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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 曹建和(Jen-Ho Tsao) | |
dc.contributor.author | Hung-Hsien Wei | en |
dc.contributor.author | 魏宏憲 | zh_TW |
dc.date.accessioned | 2021-05-15T18:01:44Z | - |
dc.date.available | 2015-08-25 | |
dc.date.available | 2021-05-15T18:01:44Z | - |
dc.date.copyright | 2014-08-25 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-20 | |
dc.identifier.citation | [1] L. Hoff. “Acoustic Characterization of Contrast Agents for Medical Ultrasound Imaging”, Kluwer Academic, 2001.
[2] Shih-Tsung Kang, Chang Gung, Ultrasound Microbubble Contrast Agents for Diagnostic and Therapeutic Applications: Current Status and Future Design, Med J Vol. 35 No. 2, March-April 2012. [3] Jon N. Marsh, Frequency and concentration dependence of the backscatter coefficient of the ultrasound contrast agent AlbunexR, J. Acoust. Soc. Am., Vol. 104, No. 3, Pt. 1, September 1998. [4] Jean-Marie Gorce , Influence of Bubble Size Distribution on the Echogenicity of Ultrasound Contrast Agents: A study of Sonovue, Investigative Radiology Volume 35, No. 11, 661–671c2000, Lippincott Williams & Wilkins, Inc. [5] Sebastien Menigot, Optimization of Contrast-to-Tissue Ratio by Frequency Adaptation in Pulse Inversion Imaging, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 59, no. 11, November 2012 [6] N. de Jong, Absorption and scatter of encapsulated gas filled microspheres: theoretical considerations and some measurements, Ultrasonics 1992, Vol. 30 No. 2 [7] H. Medwin, Counting bubbles acoustically: a review, Ultrasonics. January 1977; 15:7–13. [8] Lars Hoff, Oscillations of polymeric microbubbles: Effect of the encapsulating shell, J. Acoust. Soc. Am. 107 (4), April 2000 [9] B.A.J. Angelsen, Simulation of gas bubble scattering for large Mach-numbers, 1999 IEEE Ultrasonics Symposium [10] Francis E. Fox, Gas Bubbles with Organic Skin as Cavitation Nuclei, J. Acoust. Soc. Am. Vol. 26, No.6, November 1954. [11] Charles C. Church, The effects of an elastic solid surface layer on the radial pulsations of gas bubbles, J. Acoust. Soc. Am. 97 (3), March 1995 [12] J. Ophir and K. J. Parker, Contrast agents in diagnostic and ultrasound, Ultrasound Med. Biol., vol.15, no.4, pp.319-333, 1989. [13] Gramiak R, Shah P. M., Echocardiography of the aortic root. , Invest Radiol. 1968 Sep-Oct;3(5):356-66 [14] Jerome M. G. Borsboom, Harmonic Chirp Imaging Method for Ultrasound Contrast Agent, IEEE transactions on Ultrasonics, Ferroelectrics, and Frequency control, vol. 52, no. 2, February 2005 [15] Jerome M. G. Borsboom, Pulse subtraction time delay imaging method for ultrasound contrast agent detection, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 56, no. 6, June 2009 [16] 林志偉, 以多頻近似模型評估超音波對比劑低頻影像之訊雜比, 國立台灣大學電機工程學研究所碩士論文, June 2005 [17] 黃紹榮, 超音波對比劑假象之成因驗證, 國立台灣大學電信工程學研究所碩士論文, June 2000 [18] Peter J. A. Frinking, Ultrasound Contrast Imaging: Current and New Potential