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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹建和 | |
dc.contributor.author | Chih-Wei Lin | en |
dc.contributor.author | 林志偉 | zh_TW |
dc.date.accessioned | 2021-06-13T07:09:30Z | - |
dc.date.available | 2006-07-29 | |
dc.date.copyright | 2005-07-29 | |
dc.date.issued | 2005 | |
dc.date.submitted | 2005-07-26 | |
dc.identifier.citation | [1]醫學影像物理學/莊克士(清大原科系)/合記圖書/1998
[2]B.B. Goldberg,”The Beginnings of Ultrasound Contrast”, Ultrasound Contrast Agents, p1-8, 1997 [3] Gramiak R. Shah PM. Kramer DH, “Ultrasound Cardiography Contrast Studies in Anatomy and Function”, Radiology 92, 939-948, 1969 [4]周定遠,”超音波對比劑簡介”,中華民國超音波學會 [5]呂適任,”適於超音波藥物傳輸系統使用之微脂粒的製備與驗證”,國立台灣大學電機工程學研究所九十二年碩士論文 [5]M.Blomley,”Clutter reduction using harmonic power angio with Levovist helps in assessment of liver metastases.”,medicamundi,vol.42,3,11,1998 [6]N.de Jong, R.Cornet and C.T. Lancee,”Higher harmonics of vibrating gas-filled microspheres.Part one: simulations”,Ultrasonics, vol.32,no.6, p447-453, 1994 [7]F. Forsberg, ”Physics of Ultrasound Contrast Agents”, Ultrasound Contrast Agents, p9-20, 1997 [8] P.M Morse and K.V. Ingard, “Theoretical acoustics”, New York McGraw Hill Inc, 1968 [9]H. Medwin, “Counting bubbles acoustically: a review”, Ultrasonics, 1997,5,p7-13 [10]de Jong N, “Improvements in Ultrasound Contrast Agents”, IEEE Engineering in Medicine and Biology, p72-82, 1996 [11]F. Forsberg, W.T. Shi, B.B. Goldberg, ”Subharmonic imaging of contrast agents”, Ultrasonics, p93-98, 2000 [12]Prosperetti. A, “Nonlinear Oscillations of Gas Bubble in Liquids: Transient Solutions and The Connection between Subharmonic Signal and Cavitation”, J. Acoust. Soc. Am.57(4), p810-821, 1997 [13]V.L Newouse and P. Mohana Shankar, ”Bubble size measurements using the nonlinear mixing of two frequencies”, J.Acoust.Soc.Am. 75(5),p1473-1477, 1984 [14]Chung-You Wu and Jenho Tsao, ”The ultrasonic weak short-pulse responses of microbubbles based on a two-frequency approximation”, J.Acoust.Soc. Am, 114(5), p1-10,2003 [15]劉恆賓,”短脈衝波之頻寬對微氣泡的低頻成分響應與次諧振響應:使用兩種頻率的近似”; 國立臺灣大學電信工程硏究所九十三年碩士論文 [16][1]Kremkau F.W., Kaufmann J.S., Walke M.M., Burch P.G. and Spur C.I., “Ultrasonic enhancement of nitrogen mustard cytotoxicity in mouse leukemia”, Cancer,37,p1643-1647, 1976 [17][2]邱柏霖,”超音波控制的微脂粒空蝕之藥物遞送系統及技術需求”,國立台灣大學電機工程學研究所九十年碩士論文 [18]P D Krishna, P M Shankar and V L Newhouse, “Subharmonic generation from ultrasonic contrast agents”, Phys.Med.Biol.44.p681-694,1999] [19]http://www.vard.org/jour/00/37/4/wangap.htm | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/35775 | - |
dc.description.abstract | 微氣泡的低頻反應是最近才開始被研究,在頻譜上可以觀察到低頻反應的中心頻率是低於基頻反應(fundamental response)與次諧振反應(subharmonic response),為並以此低頻反應為基礎運用於成像上,可以得到很好的微氣泡與組織的信雜比(SIR)。
目前在理論上有雙頻近似模型可以預估微氣泡低頻反應的頻寬,但是卻無法描述完整連續的頻譜並推估重疊的程度。因此,推展了多頻近似模型(Multi-Frequency Approximation Model)從頻譜的角度來描述微氣泡的低頻反應和基頻反應的頻譜,並藉以得到理論上的微氣泡與組織的信雜比。 在本研究中先以電腦模擬並運用多頻近似模型,配合不同的頻寬、不同的微氣泡半徑分佈與參數設定,得到模擬總微氣泡反應的頻譜,可以觀察到不同的微氣泡半徑分佈及頻寬對於頻譜及SIR的影響。再以實驗將模擬人體的仿體及水管內的微氣泡分佈取得低頻反應的影像來驗證,SIR大致會隨著頻寬增大而變差,並可以多頻近似模型做為濾波器設計、觀察微氣泡半徑分佈影響等的選擇。 | zh_TW |
dc.description.abstract | Low-frequency response of microbubbles was found recently, the center frequency of low-frequency response was lower than ones of fundamental and subharmonic response. Based on the low-frequency response, good SIR could be made.
