Title :
Anisotropic filtering for detecting left ventricular borders in echocardiographic images
Author :
Helbing, M. ; Orglmeister, R.
Author_Institution :
Inst. fur Elektronik, Tech. Univ. Berlin, Germany
Abstract :
Modelling image smoothing as a nonlinear diffusion process leads to an adaptive filter method. Here it is shown that this method can successfully be applied to ultrasound images as a preprocessing step in the implementation of a left ventricular contour finder. The iterative diffusion process is implemented on a parallel transputer hardware. The contour finder uses a deformable contour model which contains smoothness and connectivity constraints. The contour detection is performed by minimizing an energy function
Keywords :
echocardiography; edge detection; medical image processing; adaptive filter method; anisotropic filtering; connectivity constraints; deformable contour model; echocardiographic images; energy function minimization; image smoothing modelling; iterative diffusion process; left ventricular borders detection; left ventricular contour finder; medical diagnostic imaging; nonlinear diffusion process; parallel transputer hardware; preprocessing step; ultrasound images; Adaptive filters; Anisotropic filters; Anisotropic magnetoresistance; Diffusion processes; Equations; Filtering; Hardware; Image edge detection; Smoothing methods; Ultrasonic imaging;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378470