Languages of shape feature description and syntactic methods for recognition of morphological changes in organs in analysis of selected x-ray images

Marek R. Ogiela

doi:10.1117/12.310858

24 June 1998 Languages of shape feature description and syntactic methods for recognition of morphological changes in organs in analysis of selected x-ray images

Marek R. Ogiela

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310858
Event: Medical Imaging '98, 1998, San Diego, CA, United States

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.

Citation Download Citation

Marek R. Ogiela "Languages of shape feature description and syntactic methods for recognition of morphological changes in organs in analysis of selected x-ray images", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310858

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available