Utilization of evidence theory in the detection of salient regions in succesive CT images

[journal]

Full reference

Th. Athanasiadis, M. Wallace, K. Karpouzis, S. Kollias, Utilization of evidence theory in the detection of salient regions in succesive CT images, Oncology Reports, Vol. 15, pp. 1071-1076, May 2006

Abstract

This study presents an integrated approach to locating and presenting the medical practitioner with salient regions in a CT scan when focusing on the area of the liver. A number of image processing tasks are performed in successive scans to extract areas with a different texture than that of the greater part of the organ. In general, these areas do not always correspond to pathological patterns, but may be the result of noise in the scanned image or related to veins passing through the tissue. The result of the algorithm is the original image with a mask indicating these regions, so the attention of the medical practitioner is drawn to them for further examination. The algorithm also calculates a measure of confidence of the system, with respect to the extraction of the salient region, based on the fact that a region with a similar pattern is also located in successive scans. This essentially represents the hypothesis that the volume of both pathological patterns and blood vessels, but not noise patterns, is large enough to be captured in successive scans.

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4 known citations

1. D.Tz. Dimitrov, V. M. Georgieva, Application of Apparatus for Magneto Therapy in Stomatology and Computer Treatment of X-ray Images before and after Therapy, Electronics and Electrical Engineering 3(91), pp 39-42, 2009
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4. V. Georgieva, R. Kountchev and I. Draganov, An Adaptive Approach for Noise Reduction in Sequences of CT Images in B. Iantovics and R. Kountchev (Eds), Advanced Intelligent Computational Technologies and Decision Support Systems, Studies in Computational Intelligence Vol 486, pp 43-52, Springer International Publishing, 2014