Grant funded part-time Research Assistant of effort performing manual segmentation of tubers in tuberous sclerosis patients on MRI and implementation of an automated segmentation processing technique. This involves using algorithms or manual techniques to delineate the tuber from their surrounding environment (brain tissue in medical imaging). The work will be supervised by co-investigator radiologist Dr. Kralik.
Patients with a diagnosis of tuberous sclerosis have lesions in the brain known as tubers. These tubers are regions of disorganized brain tissue and are the cause of epilepsy in these patients. Tuber segmentation refers to identifying and delineating/segmenting these lesions on imaging studies (specifically MRI in this research). Segmentation of tubers allows for determination of the severity of the disease and allows for localization with respect to ares of the brain that perform specific functions. Segmentation can be performed manually by tracing the margins of the tubers as well as automated using advanced image processing algorithms. Manual segmentation and implementation of an automated processing technique is the primary focus of the research assistant.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
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