Institute of Clinical Sciences / Institutionen för kliniska vetenskaper
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Evaluating aperture shape controller (ASC) in modulated radiation treatments
(2023-09-28)To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, ... -
Anatomical segmentation of the human brain: comparative assessment of two automatic methods
(2023-08-22)Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the ... -
Apoptosis induction in breast cancer cells after radiotherapy and potential radiosensitizers
(2023-06-27)Background. Today breast cancer is the foremost cancer death type amongst women around the world. At present some of the toughest challenges in the clinic is recurrent, radioresistant breast cancer, and metastatic breast ... -
Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
(2023-04-17)Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood ... -
Brain morphometry in Parkinson’s disease
(2023-03-02)Abstract Purpose The purpose of this brain morphometry study was to examine the volumes of different regions of the brain by research participants with Parkinson’s disease. Method To carry out the study, MR (magnetic ... -
Monte Carlo evaluation of static and dynamic 6FFF treatments - Evaluation of dose distributions calculated with AAA, Acuros XB, and Collapsed Cone (RayStation and DoseCheck)
(2023-02-23)There are several benefits to removing the standard flattening filter and using so-called flattening filter free (FFF) treatments in external radiation therapy with photons. The main advantage is the possibility of ... -
Uptake and retainment of radionuclides in edible mushrooms – from fruiting to cooking
(2022-12-06)Purpose: The purpose of this study was to study the uptake, distribution and transfer of Mn-54, Zn-65, U-238, U-235, U-234, and Po-210 in mushrooms and their respective caps and stalks, the effects of chelates and ligands, ... -
CHARACTERIZATION AND EVALUATION OF A NIPAM POLYMER GEL MRI DOSIMETER SYSTEM
(2022-11-08)Purpose: The normoxic polymer gel dosimeter based on N-isopropyl acrylamide (NiPAM) is a promising full 3D-dosimeter with high spatial resolution and near tissue equivalency. However, limited work have been done in vestigating ... -
Models for estimating radiation dose and LAR from radioactive fallout: extended dose algorithms for the computational tool LARCalc
(2022-09-09)Today, emergency preparedness is needed against both nuclear reactor accidents and nuclear weapons fallout. Both scenarios can lead to exposure of ionizing radiation. Upon exposure, radionuclides will incur a radiation ... -
Accumulation of 63Ni, 106Ru and 125Sb in phytoplankton
(2022-08-22)Background: Nuclear Power Plants (NPPs) release small amounts of radionuclides which contribute with a low radiation dose to the environment as well as humans and animals. In this context, marine ecosystems are critical, ... -
Evaluation of the DXA radiation environment at Sahlgrenska University Hospital
(2022-05-18)Purpose: The aims of this work were to evaluate the radiation environment in the dual-energy X-ray absorptiometry (DXA) rooms at Sahlgrenska University Hospital, estimate personnel doses, determine legal requirements for ... -
Evaluation of deep learning image reconstruction for brain- and abdominal CT - A visual grading characteristics study
(2022-05-04)Computed tomography (CT) is a common medical imaging method today. There are different ways of reconstructing the images from a CT examination. The standard method is the filtered back projection (FBP). However, a disadvantage ... -
Optimization of MP2RAGE sequence parameters for head and neck T1-mapping and OE-MRI
(2022-05-04)Cancer is the collective name for more than 200 types of diseases that annually causes the death of 8.8 million people, cancer in the head and neck (H&N) accounts for 330.000 of these. It has been shown that hypoxic tumors ... -
Region-based analysis of magnetic resonance brain images: integrating statistical analysis and visualization
(2022-04-05)Purpose: The purpose of the project was to develop a processing toolchain that takes MR brain images and their anatomical segmentations as input and produces image visualizations, data visualizations, and statistical ... -
Deep Neural Networks for Noise Reduction and Bias Removal in MR Diffusion Signal
(2022-03-22)The purpose of this study is to assess the potential of deep neural networks, trained by unsupervised learning, for diffusion weighted imaging (DWI) data modeling and denoising. DWI data were modeled by a biexponential ... -
Evaluation of the iterative kilovoltage cone-beam computed tomography reconstruction method for the Varian TrueBeam system
(2022-03-18)Introduction: Radiotherapy is used to treat patients with various types of cancer, where linear accelerators produce the radiation beam used for the treatment. Before each treatment fraction, the patient needs to be ... -
Effects of reconstruction parameters on the image quality and quantification of PET images from PET/MRI and PET/CT systems
(2022-03-09)Aim: To study how reconstruction parameters affect the positron emission tomography (PET) image quality and quantitative results for the different lesion to background radioactivity ratios in three different PET ... -
ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
(2022-01-13)Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make ... -
ESTIMATION OF RADIATION EXPOSURE FROM NATURALLY OCCURRING RADIONUCLIDES IN FOOD AND FOODSTUFF
(2022-01-13)Purpose: The main purpose of this study was to provide an estimation of the committed effective dose received by the Swedish population from naturally occurring radionuclides (NORM) in the diet. This study was also ... -
Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals
(2022-01-13)Purpose: The aim of this study was to introduce a volumetric convolutional neural network for segmentation of the kidneys in SPECT images and to apply it in the dosimetry of radiopharmaceuticals of this organ, in order ...
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