool for diagnosing tumors and neurological disorders but poses radiation risks to patients, particularly to sensitive populations. While reducing injected radiation dose mitigates this risk,…

Image and Video Processing · Electrical Eng. & Systems 2026-04-01 Yucun Hou , Fenglin Zhan , Xin Cheng , Chenxi Li , Ziquan Yuan , Runze Liao , Haihao Wang , Jianlang Hua , Jing Wu , Jianyong Jiang

We present a study of the application of the Jagiellonian Positron Emission Tomograph (J-PET) for the registration of gamma quanta from decays of ortho-positronium (o-Ps). The J-PET is the first positron emission tomography scanner based on…

In this article it is presented an FPGA based $M$ulti-$V$oltage $T$hreshold (MVT) system which allows of sampling fast signals ($1-2$ ns rising and falling edge) in both voltage and time domain. It is possible to achieve a precision of time…

Fourier Ptychographic Microscopy (FPM) is a recent technique to overcome the diffraction limit of a low numerical aperture (NA) objective lens by algorithmic post-processing of several lower resolved images. It can increase the…

Depth distributions of positron-emitting nuclei in PMMA phantoms are calculated within a Monte Carlo model for Heavy-Ion Therapy (MCHIT) based on the GEANT4 toolkit (version 8.0). The calculated total production rates of $^{11}$C, $^{10}$C…

Medical Physics · Physics 2007-05-23 Igor Pshenichnov , Igor Mishustin , Walter Greiner

The central institute of electronics (ZEA-2) in the Forschungszentrum Juelich (FZJ) has developed a system to scan the response of the photocathode of photomultiplier tubes (PMT). The PMT sits tight on a supporting structure, while a blue…

Instrumentation and Detectors · Physics 2013-07-05 R. Fabbri

This study presents FP-PET, a comprehensive approach to medical image segmentation with a focus on CT and PET images. Utilizing a dataset from the AutoPet2023 Challenge, the research employs a variety of machine learning models, including…

Computer Vision and Pattern Recognition · Computer Science 2023-09-25 Yixin Chen , Ourui Fu , Wenrui Shao , Zhaoheng Xie