Anti-VEGF treatment of patients with diabetic macular edema : Studies of visual acuity, macular edema and patient-reported outcomes

The aim of this thesis was to describe and evaluate visual acuity, macular edema and patientreported outcomes (PRO) following anti-VEGF treatment of diabetic macular edema (DME) patients in a real-world setting. Using a longitudinal study design, a cohort of DME patients was followed from baseline to 1 year after treatment start. Data were collected from two eye clinics at two county hospitals. Social background characteristics, medical data and PRO were measured before treatment initiation, at four month and after 1 year. A total of 57 patients completed the study. Mean age was 69 years and the sample was equally distributed regarding sex. At baseline, the patients described their general health as low. One year after treatment initiation, 30 patients had improved visual acuity and 27 patients had no improvement in visual acuity. The patients whose visual acuity improved reported an improvement in several subscales in patient-reported outcome measures (PROM), which was in contrast to the group that experienced a decline in visual acuity, where there was no improvement in PROM. Outcomes from the study can be useful for developing and providing relevant information and support to patients undergoing this treatment.

A Contour-based Separation of VerticallyAttached Traffic Signs

This report presents an algorithm for locating the cut points for and separatingvertically attached traffic signs in Sweden. This algorithm provides severaladvanced digital image processing features: binary image which representsvisual object and its complex rectangle background with number one and zerorespectively, improved cross correlation which shows the similarity of 2Dobjects and filters traffic sign candidates, simplified shape decompositionwhich smoothes contour of visual object iteratively in order to reduce whitenoises, flipping point detection which locates black noises candidates, chasmfilling algorithm which eliminates black noises, determines the final cut pointsand separates originally attached traffic signs into individual ones. At each step,the mediate results as well as the efficiency in practice would be presented toshow the advantages and disadvantages of the developed algorithm. Thisreport concentrates on contour-based recognition of Swedish traffic signs. Thegeneral shapes cover upward triangle, downward triangle, circle, rectangle andoctagon. At last, a demonstration program would be presented to show howthe algorithm works in real-time environment.