Using numerical model to predict hydrocephalus based on MRI images

Xiaobin Shen, Guillermo Narsilio, Hongxin Wang, David Smith, Gary Egan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Abnormal flow of cerebrospinal fluid (CSF) may lead to a hydrocephalus condition as a result of birth defects, accident or infection. In this paper we use raw MRI data to work out the "Tissue Classification Segmentation" image and then import this realistic brain geometry into a finite element software so as to simulate CSF velocity and pressure distributions throughout the brain tissue in hydrocephalus. Such procedure is summarized using a 2D case-study.

Original languageEnglish
Title of host publicationProc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007
Pages51-54
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007 - Hangzhou, China
Duration: 12 Oct 200714 Oct 2007

Conference

Conference2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007
CountryChina
CityHangzhou
Period12/10/0714/10/07

Cite this

Shen, X., Narsilio, G., Wang, H., Smith, D., & Egan, G. (2007). Using numerical model to predict hydrocephalus based on MRI images. In Proc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007 (pp. 51-54). [4387685] https://doi.org/10.1109/NFSI-ICFBI.2007.4387685