In this series we present a quiz about identification of salient and important anatomical landmarks present at a given level on the computed tomography (CT) image. The representative image is followed by further images showing examples of various commonly encountered pathologies that can be seen at this level in clinical practice. Readers are expected to identify highlighted structures in all t...

An application of machine vision, incorporating neural networks, which aims to fully automate real-time radiographic inspection in welding processes is described. The current methodology adopted comprises two distinct stages the segmentation of the weld from the background content of the radiographic image, and the segmentation of suspect defect areas inside the weld region itself. In the first...

The etiopathogenesis and radiographic features of navicular syndrome remain controversial. However, as our knowledge of pathophysiology increases, better decisions regarding radiographic interpretation are made. Employment of magnetic resonance imaging and computed tomography will lead to earlier, more accurate diagnosis of navicular syndrome. Authors’ address: School of Veterinary Medicine, 12...

Purpose With the development of digital X-ray imaging and processing methods, the categorization and analysis of massive digital radiographic images need to be automatically finished. What is crucial in this processing is the automatic retrieval and recognition of radiographic position. To address these concerns, we developed an automatic method to identify a patient's position and body region ...

The purpose of this work is to provide Geography elementary and secondary school teachers with support material that stimulates and can be a starting point to the use of Remote Sensing (RS) products in classroom quotidian. It starts from the point that without a suitable support, the results of trying to introduce modern technologies in teaching are inexpressive, because it lacks familiarity an...

Often the first step in a remote sensing change detection study investigating coastal dynamics is to delineate the actual coastline from theavailable images. This can often be a difficult task, partly because of the uncertainty over what is and is not the coastline. Whilst it may appear to be common sense to use the water line (where sea meets land) as the best indicator it may not be that easy...

In this study, statistical and fractal texture analysis was used to assess the ability of 30MHz Intravascular Ultrasound (IVUS) data, in raw and scan-converted form, to characterise atherosclerotic plaque. Data from 3 different plaque groups was assessed in the study, these were, loose fibrotic tissue (LFT), dense fibrotic tissue (DFT) and calcium (CA). The composition of each group was verifie...