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Syntactic analysis and languages of shape feature description in computer-aided diagnosis and recognition of cancerous and inflammatory lesions of organs in selected X-ray images...Proceedings of the 16th Symposium for Computer Applications in Radiology. 'PACS: Performance Improvement in Radiology.' Houston, TX, May 6-9, 1999

We present new algorithms for the recognition of morphologic changes and shape feature analysis, which have been proposed to be used in a diagnosis of pathologic symptoms characteristic of cancerous and inflammatory lesions. These methods have been used so far for early detection and diagnosis of ne...

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Published in:Journal of Digital Imaging Vol. 12; pp. 24 - 28
Main Authors: Ogiela MR, Tadeusiewicz R
Format: diagnostic images Journal Article
Published: Springer Nature May1999 Supplement
Online Access:View this record in EBSCOhost
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      dt: May1999 Supplement
      vid: 12
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      pub: Springer Nature
      place: New York, New York
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        atl: Syntactic analysis and languages of shape feature description in computer-aided diagnosis and recognition of cancerous and inflammatory lesions of organs in selected X-ray images...Proceedings of the 16th Symposium for Computer Applications in Radiology. 'PACS: Performance Improvement in Radiology.' Houston, TX, May 6-9, 1999
      aug:
        au:
          Ogiela MR
          Tadeusiewicz R
        affil: AGH Technical University, Institute of Automatics, 30 Mickiewicza St., Cracow, PL-30-059, Poland
      sug:
        subj:
          Diagnosis, Computer Assisted
          Pancreatic Neoplasms Radiography
          Pancreatitis Radiography
          Algorithms
          Image Processing, Computer Assisted Methods
          Programming Languages
          Funding Source
      ab: We present new algorithms for the recognition of morphologic changes and shape feature analysis, which have been proposed to be used in a diagnosis of pathologic symptoms characteristic of cancerous and inflammatory lesions. These methods have been used so far for early detection and diagnosis of neoplastic changes in pancreas and chronic pancreatitis based on x-ray images acquired by endoscopic retrograde cholangiopancreatography (ERCP). Preliminary processing of x-ray images involves binarization, and, subsequently, pancreatic ducts shown in the pictures are subjected to the straightening transformation, which enables obtaining two-dimensional width graphs that show contours of objects with their morphologic changes. Recognition of such changes was performed using attributed context-free grammars. Correct description and diagnosis of some symptoms (e.g., large cavitary projections) required two-dimensional analysis of width graphs. In such cases, languages of shape feature description with special multidirectional sinquad distribution were additionally applied. Copyright (c) 1999 by W.B. Saunders Company
      pubtype: Academic Journal
      doctype:
        diagnostic images
        Journal Article
      ougenre: Article
    language: English
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