Reconstruction of anatomical structures using statistical shape modeling
Автор: Smelkina Natalya Alekseevna, Kosarev Ruslan Nikolaevich, Nikonorov Artem Vladimirovich, Bairikov Ivan Michailovich, Ryabov Konstantin Nikolaevich, Avdeev Evgeny Vladimirovich, Kazanskiy Nikolay Lvovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 6 т.41, 2017 года.
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We propose a method of statistical shape modeling applied to reconstructing anatomical structures with deformations. This method is promising for modeling deformed body parts that have a certain normal shape. The method of statistical shape modeling allows one to reconstruct a deformed object using information about the normal shape of the body part and its undeformed fragment, while taking into account peculiar individual features and the variability relative to the average shape.
Statistical modeling, shape model, poin tset registration
Короткий адрес: https://sciup.org/140228774
IDR: 140228774 | DOI: 10.18287/2412-6179-2017-41-6-897-904
