Picture languages in automatic radiological palm interpretation

Ryszard Tadeusiewicz; Marek Ogiela

International Journal of Applied Mathematics and Computer Science (2005)

  • Volume: 15, Issue: 2, page 305-312
  • ISSN: 1641-876X

Abstract

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The paper presents a new technique for cognitive analysis and recognition of pathological wrist bone lesions. This method uses AI techniques and mathematical linguistics allowing us to automatically evaluate the structure of the said bones, based on palm radiological images. Possibilities of computer interpretation of selected images, based on the methodology of automatic medical image understanding, as introduced by the authors, were created owing to the introduction of an original relational description of individual palm bones. This description was built with the use of graph linguistic formalisms already applied in artificial intelligence. The research described in this paper demonstrates that for the needs of palm bone diagnostics, specialist linguistic tools such as expansive graph grammars and EDT-label graphs are particularly well suited. Defining a graph image language adjusted to the specific features of the scientific problem described here permitted a semantic description of correct palm bone structures. It also enabled the interpretation of images showing some in-born lesions, such as additional bones or acquired lesions such as their incorrect junctions resulting from injuries and synostoses.

How to cite

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Tadeusiewicz, Ryszard, and Ogiela, Marek. "Picture languages in automatic radiological palm interpretation." International Journal of Applied Mathematics and Computer Science 15.2 (2005): 305-312. <http://eudml.org/doc/207745>.

@article{Tadeusiewicz2005,
abstract = {The paper presents a new technique for cognitive analysis and recognition of pathological wrist bone lesions. This method uses AI techniques and mathematical linguistics allowing us to automatically evaluate the structure of the said bones, based on palm radiological images. Possibilities of computer interpretation of selected images, based on the methodology of automatic medical image understanding, as introduced by the authors, were created owing to the introduction of an original relational description of individual palm bones. This description was built with the use of graph linguistic formalisms already applied in artificial intelligence. The research described in this paper demonstrates that for the needs of palm bone diagnostics, specialist linguistic tools such as expansive graph grammars and EDT-label graphs are particularly well suited. Defining a graph image language adjusted to the specific features of the scientific problem described here permitted a semantic description of correct palm bone structures. It also enabled the interpretation of images showing some in-born lesions, such as additional bones or acquired lesions such as their incorrect junctions resulting from injuries and synostoses.},
author = {Tadeusiewicz, Ryszard, Ogiela, Marek},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {palm disease diagnostics; computer-aided diagnosis; syntactic pattern recognition; image understanding; medical image analysis},
language = {eng},
number = {2},
pages = {305-312},
title = {Picture languages in automatic radiological palm interpretation},
url = {http://eudml.org/doc/207745},
volume = {15},
year = {2005},
}

TY - JOUR
AU - Tadeusiewicz, Ryszard
AU - Ogiela, Marek
TI - Picture languages in automatic radiological palm interpretation
JO - International Journal of Applied Mathematics and Computer Science
PY - 2005
VL - 15
IS - 2
SP - 305
EP - 312
AB - The paper presents a new technique for cognitive analysis and recognition of pathological wrist bone lesions. This method uses AI techniques and mathematical linguistics allowing us to automatically evaluate the structure of the said bones, based on palm radiological images. Possibilities of computer interpretation of selected images, based on the methodology of automatic medical image understanding, as introduced by the authors, were created owing to the introduction of an original relational description of individual palm bones. This description was built with the use of graph linguistic formalisms already applied in artificial intelligence. The research described in this paper demonstrates that for the needs of palm bone diagnostics, specialist linguistic tools such as expansive graph grammars and EDT-label graphs are particularly well suited. Defining a graph image language adjusted to the specific features of the scientific problem described here permitted a semantic description of correct palm bone structures. It also enabled the interpretation of images showing some in-born lesions, such as additional bones or acquired lesions such as their incorrect junctions resulting from injuries and synostoses.
LA - eng
KW - palm disease diagnostics; computer-aided diagnosis; syntactic pattern recognition; image understanding; medical image analysis
UR - http://eudml.org/doc/207745
ER -

References

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  14. Tadeusiewicz R. and Ogiela M.R. (2004c): Processing, analysis, recognition, and automatic understanding of medical images, In: Optical Methods, Sensors, Image Processing, and Visualization in Medicine (A. Nowakowski and B.B. Kosmowski, Eds.). - Proc. SPIE, Vol. 5505 (Progress in Biomedical Optics and Imaging, Vol. 5, No. 31), pp. 101-109. 

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