Enhanced ultrasound strain imaging using chirp-coded pulse excitation

Peng, Hui; Dong, Cheng-Di

doi:10.1016/j.bspc.2012.09.002

Cited by 15 publications

(15 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For one subarray one covariance matrix is calculated. If we have P subarrays of length L, the formula for the averaged covariance matrix will become [5]: (4) where P = M -L + land g p is the ih transducer subarray: (5) with p = 0, I, ... , p -I. The averaging over the all P subarrays is expressed as:…”

Section: Adaptive Beamformingmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive beamforming with coded excitation in ultrasound imaging

Szasz

Vaida

2013

2013 E-Health and Bioengineering Conference (EHB)

View full text Add to dashboard Cite

Nowadays the main problems of ultrasound imaging (USI) are the quality of the image (in terms of signal-to-noise ratio and resolution) and the duration of data acquisition. For solving these challenges, multiple methods were studied during the last decade. It was shown that through the transmission of coded excitation pulses to the ultrasound probe, we can obtain an enhancement of signal-to-noise ratio (SNR). Diff erent methods of beamforming of the back-scattered echoes appeared last years, both in time and spatial domain. These methods improve the lateral resolution. In this paper, we describe an original solution which combines the adaptive beamforming in time domain with the coded excitation. The final ultrasound images will gain in both lateral resolution and SNR.

show abstract

Section: Adaptive Beamformingmentioning

confidence: 99%

“…The use of Golay codes and Hadamard matrices were discussed in terms of increasing the frame rate of image formation. Reference [4] is a recent in-deep study of the chirp excitation for ultrasound strain imaging. The chirp excitation seems to give the best results for improving the SNR of ultrasound images.…”

Section: Introductionmentioning

confidence: 99%

Adaptive beamforming with coded excitation in ultrasound imaging

Szasz

Vaida

2013

2013 E-Health and Bioengineering Conference (EHB)

View full text Add to dashboard Cite

show abstract

“…One of major quality metrics of strain images is elastographic signal-to-noise ratio (SNRe) affected by many factors, such as echo signal-tonoise ratio (eSNR), applied strain, attenuation, etc. Many methods [2][3][4][5][6] were proposed to improve the quality of ulrasound strain imaging.…”

Section: Introductionmentioning

confidence: 99%

“…Jie Liu et al [4] first applied coded excitation to ultrasonic strain imaging. Reference [5] studied the effects of various factors on chirp-coded strain imaging. In this paper, we applied Golay codes to elasticity imaging to improve its quality.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound elasticity imaging using Golay code

Peng

Tie

2017

BIO Web Conf.

Self Cite

View full text Add to dashboard Cite

Abstract. Ultrasound elasticity imaging is becoming a new diagnostic tool for clinicians to detect lesions or cancers in tissues. In this paper, Golay code is applied to elasticity imaging to improve its quality. Phase-zero algorithm is employed as the displacement estimator, and the amplitude modulation correction location estimate method is used as the location estimator. We compared the performance of Golay code and the conventional short pulse in simulation method. The simulation results demonstrate that Golay code can achieve higher elastographic signal-to-noise ratio (SNRe) than the short pulse in low echo signal-to-noise ratio (eSNR) conditions, because the eSNR gain with Golay code increases the accuracy of the displacement estimates. However, in high eSNR conditions, Golay code performs worse than the short pulse, because the range sidelobe level of Golay code will decrease the SNRe and the performance of Golay code depends mainly on its range sidelobe level in high eSNR conditions. Therefore, the optimal conditions for Goaly code to be used in elasticity imaging are the low eSNR, great depth or high attenuation conditions.

show abstract

“…Conventionally in the research literature, while characterizing the performance of the strain images for lesion detectability only CNR e is used as a quality metric and strain images with higher values are regarded as optimal strain image [6], [7]. Although, the strain contrast generated during deformation of the soft tissue results from complex interaction between the elastic profile of the tissue, tumour's shape, size, location, and boundary conditions [8].…”

Section: Introductionmentioning

confidence: 99%

Two-way quality assessment approach for tumour detection using free-hand strain imaging

Hyder

Harput

Alomari

et al. 2014

2014 IEEE International Ultrasonics Symposium

View full text Add to dashboard Cite

Abstract-A novel two-way image quality assessment method is proposed for free-hand strain imaging. In elasticity imaging, tissue with different stiffness exhibit varying contrast in the strain images and detectability of a lesion is measured using elastographic contrast-to-noise ratio (CNRe). Representing quality of strain images quantitatively is vital for improving imaging techniques and also for clinical diagnosis. It avoids the subjective approach of interpreting strain images. Conventionally, contrast between stiff lesion and surrounding soft tissue is measured using contrast-to-noise ratio and strain image with the highest CNRe amplitude is considered an optimal strain image. However experimental results have suggested that merely CNRe metric is often misleading and does not always represent the true elastic modulus contrast as the correlation coefficient falls below an acceptable levels and accuracy is compromised. Therefore in this study, the objective is to propose a comprehensive strain image quality assessment method which is reliable for clinical examinations and research.

show abstract

Enhanced ultrasound strain imaging using chirp-coded pulse excitation

Cited by 15 publications

References 36 publications

Adaptive beamforming with coded excitation in ultrasound imaging

Adaptive beamforming with coded excitation in ultrasound imaging

Ultrasound elasticity imaging using Golay code

Two-way quality assessment approach for tumour detection using free-hand strain imaging

Contact Info

Product

Resources

About