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JOURNALS // Computer Optics // Archive

Computer Optics, 2017 Volume 41, Issue 6, Pages 897–904 (Mi co463)

This article is cited 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

DOI: 10.18287/2412-6179-2017-41-6-897-904



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