The experience of living with age related macular degeneration:A longitudinal study into the impact of age related macular degeneration on quality of life

In this thesis I contribute to the understanding of the experience of living with Age-Related Macular Degeneration (AMD) and its impact on quality of life through the use of a pragmatically guided mixed methods approach. AMD is a condition resulting in the loss of central vision in old age which can have a huge impact on the lives of patients. This thesis includes: literature reviewing; qualitative meta-synthesis; surveys and descriptive statistics; observation; and analysis of in-depth interviewing, in order to build a picture of what it is like for older people to live with AMD. I present the findings from six separate studies each designed to answer specific research questions. I begin with a mixed methods study to determine how well the most commonly used measure of quality of life for AMD patients’ represents patient experiences. I then go on to investigate the experiences of patients with AMD through a meta-synthesis of qualitative research and finally present four of my own empirical studies three of which investigate the experiences of patients with different types of AMD: early dry AMD, treatable wet AMD and advanced wet AMD and the final study investigates what it is like for a couple living together with AMD. Throughout the qualitative studies I use Interpretative Phenomenological Analysis (IPA) to develop an understanding of the experiences and life contexts of patients with AMD. Through rigorous analysis, I identify a range of themes which highlight the shared and divergent experiences of individuals with AMD and the need to acknowledge patients’ past, present and potential future life contexts and experiences when providing services to older people with AMD. I relate the findings of the six studies to the wider psychological literature on chronic illness and make recommendations for services for patients with AMD to be provided holistically within a lifeworld-led health care model.

No-reference image quality assessment in contourlet domain

The target of no-reference (NR) image quality assessment (IQA) is to establish a computational model to predict the visual quality of an image. The existing prominent method is based on natural scene statistics (NSS). It uses the joint and marginal distributions of wavelet coefficients for IQA. However, this method is only applicable to JPEG2000 compressed images. Since the wavelet transform fails to capture the directional information of images, an improved NSS model is established by contourlets. In this paper, the contourlet transform is utilized to NSS of images, and then the relationship of contourlet coefficients is represented by the joint distribution. The statistics of contourlet coefficients are applicable to indicate variation of image quality. In addition, an image-dependent threshold is adopted to reduce the effect of content to the statistical model. Finally, image quality can be evaluated by combining the extracted features in each subband nonlinearly. Our algorithm is trained and tested on the LIVE database II. Experimental results demonstrate that the proposed algorithm is superior to the conventional NSS model and can be applied to different distortions. © 2009 Elsevier B.V. All rights reserved.

Achieving low cost and high quality aero structure assembly through integrated digital metrology systems

Measurement assisted assembly (MAA) has the potential to facilitate a step change in assembly efficiency for large structures such as airframes through the reduction of rework, manually intensive processes and expensive monolithic assembly tooling. It is shown how MAA can enable rapid part-to-part assembly, increased use of flexible automation, traceable quality assurance and control, reduced structure weight and improved aerodynamic tolerances. These advances will require the development of automated networks of measurement instruments; model based thermal compensation, the automatic integration of 'live' measurement data into variation simulation and algorithms to generate cutting paths for predictive shimming and drilling processes. This paper sets out an architecture for digital systems which will enable this integrated approach to variation management. © 2013 The Authors.