Ogiela, Marek
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Ogiela, Marek Romuald
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informatyka techniczna i telekomunikacja
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informatyka
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Item type:Article, Access status: Open Access , Metody sztucznej inteligencji w analizie morfologii wybranych narządów na obrazach medycznych(Wydawnictwa AGH, 2001) Ogiela, Marek; Tadeusiewicz, RyszardThe goal of this paper is the presentation of the possibilities of application of syntactic methods of computer image analysis for recognition of local stenoses of coronary arteries lumen and detection of pathological signs in upper parts of ureter ducts and renal calyxes. Analysis of 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 analysis of coronary arteries images the main objective is computer-aided early diagnosis of different forms of ischemic cardiovascular diseases. Such diseases may reveal in the form of stable or unstable disturbances of heart rhythm or infarction. In analysis of kidney radiograms the main goal is recognition of local irregularities in ureter lumens and examination of morphology of renal pelvis and calyxes.Item type:Article, Access status: Open Access , Dopasowanie krzywej tonalnej i równoważenie poziomów szarości przy kontrastowaniu i wstępnej wizualizacji struktur w analizie zdjęć medycznych(Wydawnictwa AGH, 2000) Ogiela, MarekThe article presents a group of transformations which medical pictures can be subjected to, in the aim of enhancing their contrast and better distinguishing and diagnosis of organs shown in this pictures. In this work the analysis was based on images acquired by various techniques, such as roentgenography (RTG), magnetic resonance (MRI), classic computer tomography (CT) and ultrasonography (USG). Contrast expansion in these images was performed using the histogram method of balancing of gray levels and the method based on the modification of tonal curve. Such transformations were necessary during preliminary processing of these images, especially to adjust their quality for next steps of the analysis in case of automatic medical diagnosis, and also to enable their visual evaluation by specialists and diagnostic interpretation of images of organs and their structural features. The studies show that the method based on the modification of tonal curve yields better results in case of images acquired by roentgenography and magnetic resonance imaging. On the other hand, histogram method is more suitable for contrast expansion in CT and USG images.Item type:Article, Access status: Open Access , Grafowe języki obrazowe w znaczeniowym opisie przestrzennych struktur naczyń wieńcowych(2005) Ogiela, Marek; Trzupek, MirosławIn this paper has been proposed developing the new syntactic - semantic meaning description of spatial coronary arteries structure. Thanks such description will be possible to make essentially steered semantic interpretation of section coronary arteries morphology, what will allow us fast identification and automatisation of lumen structure detection. In this aim has been used graph image languages based on the expansive graph grammars of edNLC type, enabling creation the universal and informative meaning description of spatial coronary arteries structure. Application of such semantic description in the integrated modules of intelligent systems medical diagonosis, supporting the early detection stricture which defect the flow of oxidizing blood to given area of cardiac muscle.Item type:Article, Access status: Open Access , Metody transformacji prostującej i analizy zewnętrznych konturów obiektów w rozpoznawaniu obrazów medycznych(Wydawnictwa AGH, 1999) Ogiela, MarekThe article presents an algorithm of the transformation straightening outer contours of objects, allowing to transform biological structures of interest, visible in medical images, from two-dimensional space of the image into two-dimensional graph, representing contours of the straightened object with its possible outer morphological changes, indicating the progress of pathological processes. The developed method is based on a sequence of geometrie transformations of the analyzed objects in the image, and its operation was described in detail and illustrated by exampIes of transformation of main pancreatie ducts, appearing in X-ray images acquired by ERCP, as well as by graphs showing outer morphology of blood vessels in the fundus of the eye. The proposed method is universal, and due to the fact that the transformation preserves and exposes pathologic morphological changes, such as abnormal lateral branches, Iocal dilatations or projections it can also be used in the recognition and analysis of other structure images acquired by va-rious techniques of computer tomography, e.g. cerebral vessels, bile ducts, coronary vessels or fragments of gastrointestinal tract. The graphs of the structures of interest obtained as a result of the transformation straightening outer contours of objects are a starting point for the recognition of morphological changes, important for diagnosis, using syntactic methods of pattern recognition.Item type:Article, Access status: Open Access , Nowy element w instrumentarium inteligencji obliczeniowej - automatyczne rozumienie obrazów(Wydawnictwa AGH, 2008) Tadeusiewicz, Ryszard; Ogiela, MarekTechniki inteligencji obliczeniowej są rozwijane od blisko pół wieku, dlatego mimo wciąż awangardowego charakteru tego działu informatyki, niektóre z nich osiągnęły już swoisty stan nasycenia zarówno w obszarze rozwoju teorii, jak i w zakresie ważniejszych zastosowań. Z tego powodu bardzo ważne jest poszukiwanie nowych narzędzi, które mogą tę problematykę skierować na nową drogę, pozwalając na jej dalszy rozwój. Jednym z takich nowych obszarów, w których inteligencja obliczeniowa może się rozwijać, jest automatyczne rozumienie obrazów. W artykule przedstawiono uzasadnienie celowości dążenia do automatycznego rozumienia obrazów z punktu widzenia logiki rozwoju systemów informacyjnych, a także przytoczono wybrane informacje o tym, co autorom udało się osiągnąć w zakresie praktycznej realizacji tego dążenia. Głównym celem tej pracy jest podsumowanie wcześniejszych prac, generalizacja ich wyników oraz nakreślenie kierunków dalszego rozwoju badań nad automatycznym rozumieniem.