
系統識別號 
U00260408201516151400 
論文名稱(中文) 
發展啾聲編碼激發之超音波彈性成像系統以評估軟組織生物力學特性 
論文名稱(英文) 
Development of Ultrasound Elasticity Imaging System with ChirpCoded Excitation for Assessing Biomechanical Properties of Soft Tissue 
校院名稱 
成功大學 
系所名稱(中) 
生物醫學工程學系 
系所名稱(英) 
Department of BioMedical Engineering 
學年度 
103 
學期 
2 
出版年 
104 
研究生(中文) 
江幸容 
研究生(英文) 
HsingJung Chiang 
學號 
P86024093 
學位類別 
碩士 
語文別 
英文 
論文頁數 
63頁 
口試委員 
指導教授陳天送 口試委員陳培展 口試委員杜翌群 口試委員林家宏 口試委員黃執中

中文關鍵字 
超音波彈性成像
啾聲編碼脈衝
互相關
絕對值差

英文關鍵字 
Elastogrpahy
Chirpcoded pulse
CrossCorrelation
Absolute difference

學科別分類 

中文摘要 
軟組織於生物力學上的軟硬性質之改變通常與其病理上之變化有關，而超音波彈性影像可用非侵入的方式量測軟組織局部的生物力學特性，因此可於臨床上評估軟組織的病變。然而，軟組織對超音波能量之衰減會降低超音波訊號之訊雜比，因而影響超音波彈性影像之品質。為提升影像的品質，可藉由編碼脈衝激發訊號增加超音波的平均功率以提升訊雜比與穿透深度，同時可配合適當之濾波器以維持一定水準之超音波軸向解析度。本研究發展啾聲編碼脈衝激發之超音波彈性成像系統，探討高斯(Gaussian)及塔基(Tukey)窗函數的啾聲編碼訊號與短脈衝對彈性影像品質之影響。本系統採用7.5 MHz單陣元探頭結合壓縮板的方式量測軟組織之彈性，並使用荷重元量測壓縮板下壓力量。軟組織的應變估計分別採用傳統的互相關(crosscorrealstion)演算法與絕對值差(absolution difference)演算法。此兩種演算法用於啾聲編碼脈衝激發之超音波彈性成像系統，所需的最佳參數是由量測均質假體之彈性影像的訊雜比進行評估，分別以互相關演算法與絕對值差演算法之最佳參數，用來估計啾聲編碼脈衝與短脈衝所量測對比彈性假體(背景13.27kPa，中心26.86kPa)之彈性影像品質，以楊氏係數之準確度與彈性影像對比度為評估指標。實驗結果顯示，短脈衝量測均質假體時，彈性影像的訊雜比值為11dB，而以20個週期之塔基窗函數的啾聲編碼脈衝量測均質假體時，彈性影像有較佳的訊雜比(互相關演算法為15dB；絕對值差演算法為13dB)。以啾聲編碼脈衝量測假體的彈性影像對比度較短脈衝量測的結果高4.1dB。另外，互相關演算法與絕對值差演算法評估以啾聲編碼脈衝量測中心26.86kPa之對比假體的楊氏係數，其結果分別為25.52 kPa與22.72 kPa。由實驗結果可知塔基窗函數的啾聲編碼脈衝結合互相關演算法，可得到品質較好且準確的彈性影像。

英文摘要 
Changes in the biomechanical properties of soft tissues generally correlates with the pathological phenomenon. Ultrasound elasticity imaging, which is a noninvasive method, can be used to measure the local biomechanical properties of soft tissue that can be used to assess the pathological changes of soft tissue in clinical diagnosis. However, the echo signal to noise ratio (eSNR) was diminished due to the attenuation of ultrasonic energy by soft tissues that reduces the quality of elastography. To improve the quality of elastography, the eSNR and penetrating depth of ultrasound can be increased by the average power of ultrasound which is generated using chirpcoded excitation. Moreover, the low axial resolution of ultrasound generated by chirpcoded pulse can be increased using a proper compression filter. Therefore, the main goal of this study is to develop ultrasound elasticity imaging system with chirpcoded excitation for assessing biomechanical properties of soft tissue. Furthermore, the effects of chirpcoded excitation modulated by a Gaussian window and a Tukey window, respectively, and short pulse excitation upon the qualities of elastography were discussed. The ultrasound elasticity imaging system equipped with a 7.5 MHz single element transducer and polymethylpentene compression plate to measure the strain of soft tissue, and the compression force on soft tissue was measured by load cell. The strain information of soft tissue was analyzed using crosscorrelation (CC) algorithm and absolution difference (AD) algorithm. The optimal parameters of CC and AD algorithms used for the ultrasound elasticity imaging system with chirpcoded excitation were analyzed by measuring the signaltonoise ratio on the elastogram (SNRe) of homogeneous phantom. Moreover, the ultrasound elasticity imaging system with chirpcoded excitation and short pulse excitation were used to measure the elastically phantom (Young’s modulus of background materials and cylindrical inclusion were 13.27 and 26.86kPa, respectively). Qualities of elastography for the elastically phantom were assessed by the accuracy of Young’s modulus and elastographic contrasttonoise ratio (CNRe). The experimental results shows that the SNRe of elastography measured by short pulsed ultrasound was 11dB. As the homogenous phantom was measured by 20 cycles chirpcoded ultrasound modulated by a Tukey window, the SNRe of elastography (CC algorithm: 15dB, AD algorithm: 13dB) is better than that measured by short pulsed ultrasound. The CNRe in elastography, which was imaged using chirpcoded pulse, can be improved 4.1dB compared with that imaged using short pulse. In addition, the Young’s modulus of cylindrical inclusion analyzed using CC algorithm was 25.52 kPa, and that analyzed using AD algorithm was 22.72 kPa. These results demonstrated that the ultrasound elasticity imaging system with chirpcoded excitation modulated by a Tukey window could acquire the high quality and high accuracy elastography.

論文目次 
摘要 III
Abstract IV
誌謝 VI
Contents VII
List of Figures X
List of Tables XIV
Chapter 1. Introduction 1
1.1 Ultrasound Elastography 1
1.1.1 Compression Ultrasound Elastography 1
1.1.2 Acoustic Radiation Force Impulse (ARFI) Technique 3
1.1.3 Shear Wave Elastography 4
1.2 Coded Pulse Excitation for Ultrasound Elastography 6
1.2.1 Chirpcoded Pulse Excitation 9
1.3 Literature Review 11
1.4 Motivation and Aim 16
Chapter 2. Materials and Methods 17
2.1 System Architecture 17
2.1.1 Transducer 19
2.1.2 Chirp Pulse 20
2.1.3 Load Cell 24
2.1.4 Compression Plate 27
2.1.5 Tissuemimicking Phantom 30
2.2 Experiment Procedures 31
2.2.1 Measurement Methods 31
2.2.2 Signal Processor 32
2.2.3 Quality Metrics 39
Chapter 3. Results and Discussion 41
3.1 StrainStress Curve 41
3.2 Optimal Parameters of Algorithm in Elastography 43
3.2.1 Effect in Terms of Pulse Length 43
3.2.2 Effect in Terms of Applied Strain 44
3.2.3 Effect in Terms of Correlation Window Length 45
3.2.4 CNRe 46
3.2.5 Correlation Window Length 47
3.2.6 Differential Strain 50
3.2.7 Lateral Resolution 52
3.3 Young’s Modulus 53
3.4 Discussion 54
Chapter 4. Conclusion 58
References 59

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