Sökning: "Carlo Brus"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden Carlo Brus.
1. Evaluating image analysis techniques for ultrasound optical tomography in breast tissue
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Breast cancer is the most commonly diagnosed cancer in the world today and early detection is crucial to minimize the mortality. ”Ultrasound optical tomography” (UOT) is a method under development for deep tissue imaging. LÄS MER
2. Implementation and Evaluation of Uncertainty Estimation for Advanced Pharmacokinetic Models in DCE-MRI
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : The goal of this report is to develop code in Python that implements and evaluates a multivariate linear error propagation for commonly used DCE-MRI models. Two pharmoacokinetic models (PK-models) were tested; modified Kety model and two-compartment exchange model. LÄS MER
3. Preparations for photon external beam radiotherapy treatment planning of small animals
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Introduction:The XenX is a small animal irradiation system that acquires high-resolution cone-beam tomography (CBCT) images of small animals and treats small animals with higher precision than medical linear accelerators. MuriSlice is a software for CBCT image reconstruction. LÄS MER
4. High resolution x-ray imaging by measuring the induced charge distribution
Master-uppsats, KTH/FysikSammanfattning : Computed tomography (CT) is a medical imaging technique used to create cross-section images of human bodies based on x-rays. The emerging photon-counting CT detector shows several advantages compared with the traditional energy integrating detector. LÄS MER
5. Noise Reduction of Scintillation Camera Images Using UNET: A Monte Carlo Simulation Approach
Master-uppsats, Lunds universitet/SjukhusfysikerutbildningenSammanfattning : Background The project aims to reduce the noise in planar 111-In projections with a machine learning model. Method Sixteen base phantoms were used to create 696 phantoms in XCAT. An anterior planar projection was simulated with 111-In and ten uptake curves for each phantom in SIMIND. LÄS MER