Abstract
The aim of the human neuroscanning project is to build an atlas of the human brain, based on a variety of image modalities in particular histological sections of a prepared brain. Reconstructing essential information out of deformed images is a key problem. We describe a method to correct elastic deformations. Since the method is computational expensive a parallel implementation is presented. The measurements and results shown are performed on a cluster of 48 Pentium II PCs connected via Myrinet.
Cite
CITATION STYLE
Modersitzki, J., Obelöer, W., Schmitt, O., & Lustig, G. (1999). Elastic matching of very large digital images on high performance clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1593, pp. 141–149). Springer Verlag. https://doi.org/10.1007/bfb0100575
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