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Wyszukujesz frazę "mesh selection" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The numerical solution of nonlinear two-point boundary value problems using iterated deferred correction - a survey
Autorzy:
Cash, J. R.
Powiązania:
https://bibliotekanauki.pl/articles/255625.pdf
Data publikacji:
2006
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
deferred correction
boundary value problems
conditioning
mesh selection
Opis:
The use of iterated deferred correction has proved to be a very efficient approach to the numerical solution of general first order systems of nonlinear two-point boundary value problems. In particular the two high order codes TWPBVP.f, based on mono-implicit Runge-Kutta (MIRK) formulae, and TWPBVPL.f based on Lobatto Runge-Kutta formulae as well as the continuation codes ACDC.f and COLMOD.f are now widely used. In this survey we describe some of the problems involved in the derivation of efficient deferred correction schemes. In particular we consider the construction of high order methods which preserve the stability of the underlying formulae, the choice of the mesh choosing algorithm which is based both on local accuracy and conditioning, and the computation of continuous solutions.
Źródło:
Opuscula Mathematica; 2006, 26, 2; 269-287
1232-9274
2300-6919
Pojawia się w:
Opuscula Mathematica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Topological Fragmentation of Medical 3D Surface Mesh Models for Multi-Hierarchy Anatomical Classification
Autorzy:
Zwettler, G. A.
Backfrieder, W.
Powiązania:
https://bibliotekanauki.pl/articles/226172.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
3D surface mesh
functional classification in medicine
multi-hierarchy classification
level of detail
spline-based surface selection
Opis:
High resolution 3D mesh representations of patient anatomy with appendant functional classification are of high importance in the field of clinical education and therapy planning. Thereby, classification is not always possible directly from patient morphology, thus necessitating tool support. In this work a hierarchical mesh data model for multi-hierarchy anatomical classification is introduced, allowing labeling of a patient model according to various medical taxonomies. The classification regions are thereby specified utilizing a spline representation to be placed and deformed by a medical expert at low effort. Furthermore, application of randomized dilation allows conversion of the specified regions on the surface into fragmented and closed sub-meshes, comprising the entire anatomical structure. As proof of concept, the semi-automated classification method is implemented for VTK library and visualization of the multihierarchy anatomical model is validated with OpenGL, successfully extracting sub-meshes of the brain lobes and preparing classification regions according to Brodmann area taxonomy.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 2; 129-136
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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