Anisotropic filtering for detecting left ventricular borders in echocardiographic images

Author

Helbing, M. ; Orglmeister, R.

Author_Institution

Inst. fur Elektronik, Tech. Univ. Berlin, Germany

fYear

1993

fDate

5-8 Sep 1993

Firstpage

197

Lastpage

200

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1993, Proceedings.

Conference_Location

London

Print_ISBN

0-8186-5470-8

Type

conf

DOI

10.1109/CIC.1993.378470

Filename

378470