Szczegóły publikacji

Opis bibliograficzny

An application software for anatomical structures segmentation from tomographic data of abdominal cavity / Grzegorz Toporek, Mirosław SOCHA, Andrzej SKALSKI // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2011 — vol. 7 no. 4, s. 85–89. — Bibliogr. s. 88–89, Abstr.

Autorzy (3)

Słowa kluczowe

region growing algorithmapplication softwarecomputed tomographyimage segmentation

Dane bibliometryczne

ID BaDAP66218
Data dodania do BaDAP2012-06-05
Tekst źródłowyURL
Rok publikacji2011
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaBio-Algorithms and Med-Systems

Abstract

New, increasingly sophisticated and accessible imaging methods, ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MRI) to Positron Emission Tomography (PET) allow scientists and medical doctors to obtain non-invasively potentially life-saving information about patient condition and body. 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 computer-aided diagnosis, radiotherapies, tumor tracking and surgical operation planning and simulation. This is exactly the field where very accurate and reliable image segmentation methods can play a key role. In this work, a cross-platform application software equipped in algorithm for segmentation of anatomical structures from abdomen CT data has been developed. As a segmentation technique balancing good accuracy and efficiency, a semi-automated, region growing segmentation algorithm, based on voxel intensities criteria, was used. Additional features of an application are: ability to visualize large medical data, render segmentation results in 3D as well as support of DICOM standard.

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