Aplikacja wspierająca proces konturowania organów w danych medycznych

• Autorzy: Flis E. , Socha M. , Skalski A.

Warianty tytułu

EN

A software application supporting segmentation process for medical data

• Języki publikacji: PL

Abstrakty

PL

Ze względu na coraz częstsze wykorzystanie danych obrazowych w medycynie, a bardzo często wiążąca się z tym konieczność wykonywania obrysów struktur anatomicznych pojawiła się potrzeba tworzenia aplikacji skracających i ułatwiających ten proces. W artykule przedstawiono aplikację wspierającą ten proces. Aplikacja umożliwia automatyczną segmentację struktur, korekcję wyników przez użytkownika, dokonywanie pomiarów jak i obsługę typowego formatu zapisu danych DICOM.

EN

New and accessible imaging methods, ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MRI) to Positron Emission Tomography (PET) allow medical doctors to obtain non-invasively potentially life-saving information about patient condition and body. This information is usually used to improve diagnostic accuracy and give more information during treatment. However, the purpose of recent medical imaging is not only to obtain simple visualization and insight into human anatomic structures, but also as a powerful tool for CAD, radiotherapies, surgical operation planning and simulation. This is exactly the field where image segmentation methods can play a key role. In this work, a cross-platform application software equipped with an algorithm for segmentation of anatomical structures (region growing and deformable models), manual contouring and medical data visualization was developed. Results from the region growing algorithm can be a final outcome with or without user's corrections or can be a transform to the initial surface for deformable models technique. The software application was written in C++ language with Qt, VTK, ITK and GDCM toolkits [13-16]. Graphic User Interface is shown in Fig. 1. The application works with medical data in DICOM [2] and DICOM RT [3] standard. The exemplary segmentation results are presented in Figs. 3 and 4.

Słowa kluczowe

PL

aplikacja; segmentacja; tomografia komputerowa DICOM; DICOM RT; model deformowalny

EN

software; segmentation; deformable models; CT; DICOM; DICOM RT

• Wydawca: Wydawnictwo PAK
• Czasopismo: Pomiary Automatyka Kontrola
• Rocznik: 2012
• Tom: R. 58, nr 4
• Strony: 323--326
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Flis E.

autor

Socha M.

autor

Skalski A.

• AGH Akademia Górniczo-Hutnicza, Katedra Metrologii, Al. Mickiewicza 30, 30-059 Kraków,

Bibliografia

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