Title :
Using Numerical Model to Predict Hydrocephalus Based on MRI Images
Author :
Shen, Xiaobin ; Narsilio, Guillermo ; Wang, Hongxin ; Smith, David ; Egan, Gary
Author_Institution :
Melbourne Univ., Melbourne
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.
Keywords :
biological tissues; biomedical MRI; brain models; diseases; finite element analysis; flow simulation; image classification; image segmentation; medical image processing; 2D model; MRI images; brain geometry; brain tissue; cerebrospinal fluid flow; finite element software; hydrocephalus prediction; numerical model; pressure distributions; tissue classification segmentation image; Birth disorders; Brain modeling; Computational modeling; Finite element methods; Geometry; Magnetic resonance imaging; Mathematical model; Numerical models; Skull; Solid modeling;
Conference_Titel :
Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-0949-5
Electronic_ISBN :
978-1-4244-0949-5
DOI :
10.1109/NFSI-ICFBI.2007.4387685
