Title :
An Evaluation of a Combined Spline Based and Rate of Energy Dissipation Based Segmentation of Medical Blood Flow Images
Author :
Pashaee, A. ; Moosavi, M.H. ; Pashaee, M. ; Fatouraee, N.
Author_Institution :
Amirkabir Univ. of Technol., Tehran
Abstract :
Domain characteristics provide some constraints for accurate segmentation of special domain (e.g. flow) images. These constraints usually obtain a type of region based segmentation and in combination with the intensity based segmentation methods obtain overcoming results. When a boundary based segmentation method is considering to be aligned with these region based methods, some special efforts are necessary to make them compatible. Here we address a method to combine two boundary and regional based segmentation methods. In this regard boundary based segmentation is changed to be compatible with a regional based energy dissipation constraint in a sample flow domain. A quadratic spline function is used for boundary based segmentation of flow domain. The regional equivalent factor of this method is provided using the Gauss theorem. The numerical implementation of this method is provided with construction of boundary elements on the spline boundary segments. The rate of energy dissipation at blood elements is applied as the regional segmentation factor. It calculated from the velocity data of the flow Image. An overcoming segmentation factor is provided by mixing both methods. For implementation of this method a simulated Phase- Contrast Magnetic Resonance Image (PC-MRI) of Couette flow system is considered.
Keywords :
Couette flow; biomedical MRI; blood; haemodynamics; image segmentation; medical image processing; splines (mathematics); Couette flow system; Gauss theorem; combined spline based segmentation; domain characteristics; energy dissipation based segmentation; medical blood flow images; quadratic spline function; regional segmentation factor; simulated phase-contrast magnetic resonance image PC-MRI; Biomedical equipment; Biomedical imaging; Blood flow; Energy dissipation; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Medical services; Phase detection; Spline; Blood Flow Velocity; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Cardiovascular;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4352407