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		<doi>10.1109/SIBGRA.1999.805716</doi>
		<citationkey>Melo:1999:PiTrDe</citationkey>
		<title>Piecewise trilinear deformation of tomographic models</title>
		<year>1999</year>
		<numberoffiles>3</numberoffiles>
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		<author>Melo, Sílvio de Barros,</author>
		<editor>Stolfi, Jorge,</editor>
		<editor>Tozzi, Clésio Luis,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)</conferencename>
		<conferencelocation>Campinas, SP, Brazil</conferencelocation>
		<date>17-20 Oct. 1999</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>113-123</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society and UNICAMP - University of Campinas</organization>
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		<keywords>tomographic images, brain models, piecewise trilinear.</keywords>
		<abstract>In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are deformed to match the shape, orientation and internal morphology of a reference model. In this method the individual and the reference models are each enclosed in a cube which is subdivided to form a rectangular grid. The vertices in the individual model's grid are perturbed and the contents of each cell is then trilinearly mapped into a cube. The composite of all resulting cubes form the deformed model to be compared with the reference. The perturbations on the vertices are generated by a simulated annealing optimization technique. To maximize the performance, the models are represented in a multi-resolution fashion and the method is parallelized.</abstract>
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		<notes>The conference was held in Campinas, SP, Brazil, from October 17 to 20.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/dpi.inpe.br/vagner/1999/11.29.10.02</url>
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