IMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE
dc.contributor.advisor | Kinser, Jason | |
dc.contributor.author | Acharya, Mekhala | |
dc.creator | Acharya, Mekhala | |
dc.date.accessioned | 2013-03-21T15:05:17Z | |
dc.date.available | 2013-03-21T15:05:17Z | |
dc.date.issued | 2012 | |
dc.description.abstract | There are diagnostic challenges in the evaluation of a patient with a known or suspected diagnosis of interstitial lung disease [ILD] because of the extensive possibilities of diverse potential diagnoses with similar symptoms. High-Resolution Computed Tomography (HRCT) has changed the diagnostic evaluation of patients with ILD and is particularly useful in the diagnosis of idiopathic pulmonary brosis (IPF). According to NIH, IPF is a disease in which over a period of time the lung tissue becomes thickened, stiff and scarred. The characteristic HRCT findings of IPF are reticular abnormality and honeycombing with basal and peripheral predominance and the radiographic pattern diers with the stage of the disease. | |
dc.format.extent | 141 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/8068 | |
dc.language.iso | en | |
dc.rights | Copyright 2012 Mekhala Acharya | |
dc.subject | Bioinformatics | |
dc.subject | Biostatistics | |
dc.subject | Fast analog associative memory | |
dc.subject | High resolution computed tomography | |
dc.subject | Idiopathic pulmonary Fibrosis | |
dc.subject | Intersecting cortical model | |
dc.subject | Pulse coupled neural network | |
dc.title | IMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE | |
dc.type | Dissertation | |
thesis.degree.discipline | Bioinformatics and Computational Biology | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Doctoral |
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