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Integrated computational system for portable retinal imaging

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dc.contributor.advisor Ramesh Raskar. en_US Boggess, Jason (Jason Robert) en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US 2012-11-19T19:32:34Z 2012-11-19T19:32:34Z 2012 en_US 2012 en_US
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 119-121). en_US
dc.description.abstract This thesis introduces a system to improve image quality obtained from a low-light CMOS camera-specifically designed to image the surface of the retina. The retinal tissue, as well as having various diseases of its own, is unique being the only internal tissue in the human body that can be imaged non-invasively. This allows for diagnosis of diseases that are not limited to eye conditions, such as diabetes and hypertension. Current portable solutions for retinal imaging such as the Panoptic and indirect ophthalmoscopes require expensive, complex optics, and must be operated by a trained professional due to the challenging task of aligning the pupillary axis with the optical axis of the device. Our team has developed a simple hardware/software solution for inexpensive and portable retinal imaging that consists of an LED light source, CMOS camera, and simple LCD display built into a pair of sunglasses. This thesis presents a multistage solution that registers the retinal tissue on the sensor; identifies its shape and size; performs local integration with phase correlation; and performs global integration with panoramic mosaicing. Through this process we can increase signal to noise ratio, increase image contrast, create super-resolution images, and obtain a large field of view image of the retina. We also lay the groundwork for possible 3D reconstruction to increase the amount of information present. The main contributions of this thesis are in computational methods for improving overall image quality, while other team members focused on the illumination source, optics, or other hardware components. en_US
dc.description.statementofresponsibility by Jason Boggess. en_US
dc.format.extent 121 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.relation.requires CD contains copy of thesis in .pdf and various image files in .tiff, .jpg and .png. en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri en_US
dc.subject Electrical Engineering and Computer Science. en_US
dc.title Integrated computational system for portable retinal imaging en_US
dc.type Thesis en_US S.M. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US
dc.identifier.oclc 815785292 en_US

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