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ImageVis3D specifications

Information


Unique identifier OMICS_19953
Name ImageVis3D
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Input format UVF
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
Computer skills Medium
Stability Stable
Source code URL http://www.sci.utah.edu/download/imagevis3d
Maintained Yes

Subtools


  • the Qt based UI toolkit
  • the Tuvok IO library
  • Tuvok Volume rendering library

Versioning


No version available

Documentation


Information


Unique identifier OMICS_19953
Name ImageVis3D
Interface Graphical user interface
Restrictions to use None
Computer skills Medium
Stability Stable
Maintained Yes

Subtools


  • the Qt based UI toolkit
  • the Tuvok IO library
  • Tuvok Volume rendering library

Download


download.png

Versioning


No version available

Documentation


Publication for ImageVis3D

ImageVis3D citations

 (5)
library_books

DBS Programming: An Evolving Approach for Patients with Parkinson's Disease

2017
PMCID: 5632902
PMID: 29147598
DOI: 10.1155/2017/8492619

[…] ars, computational models have been developed that incorporate individual patient neuroanatomy to facilitate visual programming. Recently, these models were tested with an iPad application interface (ImageVis3D Mobile) that provided a mobile environment for a visual feedback on the interaction of the stimulation parameters with the surrounding anatomy []. Aside from clear advantage in visual feedb […]

library_books

Col11a1 Regulates Bone Microarchitecture during Embryonic Development

2015
PMCID: 4711924
PMID: 26779434
DOI: 10.3390/jdb3040158

[…] ruction stage was used to produce 6000 serial 4000 × 4000 pixel cross-sectional images. Three-dimensional models were reconstructed using a fixed threshold to analyze the mineralized bone phase using ImageVis3D software (Center for Integrative Biomedical Computing, University of Utah, Salt Lake City, UT, USA). A light Gaussian filter (σ = 1.0, kernel = 3) to remove high-frequency noise followed by […]

library_books

Breast Tissue 3D Segmentation and Visualization on MRI

2013
PMCID: 3745868
PMID: 23983676
DOI: 10.1155/2013/859746

[…] function. However, the region having the maximum value may not be the interested region, and furthermore it does not consider the contribution of the other points along the ray. shows the results of ImageVis3D system which is developed by the Center for Integrative Biomedical Computing, University of Utah. This system can visualize the biological tissue well, but the transfer function should be a […]

library_books

Novel mouse mammary cell lines for in vivo bioluminescence imaging (BLI) of bone metastasis

2012
PMCID: 3473320
PMID: 22510147
DOI: 10.1186/1480-9222-14-6

[…] analysis was generously performed by Anthony Hafez at the Biomedical Research Center, Boise State University (ISBOE Musculoskeletal Research Institute funding). This work was made possible in part by ImageVis3D software funded by the NIH/NCRR Center for Integrative Biomedical Computing, 2P41 RR0112553-12 and the DOE SciDAC Visualization and Analytics Center for Enabling Technologies, DEFC0206ER257 […]

library_books

Segmentation of Multi Isotope Imaging Mass Spectrometry Data for Semi Automatic Detection of Regions of Interest

2012
PLoS One
PMCID: 3276494
PMID: 22347386
DOI: 10.1371/journal.pone.0030576

[…] dium turnover (double arrow), and low turnover (outlined arrow) visible in the 12C15N/12C14N HSI in . The complete segmentation of these 3 classes is shown in . Renderings of the data were made using ImageVis3D and Seg3D . In the future, methods able to split regions that represent distinct structures but may be covered by a single segmented, connected volume would further improve the application […]

Citations

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ImageVis3D institution(s)
Scientific Computing and Imaging Institute, University of Utah, UT, USA; IVDA, DFKI Saarbrücken, Germany
ImageVis3D funding source(s)
Supported by the Cluster of Excellence “Multimodal Computing and Interaction” at the Saarland University, by the NIH/NCRR Center for Integrative Biomedical Computing, P41-RR12553-10, by Award Number R01EB007688 from the National Institute Of Biomedical Imaging And Bioengineering, and by the Office of Advanced Scientific Computing Research, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 through the Scientific Discovery through Advanced Computing (SciDAC) program’s Visualization and Analytics Center for Enabling Technologies (VACET) and by the Intel Visual Computing Institute.

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