Implementation of the near-field signal redundancy phase-aberration correction algorithm on two-dimensional arrays

• Published in: IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 54; no. 1; pp. 42 - 51
• Main Authors: Yue Li, Robinson, B.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aberration; Acoustics; Algorithm design and analysis; Algorithms; Ambiguity; Analytical models; Arrays; Biomedical imaging; Computer simulation; Exact sciences and technology; Ferroelectric materials; Fundamental areas of phenomenology (including applications); General equipment and techniques; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; In vivo; Information Storage and Retrieval - methods; Instruments, apparatus, components and techniques common to several branches of physics and astronomy; Performance analysis; Phantoms, Imaging; Phase measurement; Phased arrays; Physics; Redundancy; Reproducibility of Results; Sensitivity and Specificity; Studies; Testing; Transducers; Two dimensional; Ultrasonic imaging; Ultrasonics, quantum acoustics, and physical effects of sound; Ultrasonography - instrumentation; Ultrasonography - methods; Near field; Column; Phased array; Acoustic antenna; Two phase medium; Plane antenna; Phase distortion
• ISSN: 0885-3010; 1525-8955
• DOI: 10.1109/TUFFC.2007.210

Near-field signal-redundancy (NFSR) algorithms for phase-aberration correction have been proposed and experimentally tested for linear and phased one-dimensional arrays. In this paper the performance of an all-row-plus-two-column, two-dimensional algorithm has been analyzed and tested with simulated data sets. This algorithm applies the NFSR algorithm for one-dimensional arrays to all the rows as well as the first and last columns of the array. The results from the two column measurements are used to derive a linear term for each row measurement result. These linear terms then are incorporated into the row results to obtain a two-dimensional phase aberration profile. The ambiguity phase aberration profile, which is the difference between the true and the derived phase aberration profiles, of this algorithm is not linear. Two methods, a trial-and-error method and a diagonal-measurement method, are proposed to linearize the ambiguity profile. The performance of these algorithms is analyzed and tested with simulated data sets.