Visualization for Validation and Improvement of Three-dimensional Segmentation Algorithms

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dc.contributor.authorWeber, Gunther H.en_US
dc.contributor.authorHendriks, Cris L. Luengoen_US
dc.contributor.authorKeränen, Soile V. E.en_US
dc.contributor.authorDillard, Scott E.en_US
dc.contributor.authorJu, Derek Y.en_US
dc.contributor.authorSudar, Damiren_US
dc.contributor.authorHamann, Bernden_US
dc.contributor.editorKen Brodlie and David Duke and Ken Joyen_US
dc.date.accessioned2014-01-31T06:52:02Z
dc.date.available2014-01-31T06:52:02Z
dc.date.issued2005en_US
dc.description.abstractThe Berkeley DrosophilaTranscription Network Project (BDTNP) is developing a suite of methods that will allow a quantitative description and analysis of three dimensional (3D) gene expression patterns in an animal with cel- lular resolution. An important component of this approach are algorithms that segment 3D images of an organism into individual nuclei and cells and measure relative levels of gene expression. As part of the BDTNP, we are devel- oping tools for interactive visualization, control, and verification of these algorithms. Here we present a volume visualization prototype system that, combined with user interaction tools, supports validation and quantitative determination of the accuracy of nuclear segmentation. Visualizations of nuclei are combined with information obtained from a nuclear segmentation mask, supporting the comparison of raw data and its segmentation. It is possible to select individual nuclei interactively in a volume rendered image and identify incorrectly segmented objects. Integration with segmentation algorithms, implemented in MATLAB, makes it possible to modify a segmentation based on visual examination and obtain additional information about incorrectly segmented objects. This work has already led to significant improvements in segmentation accuracy and opens the way to enhanced analysis of images of complex animal morphologies.en_US
dc.description.seriesinformationEUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn3-905673-19-3en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis05/093-100en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computing Methodologies/Computer Graphics]: Picture/Image Generation J.3 [Computer Applications/Life and Medical Sciences]: Biology and Geneticsen_US
dc.titleVisualization for Validation and Improvement of Three-dimensional Segmentation Algorithmsen_US
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EuroVis05: Joint Eurographics - IEEE VGTC Symposium on Visualization