Methods, Ultrasound in Med. & Biol., Vol. 26, No. 6, pp. 965–975, 2000 [19] M.E. Anderson, A 2D nonlinear wave propagation solver written in open-source MATLAB code, 2000 IEEE Ultrasonics Symposium, pp.1351-1354 [20] Matthew Bruce, Vascular flow and perfusion imaging with ultrasound contrast agents, Ultrasound in Med. & Biol., Vol. 30, No. 6, pp. 735–743, 2004 [21] Lord Rayleigh O.M. F.R.S., On the pressure developed in a liquid during the collapse of a spherical cavity, Philosophical Magazine Series 6, 34:200, 94-98 [22] Milton S. Plesset, Bubble dynamics and cavitation, Ann. Rev. Fluid Mech. 1977.9 :145-185 [23] Karen E. Morgan, Experimental and Theoretical Evaluation of Microbubble Behavior: Effect of Transmitted Phase and Bubble Size, IEEE Transactions on Ultrasonics, Nov. 2000 [24] Ming-Huang Chen and Jenho Tsao, Optimal Transmission Frequency Selection Base on Scattering Cross Section for Ultrasound Contrast Harmonic Imaging, International Conference on Biomedical Engineering and Biotechnology, 2012 [25] Duncan Alexander Sutherland, Models of Ultrasound Contrast Agents, B.S. essay of Applied Mathematics University of Sydney, October 2008 [26] Riccardo Leonardi, Scattering of a distribution of encapsulated gas bubbles, a computer model, Technical Acoustics 2005 [27] Rubens A. Sigelmann and John M. Reid, Analysis and measurement of ultrasound backscattering from an ensemble of scatterers excited by sine-wave bursts, The Journal of the Acoustical society of America, Vol.53, No.5, pp.1352-1355, 1973 [28] Larry Y. L. MO and Richard S. C. Cobbold, A Unified Approach to Modeling the Backscattered Doppler Ultrasound from Blood, IEEE Transactions on Biomedical Engineering, Vol. 39, No. May 1992 [29] L.D. Landau and E.M. Lifshitz, Fluid Mechanics 3rd English edition, Course of Theoretical Physics, Vol. 6 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5527 | - |
dc.description.abstract | 這個研究主要的目標是能夠透過完整的理論和模擬,藉由一個可適性的控制系統改變其發射訊號頻率,而這個最佳頻率能夠得到最佳的對比劑-組織對比度。
在選擇最佳頻率的過程中,微氣泡的大小分佈會是影響最佳頻率的關鍵因素,先前的研究多半使用單氣泡進行模擬,但是在實際情況中微氣泡必定為群聚的,且是相當大的數量級,不能使用單一氣泡的共振頻來直接求得最佳頻率。 因此本篇從多氣泡的背散射係數的理想最佳頻率驗證模擬的最佳頻率估測,針對固定殼層特性的微氣泡,從線性震盪理論分析最佳頻率範圍,說明探頭、組織、氣泡流動會對功率造成的影響,並模擬非線性震盪,利用掃頻方式求出最佳頻率。 探頭的中心頻率和頻寬必須配合組織衰減和氣泡大小分佈做適當的選擇,否則會因為功率衰減過高,無法求出最佳頻率。而氣泡流動速度快時,必須使用多個訊號平均才能達到收斂的效果,平均數量則取決於對比劑汰換率。利用掃頻方式預估最佳頻率範圍時,仍需氣泡半徑大小分佈的資訊,進行最佳頻率的估測,發射訊號則需利用窄頻訊號的結果會較接近理想值。 在氣泡汰換率不高(小於20%)的情況下,能夠以梯度下降演算法求出功率極值,並得到此時的發射頻率,即定義的最佳頻率,求出之背散射功率可高於探頭中心頻7dB的效果。 | zh_TW |
dc.description.abstract | The main goal of this study is that through a complete theory, simulate with adaptive control of transmission signal frequency which can approach to best CTR(Contrast-to-Tissue Ratio).In the progressing of optimal frequency, the microbubble size distribution will be one key factor affecting the optimal frequency; most of previous study using one- bubble simulation, which is not practical. By adding microbubble distribution model into consideration, we can acquire the optimal frequency more precisely.
