Resolution enhancement method of ultrasonic biological measurement based on auto-regression model(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第1期
- Page:
- 89-95
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Resolution enhancement method of ultrasonic biological measurement based on auto-regression model
- Author(s):
- ZHANG Yingjuan; ZHENG Zheng
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Keywords:
- ; Keywords: biological measurement; envelope; resolution; singular value decomposition; auto-regressive; power spectrum
- PACS:
- R318.04
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.01.016
- Abstract:
- Abstract: In the field of ultrasonic biological measurement, the lengths of the eyeball structure of various parts were usually measured by determining the time of flight with envelop detection method, however, the resolution of the conventional envelop method is limited by the ultrasonic frequency and the instruments. Here, super-resolution algorithm based on auto-regression (AR) model was applied to A-type ultrasound for overcoming the limitations and achieving the enhancement of ultrasonic resolution. Based on the domain transformation, the model order obtained from singular value decomposition was used in the AR model, which was combined with the power spectrum estimation to process the ultrasonic signals, thus obtaining the ultrasonic signals with enhanced resolution. We carried out experiments under the conditions of 25, 5 dB simulated echo and 30 dB layer target echo, respectively, and compared the resolution of envelop method and the proposed method to verify the feasibility of the proposed method. The results showed that, under three different conditions, the resolutions of AR-based method were 0.060, 0.090 and 0.075 mm, respectively, which were increased by 1.0, 0.5 and 0.8 times as comparison with the resolutions of envelop method (0.120, 0.135 and 0.135 mm, respectively). The comparison in the measurement of eyeball actual echo confirmed that AR-based algorithm has a higher resolution and more accurate measurement than envelop method. The proposed AR-based method is effective and has potential for the application in A-model biological measurement.
Last Update: 2018-01-25