Title :
Analysis and synthesis of three-dimensional Gaussian Markov random fields
Author :
Ranguelova, E. ; Quinn, A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Dublin Univ., Ireland
Abstract :
A method for synthesis of 3-D Gaussian Markov random fields (GMRF) is presented. Following this, a scheme for the estimation of the parameters of the model using the method of least squares (LS) and several fast techniques for segmentation of volumetric imaging are outlined. The superior performance of the 3-D analysis algorithms over 2-D processing slice by slice is shown using both synthetic textured images and real brain magnetic resonance (MR) images
Keywords :
Gaussian processes; Markov processes; biomedical MRI; least squares approximations; parameter estimation; performance evaluation; 3D Gaussian Markov random fields; least squares method; parameters estimation; performance; real brain magnetic resonance images; volumetric imaging segmentation; Algorithm design and analysis; Image analysis; Image segmentation; Image texture analysis; Least squares approximation; Magnetic analysis; Magnetic resonance imaging; Markov random fields; Parameter estimation; Performance analysis;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817150
