Compression of ultrasonic RF data

Author

Pesavento, A. ; Burow, V. ; Ermert, H.

Author_Institution

Dept. of Electr. Eng., Ruhr-Univ., Bochum, Germany

Volume

2

fYear

1997

fDate

5-8 Oct 1997

Firstpage

1471

Abstract

A compression algorithm is presented, which utilizes the special properties of ultrasonic radio frequency (RF) data. The compression is done in two steps: First, linear predictive coding (LPC) is applied, using an one-step-predictor. Further, the remaining error of the prediction is stored using only the necessary word length to store the signal. A lossy extension of the algorithm is presented, which stores only the upper bits of the error signal. The algorithm has been tested with both, data of a speckle phantom and in vivo data. The data could be compressed to approximately 30-55% of the original data size using the lossless algorithm. In comparison, a conventional compression tool achieves 65-75 % of the original data size

Keywords

acoustic signal processing; biomedical ultrasonics; data compression; linear predictive coding; medical image processing; speckle; algorithm; error signal upper bits; in vivo data; lossless algorithm; lossy extension; medical diagnostic imaging; one-step-predictor; original data size; prediction error; speckle phantom; ultrasonic RF data compression; Compression algorithms; Digital systems; Dynamic range; Entropy; Image coding; Imaging phantoms; Linear predictive coding; Radio frequency; Speckle; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1997. Proceedings., 1997 IEEE

Conference_Location

Toronto, Ont.

ISSN

1051-0117

Print_ISBN

0-7803-4153-8

Type

conf

DOI

10.1109/ULTSYM.1997.661854

Filename

661854