Windows 32 bits with Qt4 (For Windows, prefer to use the Docker image) Linux 64 bits with Qt4 (tar xzvf vv-1.4Qt4-linu圆4.tar.gz to extract it) Latest release is v1.4 (October 2016 / updated March 2018):
This work is still in progress, we welcome any advice or opinions that can make this software more useful.īinaries are provided without any warranty. presented at the MICCAI workshop Systems and Architectures for Computer Assisted Interventions. VV : Viewer for the evaluation of 4D image registration. When using it for publications, please make reference to the article: Feel free to use it as you like! We would like to encourage you to share your experience by sending an email to briefly describing your use of vv. VV is distributed under two open source licenses: BSD and CeCILL-B license from the CNRS, without restrictions and without warranty. With a modern graphic card, navigation is fast and smooth. It contains several tools for superimposing images using complementary colors or transparency, visualizing vector fields and defining landmarks. VV is more specifically designed for qualitative evaluation of image registration and deformation field visualization. VV runs (at least!) on Linux, Windows and Mac OS in 32 and 64 bits. VV is an open-source and cross platform image viewer, designed for fast and simple visualization of spatio-temporal images: 2D, 2D+t, 3D and 3D+t (or 4D) images. David Sarrut, Pierre Seroul, Joël Schaerer, Simon Rit, Jef Vandemeulebroucke, Thomas Baudier, Bharath Navalpakkam, Gauthier Bouilhol, Romulo Pinho, Vivien Delmon and Maxime Pech, ( Mailing List Subscription)
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