IMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE

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dc.contributor.advisorKinser, Jason
dc.contributor.authorAcharya, Mekhala
dc.creatorAcharya, Mekhala
dc.date.accessioned2013-03-21T15:05:17Z
dc.date.available2013-03-21T15:05:17Z
dc.date.issued2012
dc.description.abstractThere 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.extent141 pages
dc.identifier.urihttps://hdl.handle.net/1920/8068
dc.language.isoen
dc.rightsCopyright 2012 Mekhala Acharya
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectFast analog associative memory
dc.subjectHigh resolution computed tomography
dc.subjectIdiopathic pulmonary Fibrosis
dc.subjectIntersecting cortical model
dc.subjectPulse coupled neural network
dc.titleIMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE
dc.typeDissertation
thesis.degree.disciplineBioinformatics and Computational Biology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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