Reconstruction of anatomical structures using statistical shape modeling
Smelkina N.A., Kosarev R.N., Nikonorov A.V., Bairikov I.M., Ryabov K.N., Avdeev A.V., Kazanskiy N.L.

 

Samara National Research University, Samara, Russia,
MedX, Samara, Russia,
Image Processing Systems Institute оf RAS – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia,

Samara State Medical University, Samara, Russia

Full text of article: Russian language.

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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.

Citation:
Smelkina NA, Kosarev RN, Nikonorov AV, Bairikov IM, Ryabov KN, Avdeev AV, Kazanskiy NL. Reconstruction of anatomical structures using statistical shape modeling. Computer Optics 2017; 41(6): 897-904. DOI: 10.18287/2412-6179-2017-41-6-897-904.

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