Skip to Main content Skip to Navigation
Conference papers

A Multi-Volume Visualization Framework for Spatial Aligned Volumes after 3D/3D Image Registration

Abstract : A new method for the visualization of spatial aligned volumes after 3D/3D image registration is presented in this paper. This work aims at displaying the full information of the multi-volume in the same scene. First, we form a vectorial volume from the spatial aligned multi-volume. Then, a statistical vectorial volume classification method based on neighborhood weighted Gaussian mixture model is applied to analyze the vectorial volume and get material distribution information. Finally, several rendering techniques are adapted to visualize the parameters. We imply an application case: the visualization of preoperative kidney planning system to express our visualization method, but this method is not limited to the specific application case. According to the levels where the data intermixing occurs, our method mix the data at the earliest level so that it is called the acquisition level intermixing method.
Document type :
Conference papers
Complete list of metadatas

Cited literature [4 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-00484878
Contributor : Jean-Louis Dillenseger <>
Submitted on : Wednesday, May 19, 2010 - 1:38:27 PM
Last modification on : Tuesday, September 3, 2019 - 6:02:02 PM
Long-term archiving on: : Thursday, September 16, 2010 - 2:18:01 PM

File

paper_ICISE_2009.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Hui Tang, Jean-Louis Dillenseger, Xudong Bao, Li Min Luo. A Multi-Volume Visualization Framework for Spatial Aligned Volumes after 3D/3D Image Registration. 1st International Conference on Information Science and Engineering (ICISE), 2009, Dec 2010, Nanjing, China. pp.3571 - 3574, ⟨10.1109/ICISE.2009.77⟩. ⟨inserm-00484878⟩

Share

Metrics

Record views

558

Files downloads

323