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Proceedings Paper

Languages of shape feature description and syntactic methods for recognition of morphological changes in organs in analysis of selected x-ray images
Author(s): Marek R. Ogiela
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Paper Abstract

The presented paper treats a subject of elaboration of new algorithms for recognition of lesions and analysis of shape features of selected abdominal cavity organs visible on radiograms or tomograms. The aim of the methods is to determine and examine morphological shapes of the analyzed anatomical structures in order to diagnose cancerous lesions and inflammatory processes. The formulated target was accomplished in the case of the diagnosis of cancer and chronic inflammation of the pancreas made on the base of X- ray images obtained during the ERCP examinations. For this purpose an effective algorithm for thresholding of the ERCP images was employed. Hence it was possible to extract the pancreas duct together with morphological changes which could occur. Then, thanks to determination and application of special sequence of geometric operations (skeletonizing and rotations of contour points about a skeleton), a linear graph representing the width of pancreas duct and showing morphological changes was obtained. In order to find these changes the context-free attributed grammars, enabling description of all searched morphological changes were used. These attributes contained an additional information (height and width of the discovered change) used for recognition of ambiguous cases. For proper description and recognition of symptoms, for which the 2D analysis is required (i.e. e.g. large cavernous bulges), the language of shape features description with a special multidirectional sinquad distribution were employed. Research on usefulness of the proposed methods, performed so far, justified the application of syntactic methods to recognition of medical images, especially to support medical diagnostics.

Paper Details

Date Published: 24 June 1998
PDF: 11 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310858
Show Author Affiliations
Marek R. Ogiela, AGH Technical Univ. (Poland)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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