Detection of Parkinson's disease from MR images

• Κύριος συγγραφέας: Thanellas, Antonios-Constantine
• Άλλοι συγγραφείς: Ilmoniemi, Risto
• Μορφή: Master Thesis
• Γλώσσα: English
• Έκδοση: 2008
• Θέματα: Parkinson’s; FSL; Longitudinal analysis; Cross sectional analysis; MR T1 images; Πάρκινσον; Μαγνητική τομογραφία; Επεξεργασία ιατρικής εικόνας; 616.833

The scope of this thesis is to process and analyze statistically Magnetic Resonance Images (MR-T1) from Parkinson’s disease patients in order to detect brain areas that exhibit brain change which is caused by the disease. Parkinson’s disease is an idiopathic disease which means that its cause is yet unknown. It is a chronic neurodegenerative disorder of the central nervous system which causes the progressive death of specific brain neurons that leads to motor impairments (tremor, bradykinesia, muscle rigidity) and non motor ones (cognitive, sleep, sensation disturbances). Magnetic Resonance Images (T1-weighted) were acquired from both Parkinson’s patients and healthy subjects (Controls) at intervals of 0 and 5 years. The data have undergone longitudinal (two-time-point), cross sectional (single-time-point) and statistical analysis with the use of FSL software library. Evidence of atrophy among Parkinson’s patients aroused, in brain areas near the ventricles and the middle temporal gyrus, after statistical analysis