Optimal image operator design technique for coded excitation ultrasound imaging system

J. Shen, H. Erdogan, E. S. Ebbini

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Recently, a new coded excitation ultrasound imaging system was proposed. The system is based on a discretized linear model of the received data from the region of interest (ROI). Since the image reconstruction quality of the system is determined by pseudo-inverse image operator (PIO), an effective design method is necessary to find an optimal PIO. In this paper, an optimal PIO design method is presented with the help of singular value decomposition (SVD) technique. The proposed design method provides effective procedures for searching a set of suitable system parameters (such as grid size, codes, transmit channels, etc.). Then the desirable PIO is evaluated by a method based on the SVD rank reduction technique. Simulation results are given to show the efficiency of the proposed PIO design method.

Original languageEnglish (US)
Pages (from-to)1777-1781
Number of pages5
JournalProceedings of the IEEE Ultrasonics Symposium
Volume3
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 IEEE Ultrasonics Symposium. Part 1 (of 3) - Cannes, Fr
Duration: Nov 1 1994Nov 4 1994

Fingerprint

Dive into the research topics of 'Optimal image operator design technique for coded excitation ultrasound imaging system'. Together they form a unique fingerprint.

Cite this