University of Peradeniya

About: University of Peradeniya is a education organization based out in Kandy, Sri Lanka. It is known for research contribution in the topics: Population & Poison control. The organization has 5970 authors who have published 7388 publications receiving 197002 citations.

Focal epithelial hyperplasia (Heck's disease): report of two cases with PCR detection of human papillomavirus DNA

Abstract: Focal epithelial hyperplasia (FEH) (Heck's disease) is essentially a benign oral infection produced by the human papillomavirus (HPV). Although this condition is known to exist in numerous populations and ethnic groups, it is relatively rare in South-East Asia. The following report is based on two cases of adult FEH with histopathological features in favour of the disease. In addition, polymerase chain reaction was performed to detect the presence of HPV DNA in the lesions in order to confirm the histopathological diagnosis.

Detection of circulating antigen in bancroftian filariasis by using a monoclonal-antibody

Abstract: A monoclonal antibody designated Gib 13-5-2 (Gib 13) and directed against the cattle parasite Onchocerca gibsoni was used in a two-site immunoradiometric assay (IRMA) for detection of circulating antigen in the sera of Wuchereria bancrofti-infected individuals from Sri Lanka and Papua New Guinea. The microfilaremic patients were, in general, serum antigen positive by the Gib 13 IRMA. Among the amicrofilaremic patients, 47% of those with lymphedema, lymphangitis, hydrocele, etc., and 25% of those with elephantiasis had circulating antigen. Correlation of the presence of serum antigen with clinical status indicated that the Gib 13 target antigen in serum is probably an indicator of either active or early infection, or of both. The antigen was also detected in the urine of some patients. By sodium dodecyl sulphate polyacrylamide gel electrophoresis immunoblotting, Gib 13 target antigens of molecular weights 67,000 and 52,000 were identified.

Morphometric analysis of the Gal Oya river basin using spatial data derived from GIS

Abstract: Basin morphometry is a means of mathematically quantifying different aspects of a drainage basin. In the present study, morphometric analysis of the Gal Oya river basin was done to elucidate information on the morphometry of the Gal Oya river basin and to assess its hydrological characteristics and flood potentials based on the morphological characteristics. The study was carried out using spatial data obtained from Geographical Information Systems (GIS). The morphometric parameters considered for the analysis include the linear, areal and relief aspects of the basin. Morphometric analysis of the river network and the basin revealed that the Gal Oya basin has 6th order river network (as per the Strahler’s classification) with a dendritic drainage pattern and moderate drainage texture. The obtained values of bifurcation ratio, drainage density, circularity ratio, elongation ratio, form factor, stream frequency and drainage intensity indicate that the basin produces a flatter peak of direct runoff for a longer duration and such flood flows emerging from elongated basins are easier to manage than those from circular basins. Tropical Agricultural Research Vol. 26 (1): 175– 188 (2014)

Comparison of standard image segmentation methods for segmentation of brain tumors from 2D MR images

Abstract: In the analysis of medical images for computer-aided diagnosis and therapy, segmentation is often required as a preliminary step. Medical image segmentation is a complex and challenging task due to the complex nature of the images. The brain has a particularly complicated structure and its precise segmentation is very important for detecting tumors, edema, and necrotic tissues in order to prescribe appropriate therapy. Magnetic Resonance Imaging is an important diagnostic imaging technique utilized for early detection of abnormal changes in tissues and organs. It possesses good contrast resolution for different tissues and is, thus, preferred over Computerized Tomography for brain study. Therefore, the majority of research in medical image segmentation concerns MR images. As the core juncture of this research a set of MR images have been segmented using standard image segmentation techniques to isolate a brain tumor from the other regions of the brain. Subsequently the resultant images from the different segmentation techniques were compared with each other and analyzed by professional radiologists to find the segmentation technique which is the most accurate. Experimental results show that the Otsu's thresholding method is the most suitable image segmentation method to segment a brain tumor from a Magnetic Resonance Image.