Restoration of optical coherence tomography images using stochastic methods
| dc.contributor.author | Mezgebo, Biniyam Kahsay | |
| dc.contributor.examiningcommittee | Kordi, Behzad (Electrical and Computer Engineering ) Figley, Chase (Radiology) | en_US |
| dc.contributor.supervisor | Sherif, Sherif (Electrical and Computer Engineering ) | en_US |
| dc.date.accessioned | 2016-01-12T20:00:12Z | |
| dc.date.available | 2016-01-12T20:00:12Z | |
| dc.date.issued | 2015 | |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Optical coherence tomography (OCT) is a rapidly growing imaging modality that produces high resolution three dimensional images that can be applied to different medical and industrial applications . Obtaining higher depth of imaging and higher imaging quality are important goals in OCT systems. One of the main factors that affects the penetration depth and imaging quality of OCT systems is the presence of noise. The depth-scan photocurrent of time domain (TD) OCT system is degraded by a class of correlated and signal dependent noise. The joint probability density function of the depth-scan photocurrent can be considered as Gaussian random process that is completely characterized by its second order statistics. Both the mean and the covariance functions of the depth-scan photocurrent are functions of the depth variant axial reflectance of the object. We present a stable and computationally efficient OCT image restoration technique to obtain the maximum likelihood estimates of the axial reflectance of the object and to estimate the electrical noise variance. | en_US |
| dc.description.note | February 2016 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/31041 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | msc thesis | en_US |
| dc.title | Restoration of optical coherence tomography images using stochastic methods | en_US |
| dc.type | master thesis | en_US |
| local.subject.manitoba | yes | en_US |