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VIIP
2001

Aligning Large-scale Medical and Biological Data Sets: Exploring a Monkey Brain

10 years 5 months ago
Aligning Large-scale Medical and Biological Data Sets: Exploring a Monkey Brain
This project addresses the issue of developing interactive rendering methods for datasets which cannot be stored on a single hard drive or in main memory anymore. Our dataset is a set of 1400 slices (single cross-sections) of a monkey brain, which has been sliced more than 15 years ago at the Center for Neuroscience at UC Davis, and recently has been scanned at a very high resolution (more than 10MB per image in compressed format). The enormous resolution allows us to zoom from a global view down to the cell level, all in one image. This exciting range of rendering options requires scalable, multiresolution rendering techniques. The challenges we encounter with this data set is an extreme misalignment of the slices due to manual placement onto glass object carriers and manual insertion in the film scanner. We present a semi-automated method which compensates for most of these artifacts and identifies those slices that cannot be handled and aligned automatically. The algorithm reduces ...
Dmitry Shulga, Joerg Meyer
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where VIIP
Authors Dmitry Shulga, Joerg Meyer
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