Diagnosis Commons^™

Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian

Theses and Dissertations (ETD)

Purpose and Rationale. Central nervous system manifestations form a significant burden of disease in young children. There have been efforts to correlate the neurological disease state in tuberous sclerosis complex (TSC) neurological disease state with imaging findings is a standard part of patient care. However, such analysis of neuroimaging is time- and labor-intensive. Automated approaches to these tasks are needed to improve speed, accuracy, and availability. Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis …

Diffusion Tensor Imaging In Pediatric Brain Tumor Patients, Nicholas S. Phillips

Theses and Dissertations (ETD)

In this dissertation, we outline our efforts to introduce an advanced MRI imaging technique called Diffusion Tensor Imaging (DTI) to the pediatric brain tumor population. We discuss the theory and application of DTI as it was performed in a series of translational investigations at St. Jude Children’s Research Hospital. We present evidence of how the introduction of this technique impacted diagnosis, and treatment. And finally, we demonstrate how DTI was used to investigate cognitive morbidities associated with cancer treatment and how this research provided insight into the underlying pathophysiology involved in the development of these treatment sequela.

This research has …