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dc.contributor.authorLoughran, Brendan
dc.date.accessioned2016-04-05T19:31:54Z
dc.date.available2016-04-05T19:31:54Z
dc.date.issued2014
dc.identifier.isbn9781321070989
dc.identifier.other1562521915
dc.identifier.urihttp://hdl.handle.net/10477/50778
dc.description.abstractNeuro-Endovascular Image-Guided Interventions (neuro-EIGIs) have become widely used as the preferred method for treating vascular malformations such as cerebral aneurysms, stenosis, and arteriovenous malformations (AVMs). However, generally speaking, the imaging systems being used to guide such interventions still rely on the traditional flat panel detectors and image intensifiers. These detectors lack the capability to image the small features of endovascular devices used commonly in neuro-EIGIs. Currently, most state-of-the-art FPD systems rely on pixel sizes of 150 μm x 150 μm to 200 μm x 200 μm. Therefore, these systems are unable to reliably image object structures of less than 150 μm. Many endovascular devices have structures less than 100 μm. Our research group at the Toshiba Stroke and Vascular Research Center (TSVRC) has proposed that high-resolution image guidance would improve neuro-EIGI treatment outcomes. This work attempts to give a detailed report of various methods which can be used to assess and compare the performance of detectors for use in neuro-EIGIs. The first chapter gives a brief introduction of the importance of treating stroke, how to treat stroke, the role of x-ray imaging in stroke treatment, and the basics of quantifying x-ray detector performance. The next chapter gives another imaging application for a detector built for neuro-EIGIs and also serves as a comparative example of the power images high-resolute detectors can provide for diagnosis and treatment. The third chapter explains the development of a tissue surrogate which is currently used for neuro-EIGI detector assessment. The fourth chapter assesses the possibility of developing a new MAF-CMOS for use in the guidance of neuro-EIGIs. The fifth chapter assesses and compares multiple commercially available CMOS x-ray detectors for potential use in neuro-EIGIs. The sixth chapter introduces and defines a new metric to compare different neuro-EIGI detectors. The seventh chapter presents a number of successful human test cases where the MAF-CCD was used as a neuro-EIGI detector in an attempt to assess the benefit of using the MAF-CCD in neuro-EIGIs. Lastly, chapter eight discusses potential future projects that will aid in the assessment and comparison of neuro-EIGI imaging systems and detectors. (Abstract shortened by UMI.)
dc.languageEnglish
dc.sourceDissertations & Theses @ SUNY Buffalo,ProQuest Dissertations & Theses Global
dc.subjectBiological sciences
dc.subjectHealth and environmental sciences
dc.subjectCmos
dc.subjectMaf
dc.subjectMicroangiographic fluoroscope
dc.subjectNeuro-eigi
dc.subjectNeurovascular interventions
dc.subjectX-ray detectors
dc.titleExperimental assessment and comparison of x-ray detectors for use in neuro-endovascular imageguided interventions
dc.typeDissertation/Thesis


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