William Bernasko Afful

The researcher has focused on developing advanced computational methodologies for analyzing diffusion tensor imaging (DTI) data to study brain connectivity. Their work emphasizes optimizing image segmentation techniques using gradient descent and adaptive schemes to improve the accuracy and robustness of conduction velocity mapping. The research also explores the integration of these methods into a multi-subject framework, aiming to model brain connectivity in stroke patients, where accurate mappings are critical for early diagnosis and therapeutic planning. While their approach shows promise in enhancing clinical outcomes by improving understanding of neural communication during stroke, they acknowledge challenges related to computational efficiency and bias reduction that require further optimization and validation. Their work contributes significantly to both medical science and clinical practice, offering insights into how the brain is reconnected following stroke.