Title: Fully automatic elastic registration of MR images with statistical feature extraction
Authors: Held, Martin
Weiser, Werner
Wilhelmstötter, Franz
Citation: Journal of WSCG. 2004, vol. 12, no. 1-3, p. 153-160.
Issue Date: 2004
Publisher: UNION Agency
Document type: článek
URI: http://wscg.zcu.cz/wscg2004/Papers_2004_Full/H61.pdf
ISSN: 1213-6972
Keywords: lékařské zobrazování;magnetická rezonance;Monte Carlo;analýza hlavních komponent
Keywords in different language: medical imaging;magnetic resonance;Monte Carlo;principal component analysis
Abstract: We present a fully automatic scheme for the registration of MR images. The registration is carried out as a combination of an affine and an elastic transformation. The affine part is generated by means of an affine Principal Components Analysis (PCA), which is an extension of the standard rigid PCA. We use the affine PCA as a preparatory step to guarantee maximum spatial similarity for the subsequent elastic transformation. The elastic transformation itself is based on a displacement vector field generated by means of Monte Carlo methods. Contrary to other Monte Carlo methods that define feature boundaries based on the grey-value transition of adjacent pixels, we make use of more accurate feature boundaries segmented by means of statistical feature extraction methods. We also present a validation method for verifying the segmentation results for simulated MR images. Although discussed in the context of medical imaging, our approach can also be applied as a general-purpose registration method in other fields of image processing. We conclude this paper with a discussion of the results obtained.
Rights: © UNION Agency
Appears in Collections:Volume 12, number 1-3 (2004)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/1716

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