Artificial intelligence methods in shape feature analysis of selected organs in medical images

• Autorzy: Ogiela, M. , Tadeusiewicz, R.
• Języki publikacji: EN

Abstrakty

EN

The goal of this paper is a presentation of the possibilities of the application of syntactic methods of computer image analysis to the recognition of the local stenoses of the lumen of coronary arteries, and to the detection of pathological signs in upper parts of ureter ducts and renal calyxes. An analysis of the correct morphology of these structures is possible thanks to the application of sequence and tree methods from the group of syntactic methods of pattern recognition. In the case of the analysis of coronary artery images, the main objective is a computer-aided early diagnosis of the different forms of cardiac ischemic diseases. Such diseases may show themselves in the form of stable or unstable disturbances of heart rhythm or infarction. In the analysis of kidney radiograms the main goal is the recognition of local irregularities in ureter lumens, and an examination of the morphology of renal pelvis and calyxes.

Słowa kluczowe

PL

analiza obrazu; obraz rentgenowski; przetwarzanie obrazów medycznych; rozpoznawanie obrazów; sztuczna inteligencja

EN

artificial intelligence; image analysis; image understanding; medical imaging; pattern recognition; X-ray images

• Czasopismo: Image Processing & Communications
• Rocznik: 2000
• Tom: Vol. 6, no 1-2
• Strony: 3-11
• Opis fizyczny: Bibliogr. 12 poz.,

Twórcy

autor

Ogiela, M.

autor

Tadeusiewicz, R.

• AGH Technical University, Institute of Automatics, 30 Mickiewicza St, PL-30-059 Cracow, Poland