Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration

SCHWARZ, Daniel and Tomáš KAŠPÁREK. Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration. In Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008. Brno: VUTIUM Press, 2008, p. 1-3. ISBN 978-80-214-3612-1.

Basic information

Original name

Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration

Name in Czech

Prostorový deformační model založený na vlnkovém prahování pro pružnou multimodální registraci

Authors

SCHWARZ, Daniel and Tomáš KAŠPÁREK

Edition

Brno, Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008, p. 1-3, 3 pp. 2008

Publisher

VUTIUM Press

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30000 3. Medical and Health Sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

Faculty of Medicine

ISBN

978-80-214-3612-1

UT WoS

000303717200038

Keywords in English

image analysis;image registration;wavelet transformation

Tags

Image analysis, image registration, wavelet transformation

Tags

International impact, Reviewed

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Abstract

V originále

A transformation model is one of the essential blocks in almost any registration algorithm. Here, a spatial deformation model which combines smoothing by wavelet thresholding and Gaussian filtering is proposed for nonlinear registration. The algorithm is evaluated on 2-D multimodal image data - MRI images from standard Simulated Brain Database.

In Czech

Model geometrické transformac je jedním ze základních stavebních bloků jakékoliv metody obrazové registrace. Prostorový deformační model, který kombinuje vyhlazování pomocí vlnkového prahování s gaussovskou filtrací je zde navržen pro nelineární registraci.

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Links

GP102/07/P263, research and development project

Name: Nelineární multimodální registrace pro automatickou morfometrii obrazů mozku z MRI založenou na anatomicky omezených prostorových deformacích Investor: Czech Science Foundation, Nonlinear multimodal registration for automatic morphometry of MRI brain images based on anatomically constrained spatial deformations