Improved Attenuation Estimation of Ultrasonic Signals Using Frequency Compounding Method
- Authors
- Kim, Hyungsuk; Shim, Jaeyoon; Heo, Seo Weon
- Issue Date
- Jan-2018
- Publisher
- KOREAN INST ELECTR ENG
- Keywords
- Ultrasound; Attenuation; Frequency compounding; Reference phantom method; Quantitative ultrasound
- Citation
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.13, no.1, pp.430 - 437
- Journal Title
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
- Volume
- 13
- Number
- 1
- Start Page
- 430
- End Page
- 437
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4122
- DOI
- 10.5370/JEET.2018.13.1.430
- ISSN
- 1975-0102
- Abstract
- Ultrasonic attenuation is an important parameter in Quantitative Ultrasound and many algorithms have been proposed to improve estimation accuracy and repeatability for multiple independent estimates. In this work, we propose an improved algorithm for estimating ultrasonic attenuation utilizing the optimal frequency compounding technique based on stochastic noise model. We formulate mathematical compounding equations in the AWGN channel model and solve optimization problems to maximize the signal-to-noise ratio for multiple frequency components. Individual estimates are calculated by the reference phantom method which provides very stable results in uniformly attenuating regions. We also propose the guideline to select frequency ranges of reflected RF signals. Simulation results using numerical phantoms show that the proposed optimal frequency compounding method provides improved accuracy while minimizing estimation bias. The estimation variance is reduced by only 16% for the un-compounding case, whereas it is reduced by 68% for the uniformly compounding case. The frequency range corresponding to the half-power for reflected signals also provides robust and efficient estimation performance.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/4122)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.