@inproceedings{a3293543e33a4de48df90c5fc8738d92,
title = "Joint visualization of UKF tractography data",
abstract = "Tractography methods provide ways to explore white mater in brain. UKF Tractography is a promising one in processing cross fibers and edema regions. In order to get more insight into UKF tractography, we present a joint visualization scheme for UKF tractography data, which integrates and visualizes fiber tracts, diffusion tensors, and multiple tensor measures at the same time. In the scheme, a new kind of tensor glyphs called cylingons, which is similar to cylinder but has more lateral faces, is designed to hold multiple scalar measures through the color mapping of faces. Cylingons are then combined with fiber tracts to provide global and local views under the control of different visualizing options. Initial tests and applications show that our approach can do most work of visual analysis for UKF tractography data, and help to get something that is worthy of further study.",
keywords = "Glyph design, Tensor model, Tractography, UKF, Visualization",
author = "Wen Zhao and Wenyao Zhang and Na Wang and Pin Liao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 9th International Conference on Image and Graphics, ICIG 2017 ; Conference date: 13-09-2017 Through 15-09-2017",
year = "2017",
doi = "10.1007/978-3-319-71598-8\_15",
language = "English",
isbn = "9783319715971",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "158--169",
editor = "Yao Zhao and Xiangwei Kong and David Taubman",
booktitle = "Image and Graphics - 9th International Conference, ICIG 2017, Revised Selected Papers",
address = "Germany",
}