Motion-compensated temporal filtering of B-mode echocardiograms

Matthias Kroemer; Robert A. Close; Julius M. Gardin; Dietrich Meyer-Ebrecht; Jack Sklansky

doi:10.1117/12.274083

25 April 1997 Motion-compensated temporal filtering of B-mode echocardiograms

Matthias Kroemer, Robert A. Close, Julius M. Gardin, Dietrich Meyer-Ebrecht, Jack Sklansky

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274083
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

The purpose of this work is to evaluate the potential of motion-compensated temporal filtering (MCTF) for reduction of noise in B-mode echocardiograms. MCTF is expected to reduce noise with less blurring of the signal than would be obtained from spatial filtering or direct averaging of sequential frames. We perform motion estimation using the assumption of constant brightness for moving features in the image sequences.We transform the images using the assumption of motion-compensated sequence. We then perform direct averaging of a variable number of frames. Filtered images are obtained using direct averaging, MCTF using estimated motion, MCTF using known motion, and a biased 2D least mean squares filter (TDLMS). We compare signal-to-noise ratios (SNR) for each of these methods. Degradation of signal accuracy by blurring is evaluated independently by computing the correlation coefficient between the original and filtered signals. The signal-to-noise ratios and signal accuracy obtained from MCTF are consistently better than obtained from direct averaging of the images. The application of biased TDLMS to the same frames yields even higher SNR in many cases but may also increase the signal blurring.

Citation Download Citation

Matthias Kroemer, Robert A. Close, Julius M. Gardin, Dietrich Meyer-Ebrecht, and Jack Sklansky "Motion-compensated temporal filtering of B-mode echocardiograms", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274083

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