A Master's thesis.
Master (thesis) (master)
Automated Lesion Detection-Based Symptome Mapping In Patients With Sensory Deficits
Université de Lausanne, Faculté de biologie et médecine
Number of pages
The human brain is the most complex structure known. With its high number of cells, number of connections and number of pathways it is the source of every thought in the world. It consumes 25% of our oxygen and suffers very fast from a disruption of its supply. An acute event, like a stroke, results in rapid dysfunction referable to the affected area. A few minutes without oxygen and neuronal cells die and subsequently degenerate. Changes in the brains incoming blood flow alternate the anatomy and physiology of the brain. All stroke events leave behind a brain tissue lesion. To rapidly react and improve the prediction of outcome in stroke patients, accurate lesion detection and reliable lesion-based function correlation would be very helpful. With a number of neuroimaging and clinical data of cerebral injured patients this study aims to investigate correlations of structural lesion locations with sensory functions.
automated lesion detection, function based lesion mapping, voxel-based lesion symptome mapping, posterior-insula-medial-operculum (PIMO), stroke recovery potential
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