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Segmentation is one of the most important steps in automated medical diagnosis applications, which remains to be a difficult task. In this paper, we propose a semi-automated segmentation method for extracting lung lesions from thoracic Computed Tomography (CT) images by combining low level processing and active contour techniques. To evaluate its accuracy, the Jaccard Index (JI) was used as a measure...
Many storage tanks used in industry are inspected manually in order to identify leakage and corrosion. This repetitive task can harm the operator as the operator has to expose themselves to danger inside the tank. The environment of the tank can be harmful because it might contain highly hazardous substances. Additionally, the manual inspection process also requires highly skilled operators for precision...
Automated segmentation is a primary step in medical diagnosis applications. This paper presents an image segmentation propagation method via image registration. Therefore, segmentation propagation accuracy depends on the accuracy of image registration. Three similarity measures were considered, namely Sum of Squared (Intensity) Differences (SSD), Mutual Information (MI) and Cross Correlation (CC)...
In this paper we present a pre-processing stage for an automated volumetric CT stroke image diagnosis system. It concerns the automatic intensity-based 3D image registration of non-contrast CT (NCCT) to CT angiography (CTA) images. The NCCT were acquired with a gantry tilt and hence they are first tilt corrected. After the tilt correction process, the NCCT images are then registered to the CTA image...
Respiratory motion presents a challenge in developing techniques to increase the accuracy of image acquisition or guided interventions in abdominal and thoracic organs. The use of distance cameras, such as that from Vision RT Ltd has been considered as a surrogate for respiratory motion tracking in external beam radiotherapy that does not require the use of markers. However, it is very costly and...
This paper describes the development of a system that uses off the shelf ranging technology (distance cameras) to acquire a real-time multidimensional respiratory signal from a 3D surface reconstruction of the patient's chest and abdomen without the use of markers. The preliminary measurements are discussed within the context of the use of such a system with an existing CT scanner.
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