Two-frequency approximation might evaluate the bandwidth of spectrum but could not describe the continuous spectrum of response and the extent of overlap. Hence, the multi-frequency approximation model was developed to evaluate the signal-to-interference ratio and to describe the continuous spectrum of fundamental and low-frequency response. Computer simulations were performed toinvestigate the spectrum of microbubbles and the bandwidth of signal. Experiments on phantoms could make imaging by low-frequency response and got a SIR from ROI. SIR almost were worse when bandwidth was larger. Multi-frequency approximation model could provide a new technique to evaluate the filter and the influence of bubble distributions. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T07:09:30Z (GMT). No. of bitstreams: 1 ntu-94-R92921048-1.pdf: 740103 bytes, checksum: cdb8d245f480a0b7e5f9bcfa39b1d7f7 (MD5) Previous issue date: 2005 | en |
dc.description.tableofcontents | 第一章 緒論 1
1.1 傳統的超音波成像系統 1 1.2 超音波對比劑 3 1.3 微氣泡的物理特性 5 1.4 超音波對比劑成像 8 1.5 低頻超音波對比劑成像 11 1.6 藥物遞送系統 13 1.7 研究動機 15 1.8 論文架構 16 第二章 低頻影像技術 17 2.1 RPNNP方程式與基於雙頻近似之解析解 17 2.2 低頻反應與雙頻近似模型 21 2.2.1 Fundamental Response 23 2.2.2 Composite Second-Harmonic Response 26 2.2.3 Low-Frequency Response 26 2.3 多頻近似模型 28 2.3.1 Fundamental Response 29 2.3.2 Composite Second-Harmonic Response 30 2.3.3 Low-Frequency Response 31 第三章 模擬方法與結果 32 3.1 模擬流程與參數 33 3.1.1 模擬流程 33 3.1.2 參數 34 3.1.3 半徑與共振頻率 35 3.1.4 微氣泡半徑大小的分佈 37 3.1.5 設計發射波形 38 3.1.6 多頻近似模型 40 3.1.7 內插法補點與取樣頻率 40 3.1.8 衰減 42 3.1.9 探頭頻率響應 44 3-2 模擬結果 52 第四章 實驗方法與結果 54 4.1 實驗設置 54 4.2 仿體 54 4.3 微氣泡 56 4.4 實驗結果 57 4.5 實驗影像與SIR 60 第五章 分析與討論 66 5.1 氣泡半徑分佈 66 5.2 SIR 67 5.3 衰減 69 5.4 多頻近似模型 70 第六章 結論與未來工作 71 6.1 結論 71 6.2 未來工作 73 參考文獻 75 | |
dc.language.iso | zh-TW | |
dc.title | 以多頻近似模型評估超音波對比劑低頻影像之訊雜比 | zh_TW |
dc.title | Estimation for SIR of Low-Frequency Imaging Based on Multi-Frequency Approximation | en |
dc.type | Thesis | |
dc.date.schoolyear | 93-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 鄭建華,郭益源 | |
dc.subject.keyword | 超音波,微氣泡,影像,模擬, | zh_TW |
dc.subject.keyword | ultrasound,imaging,microbubbles,simulation, | en |
dc.relation.page | 76 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2005-07-27 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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