Ola Grøttvik
A5105669340- Radiation Therapy and Dosimetry
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
- Particle Detector Development and Performance
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Electron and X-Ray Spectroscopy Techniques
- Dark Matter and Cosmic Phenomena
- Advanced MRI Techniques and Applications
- Gamma-ray bursts and supernovae
University of Bergen
2019-2025
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) aims to facilitate precise dose planning for hadron therapy, a promising and effective method cancer treatment. Hadron therapy utilizes protons heavy ions deliver well-focused doses of radiation, leveraging the Bragg peak phenomenon target tumors while sparing healthy tissues. The Bergen pCT Collaboration develop novel scanner, accompanying reconstruction algorithms overcome current limitations. This paper focuses on advancing track image algorithms, thereby...
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...
Abstract List mode proton imaging relies on accurate reconstruction of the most likely path (MLP) through patient. This typically requires two sets position sensitive detector systems, one upstream (front) and downstream (rear) However, for a clinical implementation it can be preferable to omit front trackers (single-sided imaging). For such system, MLP computed from information available beam delivery system remaining rear tracker set. In this work, we use Monte Carlo simulations compare...
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...
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...
Particle computed tomography (pCT) is an emerging imaging modality that promises to reduce range uncertainty in particle therapy. The Bergen pCT collaboration aims develop a novel prototype based on the ALPIDE monolithic CMOS sensor. planned consist of two tracking planes forming rear tracker and Digital Tracking Calorimeter (DTC). DTC will be made 41 layer ALPIDE-aluminum sandwich structure. To enable data acquisition at clinical rates, large multiplicity particles measured using...
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...