Synthesis of prostate magnetic resonance images using generative adversarial networks
This master's thesis delves into the realm of medical image synthesis with a particular focus on the application of StyleGAN for generating comprehensive volumetric images of the prostate. The primary objective is to leverage the PI-CAI dataset to create realistic and informative representation...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/402137 |
| Acceso en línea: | https://hdl.handle.net/2117/402137 |
| Access Level: | acceso abierto |
| Palabra clave: | Image processing Imaging systems in medicine Magnetic resonance Machine Learning Deep Learning GAN StyleGAN Medical Imaging PI-CAI dataset Imatge -- Generació Imatges -- Processament Ressonància magnètica Imatges mèdiques -- Tractament Imatgeria mèdica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| Sumario: | This master's thesis delves into the realm of medical image synthesis with a particular focus on the application of StyleGAN for generating comprehensive volumetric images of the prostate. The primary objective is to leverage the PI-CAI dataset to create realistic and informative representations of prostate anatomy. The research adopts a dual approach: firstly, investigating the utilization of 2D StyleGANs to create reliable prostate MRI 2D slices; secondly, exploring the direct use of 3D models for generating complete volumetric prostate MRI images. The study aims to contribute to the advancement of medical imaging techniques, providing insights into the efficacy of different GAN-based approaches for synthesizing realistic prostate images. The outcomes of this research are expected to be valuable in enhancing medical imaging applications, particularly in the domain of prostate examinations and diagnostics. |
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