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Randal Burns,
Kunal Lillaney,
Daniel R. Berger,
Logan Grosenick,
Karl Deisseroth,
R. Clay Reid,
William Gray Roncal,
Priya Manavalan,
Davi D. Bock,
Narayanan Kasthuri,
Michael Kazhdan,
Stephen J. Smith,
Dean Kleissas,
Eric Perlman,
Kwanghun Chung,
Nicholas C. Weiler,
Jeff Lichtman,
Alexander S. Szalay,
Joshua T. Vogelstein,
R. Jacob Vogelstein
July 2013
SSDBM: Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4, Downloads (12 Months): 41, Downloads (Overall): 250
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We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for time-series and multi-channel data as well. The system was designed primarily for workloads that build connectomes ---neural connectivity maps of the brain---using the parallel ...
Keywords:
connectomics, data-intensive computing
2
November 2010
IEEE Transactions on Visualization and Computer Graphics: Volume 16 Issue 6, November 2010
Publisher: IEEE Educational Activities Department
Histology is the study of the structure of biological tissue using microscopy techniques. As digital imaging technology advances, high resolution microscopy of large tissue volumes is becoming feasible; however, new interactive tools are needed to explore and analyze the enormous datasets. In this paper we present a visualization framework that ...
Keywords:
biomedical image processing, texture compression, GPU, Gigapixel viewer, biomedical image processing, GPU, texture compression, Gigapixel viewer
3
May 2010
IEEE Computer Graphics and Applications: Volume 30 Issue 3, May 2010
Publisher: IEEE Computer Society Press
Recent advances in optical and electron microscopy let scientists acquire extremely high-resolution images for neuroscience research. Data sets imaged with modern electron microscopes can range between tens of terabytes to about one petabyte. These large data sizes and the high complexity of the underlying neural structures make it very challenging ...
Keywords:
connectome, neuroscience, volume rendering, segmentation, computer graphics, graphics and multimedia, graphics hardware, implicit surface rendering, neuroscience, connectome, segmentation, volume rendering, implicit surface rendering, graphics hardware, computer graphics, graphics and multimedia
4
October 2009
MICCAI '09: Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Publisher: Springer-Verlag
We introduce an efficient search strategy to substantially accelerate feature based registration. Previous feature based registration algorithms often use truncated search strategies in order to achieve small computation times. Our new accelerated search strategy is based on the realization that the search for corresponding features can be dramatically accelerated by ...
5
June 2009
ISBI'09: Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Publisher: IEEE Press
In this paper we introduce a novel algorithm for alignment of Electron Microscopy images for 3D reconstruction. The algorithm extends the Expectation Maximization - Iterative Closest Points (EM-ICP) algorithm to go from point matching to patch matching. We utilize local patch characteristics to achieve improved registration. The method is applied ...
Keywords:
reconstruction, registration, microscopy
6
October 2007
MICCAI'07: Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Publisher: Springer-Verlag
3D reconstruction from serial 2D microscopy images depends on non-linear alignment of serial sections. For some structures, such as the neuronal circuitry of the brain, very large images at very high resolution are necessary to permit reconstruction. These very large images prevent the direct use of classical registration methods. We ...
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