Integrated computational system for portable retinal imaging

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.

Bibliographic Details
Main Author: Boggess, Jason (Jason Robert)
Other Authors: Ramesh Raskar.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/74987
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author Boggess, Jason (Jason Robert)
author2 Ramesh Raskar.
author_facet Ramesh Raskar.
Boggess, Jason (Jason Robert)
author_sort Boggess, Jason (Jason Robert)
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
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spelling mit-1721.1/749872019-04-12T13:57:37Z Integrated computational system for portable retinal imaging Boggess, Jason (Jason Robert) Ramesh Raskar. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 119-121). 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. by Jason Boggess. S.M. 2012-11-19T19:32:34Z 2012-11-19T19:32:34Z 2012 2012 Thesis http://hdl.handle.net/1721.1/74987 815785292 eng CD contains copy of thesis in .pdf and various image files in .tiff, .jpg and .png. 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. http://dspace.mit.edu/handle/1721.1/7582 121 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Boggess, Jason (Jason Robert)
Integrated computational system for portable retinal imaging
title Integrated computational system for portable retinal imaging
title_full Integrated computational system for portable retinal imaging
title_fullStr Integrated computational system for portable retinal imaging
title_full_unstemmed Integrated computational system for portable retinal imaging
title_short Integrated computational system for portable retinal imaging
title_sort integrated computational system for portable retinal imaging
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/74987
work_keys_str_mv AT boggessjasonjasonrobert integratedcomputationalsystemforportableretinalimaging