Arnon Songmoolnak
- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Radiation Detection and Scintillator Technologies
- Radiation Therapy and Dosimetry
- Nuclear Physics and Applications
- Dark Matter and Cosmic Phenomena
- Nuclear reactor physics and engineering
- Statistical Methods and Bayesian Inference
- CCD and CMOS Imaging Sensors
- Luminescence Properties of Advanced Materials
- Computational Physics and Python Applications
- Pulsars and Gravitational Waves Research
- Medical Imaging Techniques and Applications
- advanced mathematical theories
- Photocathodes and Microchannel Plates
- Glass properties and applications
- Electron and X-Ray Spectroscopy Techniques
- Stochastic processes and statistical mechanics
- Radiation Shielding Materials Analysis
- Cosmology and Gravitation Theories
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced MRI Techniques and Applications
- Solar and Space Plasma Dynamics
University of Bergen
2020-2025
Suranaree University of Technology
2019-2024
A typical proton CT (pCT) detector comprises a tracking system, used to measure the position before and after imaged object, an energy/range residual range crossing object. The Bergen pCT collaboration was established design build prototype scanner with high granularity digital calorimeter (DTC) as both detector. In this work conceptual layout of mechanical electronics implementation, along Monte Carlo (MC) simulation new system are reported. DTC is multilayer structure lateral aperture 27...
Abstract Objective. Monolithic active pixel sensors are used for charged particle tracking in many applications, from medical physics to astrophysics. The Bergen pCT collaboration designed a sampling calorimeter proton computed tomography, based entirely on the ALICE PIxel DEtector (ALPIDE). same telescope can be in-situ range verification therapy. An accurate charge diffusion model is required convert deposited energy Monte Carlo simulations cluster of pixels, and estimate energy, given an...
Proton computed tomography (pCT) and radiography (pRad) are proposed modalities for improved treatment plan accuracy in situ validation proton therapy. The pCT system of the Bergen collaboration is able to handle very high particle intensities by means track reconstruction. However, incorrectly reconstructed secondary tracks degrade image quality. We have investigated whether a convolutional neural network (CNN)-based filter improve quality.The CNN was trained simulation reconstruction tens...
Abstract The Bergen proton Computed Tomography (pCT) is a prototype detector under construction. It aims to have the capability track and measure ions’ energy deposition minimize uncertainty in treatment planning. high granularity digital tracking calorimeter, where first two layers will act as obtain positional information of incoming particle. remainder calorimeter. Beam tests been performed with multiple beams. These shown that ALPIDE chip sensor can deposited energy, making it possible...
Objective.Proton therapy is highly sensitive to range uncertainties due the nature of dose deposition charged particles. To ensure treatment quality, verification methods can be used verify that individual spots in a pencil beam scanning fraction match plan. This study introduces novel metric for proton quality control based on spots.Approach.We employ uncertainty-aware deep neural networks predict Bragg peak depth an anthropomorphic phantom secondary particle detection silicon pixel...
Radiation therapy using protons and heavier ions is a fast-growing therapeutic option for cancer patients. A clinical system particle imaging in would enable online patient position verification, estimation of the dose deposition through range monitoring reduction uncertainties calculation relative stopping power patient. Several prototype modalities offer radiography computed tomography heavy ions. Digital Tracking Calorimeter (DTC), currently under development, has been proposed as one...
Abstract The proton calorimeter is a key component of computed tomography (pCT). It aims to measure the residual energy and momentum protons after passing through patient’s body. In this study, we designed prototype pCT by including six layers ALICE pixel detector (ALPIDE) absorber. absorber materials are carbon fiber (C), copper (Cu), aluminum (Al) with 1 mm 2 thicknesses. was tested source at King Chulalongkorn Memorial Hospital (KCMH), Bangkok. number activated pixels cluster sizes in...
Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, quantify uncertainties in, computer simulations. However, the effectiveness of AD depends on how "well-linearizable" software is. In this study, we assess promising derivative information typical proton computed tomography (pCT) scan simulation is for aforementioned applications. Approach. This study mainly based numerical experiments, in which repeatedly...