Biomedical Engineering Reference
In-Depth Information
Fig. 13.4
3D segment visualization and isosurface rendering using marching cube in YaDiV
As OsiriX, it gives the user data freedom to approve or modify the segmentation
according to his/her choice and attach annotation to each segmented part.
Finally, 3Dslicer is another open source application for medical image visual-
ization and analysis. It is mainly used to visualize acquired patient's data but it in-
cludes also different algorithms for image segmentation and registration, developed
by researchers around the world. Currently, this platform also gives some function-
alities for supporting diagnosis, such as matching the acquired data with canonical
shape models.
13.2.2 Multiscale Spatiotemporal Visualisation
The Multiscale Spatiotemporal Visualisation (MSV) project is an International
cooperation between the European @neurIST and VPHOP integrated projects, the
US National Alliance for Medical Imaging Computing (NA-MIC), and the New
Zealand-based IUPS Physiome [
6
]. The aim of the MSV project is to develop an
open source library for the visualization and interaction with multi-scale biomedical
data (see Fig.
13.5
). The main interesting feature of this project is that the medical
visualization platform aims at incorporating knowledge. In fact, this project is work-
ing on the explicit use of knowledge to fill the gap between visualization across
different scales of the same patient's data.
The main goals of this project for multi-scale visualization are: (i) the visualiza-
tion across time and space (spatial and temporal data); (ii) the integration of large
data sets from different levels and scales; (iii) the handling of gaps among different
