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Interactive Histology of Large-Scale Biomedical Image Stacks
November/December 2010 (vol. 16 no. 6)
pp. 1386-1395
ASCII Text
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Won-Ki Jeong, Jens Schneider, Stephen Turney, Beverly E Faulkner-Jones, Dominik Meyer, Rüdiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister, "Interactive Histology of Large-Scale Biomedical Image Stacks," IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 6, pp. 1386-1395, November/December, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2010.168,
author = {Won-Ki Jeong and Jens Schneider and Stephen Turney and Beverly E Faulkner-Jones and Dominik Meyer and Rüdiger Westermann and R. Clay Reid and Jeff Lichtman and Hanspeter Pfister},
title = {Interactive Histology of Large-Scale Biomedical Image Stacks},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {16},
number = {6},
issn = {1077-2626},
year = {2010},
pages = {1386-1395},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.168},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Interactive Histology of Large-Scale Biomedical Image Stacks
IS - 6
SN - 1077-2626
SP1386
EP1395
EPD - 1386-1395
A1 - Won-Ki Jeong,
A1 - Jens Schneider,
A1 - Stephen Turney,
A1 - Beverly E Faulkner-Jones,
A1 - Dominik Meyer,
A1 - Rüdiger Westermann,
A1 - R. Clay Reid,
A1 - Jeff Lichtman,
A1 - Hanspeter Pfister,
PY - 2010
KW - Gigapixel viewer
KW - biomedical image processing
KW - GPU
KW - texture compression
VL - 16
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Won-Ki Jeong, Harvard University
Jens Schneider, King Abdullar University of Science and Technology
Stephen Turney, Harvard University
Beverly E Faulkner-Jones, BIDMC Pathology and Harvard Medical School
Dominik Meyer, Technische Universität München
Rüdiger Westermann, Technische Universität München
R. Clay Reid, Harvard Medical School
Jeff Lichtman, Harvard University
Hanspeter Pfister, Harvard University
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 specifically targets interactive examination of arbitrarily large image stacks. Our framework is built upon two core techniques: display-aware processing and GPU-accelerated texture compression. With display-aware processing, only the currently visible image tiles are fetched and aligned on-the-fly, reducing memory bandwidth and minimizing the need for time-consuming global pre-processing. Our novel texture compression scheme for GPUs is tailored for quick browsing of image stacks. We evaluate the usability of our viewer for two histology applications: digital pathology and visualization of neural structure at nanoscale-resolution in serial electron micrographs.

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Index Terms:
Gigapixel viewer, biomedical image processing, GPU, texture compression
Citation:
Won-Ki Jeong, Jens Schneider, Stephen Turney, Beverly E Faulkner-Jones, Dominik Meyer, Rüdiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister, "Interactive Histology of Large-Scale Biomedical Image Stacks," IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 6, pp. 1386-1395, Nov.-Dec. 2010, doi:10.1109/TVCG.2010.168
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