1
|
Ali R, Brevett T, Zhuang L, Bendjador H, Podkowa AS, Hsieh SS, Simson W, Sanabria SJ, Herickhoff CD, Dahl JJ. Aberration correction in diagnostic ultrasound: A review of the prior field and current directions. Z Med Phys 2023; 33:267-291. [PMID: 36849295 PMCID: PMC10517407 DOI: 10.1016/j.zemedi.2023.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 12/17/2022] [Accepted: 01/09/2023] [Indexed: 02/27/2023]
Abstract
Medical ultrasound images are reconstructed with simplifying assumptions on wave propagation, with one of the most prominent assumptions being that the imaging medium is composed of a constant sound speed. When the assumption of a constant sound speed are violated, which is true in most in vivoor clinical imaging scenarios, distortion of the transmitted and received ultrasound wavefronts appear and degrade the image quality. This distortion is known as aberration, and the techniques used to correct for the distortion are known as aberration correction techniques. Several models have been proposed to understand and correct for aberration. In this review paper, aberration and aberration correction are explored from the early models and correction techniques, including the near-field phase screen model and its associated correction techniques such as nearest-neighbor cross-correlation, to more recent models and correction techniques that incorporate spatially varying aberration and diffractive effects, such as models and techniques that rely on the estimation of the sound speed distribution in the imaging medium. In addition to historical models, future directions of ultrasound aberration correction are proposed.
Collapse
Affiliation(s)
- Rehman Ali
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Thurston Brevett
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Louise Zhuang
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | - Hanna Bendjador
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony S Podkowa
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Scott S Hsieh
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Walter Simson
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sergio J Sanabria
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; University of Deusto/ Ikerbasque Basque Foundation for Science, Bilbao, Spain
| | - Carl D Herickhoff
- Department of Biomedical Engineering, University of Memphis, TN, USA
| | - Jeremy J Dahl
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|