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This article is cited in 35 scientific papers (total in 35 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
Reconstruction of anatomical structures using statistical shape modeling
N. A. Smelkinaa, R. N. Kosarevb, A. V. Nikonorovabc, I. M. Bairikovd, K. N. Ryabovd, E. V. Avdeeva, N. L. Kazanskiyca a Samara National Research University, Samara, Russia
b MedX, Samara, Russia
c Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia
d Samara State Medical University, Samara, Russia
Abstract:
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.
Keywords:
statistical modeling, shape model, poin tset registration.
Received: 17.10.2017 Accepted: 25.11.2017
Citation:
N. A. Smelkina, R. N. Kosarev, A. V. Nikonorov, I. M. Bairikov, K. N. Ryabov, E. V. Avdeev, N. L. Kazanskiy, “Reconstruction of anatomical structures using statistical shape modeling”, Computer Optics, 41:6 (2017), 897–904
Linking options:
https://www.mathnet.ru/eng/co463 https://www.mathnet.ru/eng/co/v41/i6/p897
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Abstract page: | 259 | Full-text PDF : | 79 | References: | 34 |
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