Skoči na glavni sadržaj

Izvorni znanstveni članak

https://doi.org/10.2498/cit.1000820

Improved VSF Algorithm for Smooth Surface Reconstruction from Sparse Medical Data

Roger Lédée
Mohamed Deriche
Matine Bergounioux
Christophe Léger
Ahmad Almhdie


Puni tekst: engleski pdf 621 Kb

str. 123-130

preuzimanja: 522

citiraj


Sažetak

This paper presents a Modified Variational Splines Fitting (MVSF) algorithm for surface reconstruction using thin plate splines on scattered patches or points of originally smooth surfaces. In particular, a more accurate derivation of the discrete equations for the energy corresponding to the thin plate model is introduced. The results obtained on simulated data show that the proposed algorithm converges faster than the original VSF algorithm. Additionally, we discuss an approach for choosing the algorithm’s parameters using a cross validation technique. Results obtained with the modified algorithm are compared to those using a Frequency Fourier-based 3D Harmonic modelling (3DHM) algorithm and show that the proposed algorithm gives an improved performance under the small sample size condition. The developed model has been successfully applied for real biomedical data; in particular for the reconstruction of left ventricle of human heart.

Ključne riječi

Hrčak ID:

44625

URI

https://hrcak.srce.hr/44625

Datum izdavanja:

30.6.2007.

Posjeta: 1.017 *