Medical image segmentation using a simulated charged fluid

Herng-Hua Chang; Daniel J. Valentino

doi:10.1117/12.536258

12 May 2004 Medical image segmentation using a simulated charged fluid

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.536258
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

Deformable models are important and popular techniques for extracting the shape of objects in medical images. We used the simulation of a physical system (a Charged Fluid) to guide the evolution of a propagating interface to segment objects in brain MR and CT images. The Charged Fluid was simulated as a system of charged particles that exert a repelling electric force upon each other. In our approach, the boundary of the segmenting object was determined by the image gradient, which was modeled as potential wells that stopped the propagating front. The simulation was evolved in two steps that were governed by Poisson's equation. One allowed the propagating interface of the Charged Fluid to deform into a new shape in response to the electric potential and the image potential. The other allowed Charged Fluid elements to flow along the propagating interface, which was treated as the surface of an isolated conductor, until an electrostatic equilibrium was achieved. The electric potential of the simulated system was rapidly computed from Poisson's equation by the aid of the Fast Fourier Transform. The procedure was repeated until the propagating front resided on the boundary of objects being segmented. This method was used to extract the contour of the brain surface for use in skull stripping applications.

Citation Download Citation

Herng-Hua Chang and Daniel J. Valentino "Medical image segmentation using a simulated charged fluid", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.536258

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available