Using fixed shell properties microbubbles analysis optimal frequency range from linear oscillation theory, illustrate the probe, tissue, and bubbles stochastic effects on the received PSD, and use the nonlinear oscillation simulation, with different emission signal frequency to find the optimal frequency. Transducer’s center frequency and bandwidth should be choose to matched with tissue attenuation along with bubble size distribution, otherwise the optimal frequency will be meaningless because of high power loss. Considering bubble flow velocity, solution need to be derived from average reference traces, and the numbers depends on the bubble changing rate. Using the signal frequency sweep estimate the optimal frequency range, still need to radius of bubble size distribution of information, and the result will be more close to the ideal value if emission signal using the narrowband signal. In the situation of low bubble replace rate (lower than 20%), the maximum power and optimal frequency can be obtained with gradient decent algorithm, and the result backscatter power is 7dB higher than obtained power in transducer central frequency. | en |
dc.description.provenance | Made available in DSpace on 2021-05-15T18:01:44Z (GMT). No. of bitstreams: 1 ntu-103-R01942098-1.pdf: 1538628 bytes, checksum: dac4bb3594e2b96da915d2fe8e98208e (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書 ii
誌謝 iii 中文摘要 iv ABSTRACT v CONTENTS vi LIST OF FIGURES ix LIST OF TABLES xi Chapter 1 緒論 1 1.1 超音波對比劑成像簡介 1 1.1.1 超音波對比劑成像簡介 1 1.1.2 使用對比劑成像的功效分析 2 1.2 研究動機 2 1.2.1 最佳發射頻率定義 2 1.2.2 獲得最佳發射頻率問題描述 3 1.3 論文架構 4 Chapter 2 對比劑背散射理論 5 2.1 對比劑殼層特性討論 5 2.1.1 共振頻與氣泡殼層關係 6 2.2 背散射截面積與功率 7 2.2.1 對比劑的背散射簡介 7 2.2.2 共振頻與衰減係數 8 2.2.3 背散射係數估測與問題 8 2.3 背散射截面積與氣泡半徑關係 9 2.3.1 由線性震盪推導之背散射截面積 9 2.3.2 單一氣泡背散射截面積的比較 11 2.3.3 背散射係數求得最佳頻率 11 Chapter 3 背散射功率頻譜討論與問題 14 3.1 系統訊號流程 14 3.1.1 發射訊號 14 3.1.2 探頭響應及頻寬影響 15 3.1.3 路徑衰減:水槽->組織 18 3.2 單氣泡背散射聲壓非線性推導 20 3.2.1 殼層影響-內外應力差 21 3.2.2 殼層影響-黏滯性效應 22 3.2.3 在氣泡牆上的聲壓 23 3.3 單一氣泡模擬功率頻譜 24 3.3.1 不同氣泡半徑比較 24 3.3.2 不同發射頻率比較 25 3.4 群體氣泡的背散射訊號頻譜比較 26 Chapter 4 氣泡隨機性質與頻率選擇 30 4.1 流動群體微氣泡模型 30 4.1.1 不同半徑微氣泡的隨機時間延遲相加 30 4.1.2 微氣泡流動性對功率頻譜影響 32 4.2 用理想最佳頻率估測值驗證掃頻結果 37 4.2.1 最佳頻率驗證模擬統計 38 4.3 使用迭代法求最佳發射頻率 39 4.3.1 迭代法簡介 39 4.3.2 迴授式系統及梯度下降法 40 4.3.3 結果 41 Chapter 5 結論與附錄 44 5.1 結論 44 5.2 附錄 45 5.2.1 測量探頭頻率響應 45 參考文獻 48 | |
dc.language.iso | zh-TW | |
dc.title | 超音波對比劑成像之最佳發射頻率選擇 | zh_TW |
dc.title | Optimal Transmitted Frequency Selection in Ultrasound Contrast Imaging | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 曹勝凱(Sheng-Kai Tsao),羅孟宗(Men-Tzung Lo) | |
dc.subject.keyword | 對比劑成像,最佳頻率,微氣泡大小分佈, | zh_TW |
dc.subject.keyword | ultrasound contrast imaging,optimal frequency,bubbles size distribution, | en |
dc.relation.page | 50 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2014-08-20 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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