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Articles 1 - 4 of 4
Full-Text Articles in Nervous System Diseases
Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian
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 …
Multiple Sclerosis And Its Symptom Management Through Supplementation And Dietary Planning, Lindsey J. Davis
Multiple Sclerosis And Its Symptom Management Through Supplementation And Dietary Planning, Lindsey J. Davis
Selected Honors Theses
Multiple Sclerosis (MS) is an autoimmune, neuroinflammatory disorder that is characterized by the breakdown of myelinated axons in the Central and Peripheral Nervous Systems. It is a potentially debilitating autoimmune disease that affects almost 1 million people in the United States, and nearly 2.5 million people worldwide. The precise etiology of MS is still being researched, but much progress has been made towards understanding the molecular mechanisms and impactful ways to treat this disease. While there is still no cure, new treatment plans are constantly being orchestrated in effort to alleviate the burden that MS carries. Combination treatment plans have …
Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Dissertations, Theses, and Capstone Projects
Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support …
Investigating Diffusion Tensor Imaging Correlates Of Cognitive Impairment In Idiopathic Normal Pressure Hydrocephalus And Alzheimer's Disease, Omar Hasan, Omar Hasan
Investigating Diffusion Tensor Imaging Correlates Of Cognitive Impairment In Idiopathic Normal Pressure Hydrocephalus And Alzheimer's Disease, Omar Hasan, Omar Hasan
Dissertations & Theses (Open Access)
Modest expansion of the human brain cerebrospinal fluid (CSF)-filled ventricles is normal with aging, and because of this, it can be difficult for physicians to accurately diagnose and treat enlarged ventricles (ventriculomegaly), called hydrocephalus1 (fluid or water in the brain) Ventriculomegaly occurs due to an obstruction (such as a blood clot or tumor), or a change in CSF absorption2. Primary hydrocephalus, also called idiopathic normal pressure hydrocephalus (iNPH), is non-obstructive and may be comorbid with other neurodegenerative diseases such as Alzheimer’s disease (AD) or frontotemporal dementia (FTD). Clinically, it can be difficult to tell whether the pathophysiological …