Imaging retinal nerve fiber bundles using optical coherence tomography with adaptive optics

AbstractEarly detection of axonal tissue loss in retinal nerve fiber layer (RNFL) is critical for effective treatment and management of diseases such as glaucoma. This study aims to evaluate the capability of ultrahigh-resolution optical coherence tomography with adaptive optics (UHR-AO-OCT) for imaging the RNFL axonal bundles (RNFBs) with 3×3×3μm3 resolution in the eye. We used a research-grade UHR-AO-OCT system to acquire 3°×3° volumes in four normal subjects and one subject with an arcuate retinal nerve fiber layer defect (n=5; 29–62years). Cross section (B-scans) and en face (C-scan) slices extracted from the volumes were used to assess visibility and size distribution of individual RNFBs. In one subject, we reimaged the same RNFBs twice over a 7month interval and compared bundle width and thickness between the two imaging sessions. Lastly we compared images of an arcuate RNFL defect acquired with UHR-AO-OCT and commercial OCT (Heidelberg Spectralis). Individual RNFBs were distinguishable in all subjects at 3° retinal eccentricity in both cross-sectional and en face views (width: 30–50μm, thickness: 10–15μm). At 6° retinal eccentricity, RNFBs were distinguishable in three of the five subjects in both views (width: 30–45μm, thickness: 20–40μm). Width and thickness RNFB measurements taken 7months apart were strongly correlated (p<0.0005). Mean difference and standard deviation of the differences between the two measurement sessions were −0.1±4.0μm (width) and 0.3±1.5μm (thickness). UHR-AO-OCT outperformed commercial OCT in terms of clarity of the microscopic retina. To our knowledge, these are the first measurements of RNFB cross section reported in the living human eye

Advances in Data Mining Knowledge Discovery and Applications

Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications

2019-12-11 Undergraduate Curriculum Committee Meeting Minutes

Undergraduate Curriculum Committee meeting minutes for December 11, 2019

The development of novel photonics based techniques for biomedicine

The advances in technology capable of measuring various optical properties within organic materials and tissues have paved way for potentially revolutionary methods of detecting and diagnosing diseases as well as generally monitoring health. Thus, this thesis provides a background on a number of key optical properties crucial in organic tissues and describes how such properties can currently be detected and observed.The thesis looks at a diverse selection of conditions and health-monitoring challenges to determine the effectiveness of non- and minimally invasive diagnostics. Urinary bladder cancer and a computational Monte Carlo model are described in an effort to predict the effectiveness of such diagnostics tools as well as aid in the overall detection of cancer within the organ. Beginning from porcine bladder, the model is advanced to function with human biopsy samples.Furthermore, the thesis covers cardiovascular disease (CVD), specifically pre-eclampsia.Tools used for human analysis are tested on animal CVD models and ultimately employed to display their effectiveness at monitoring diseased mice from an established murine model. The thesis also presents potential parameters vital for diagnostics purposes.Using the established parameters of interest from the above work, the thesis describes measurement of physiological (photonics based diagnostics) and psychological (reaction time assessment) effects resulting from short-term light exposure. Due to the frequency at which non natural light interacts with people on a day-to-day basis, the thesis provides a basis to further expand health-monitoring research.Finally, potential methods for assessing ocular health in the form of contact lens induced discomfort is assessed through objective analysis by photonics based techniques. The thesis also establishes a validation for the proposed approach.Ultimately, the work presented in the thesis describes how novel photonics based technologies can be effectively employed in a wide variety of biomedical diagnostics and monitoring applications, whether used alone or in conjunction with other forms of diagnostics

Undergraduate and Graduate Course Descriptions, 2007 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2007