請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87519完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉浩澧 | zh_TW |
| dc.contributor.advisor | Hao-Li Liu | en |
| dc.contributor.author | 趙天易 | zh_TW |
| dc.contributor.author | Tian-Yi Chao | en |
| dc.date.accessioned | 2023-06-14T16:07:21Z | - |
| dc.date.available | 2026-02-08 | - |
| dc.date.copyright | 2023-06-14 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-02-10 | - |
| dc.identifier.citation | [1] Young-sun Kim, Hyunchul Rhim, Min Joo Choi, Hyo Keun Lim, and Dongil Choi. High-intensity focused ultrasound therapy: an overview for radiologists. Korean journal of radiology, 9(4):291–302, 2008.
[2] Urvi Vyas and Douglas Christensen. Ultrasound beam simulations in inhomogeneous tissue geometries using the hybrid angular spectrum method. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 59(6):1093–1100, 2012. [3] Juanjuan Gu and Yun Jing. Numerical modeling of ultrasound propagation in weakly heterogeneous media using a mixed-domain method. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 65(7):1258–1267, 2018. [4] Can Barış Top. A generalized split-step angular spectrum method for efficient simulation of wave propagation in heterogeneous media. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68(8):2687–2696, 2021. [5] Scott Schoen, Pradosh Dash, and Costas D Arvanitis. Experimental demonstration of trans-skull volumetric passive acoustic mapping with the heterogeneous angular spectrum approach. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(2):534–542, 2021. [6] James E Kennedy. High-intensity focused ultrasound in the treatment of solid tumours. Nature reviews cancer, 5(4):321–327, 2005. [7] Ernst Martin, Daniel Jeanmonod, Anne Morel, Eyal Zadicario, and Beat Werner. High-intensity focused ultrasound for noninvasive functional neurosurgery. Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society, 66(6):858–861, 2009. [8] W Jeffrey Elias, Diane Huss, Tiffini Voss, Johanna Loomba, Mohamad Khaled, Eyal Zadicario, Robert C Frysinger, Scott A Sperling, Scott Wylie, Stephen J Monteith, et al. A pilot study of focused ultrasound thalamotomy for essential tremor. New England Journal of Medicine, 369(7):640–648, 2013. [9] Shayan Moosa, Raul Martínez-Fernández, W Jeffrey Elias, Marta Del Alamo, Howard M Eisenberg, and Paul S Fishman. The role of high-intensity focused ultrasound as a symptomatic treatment for parkinson’s disease. Movement Disorders, 34(9):1243–1251, 2019. [10] Nir Lipsman, Ying Meng, Allison J Bethune, Yuexi Huang, Benjamin Lam, Mario Masellis, Nathan Herrmann, Chinthaka Heyn, Isabelle Aubert, Alexandre Boutet, et al. Blood–brain barrier opening in alzheimer's disease using mr-guided focused ultrasound. Nature communications, 9(1):1–8, 2018. [11] Alexandre Carpentier, Michael Canney, Alexandre Vignot, Vincent Reina, Kevin Beccaria, Catherine Horodyckid, Carine Karachi, Delphine Leclercq, Cyril Lafon, Jean-Yves Chapelon, et al. Clinical trial of blood-brain barrier disruption by pulsed ultrasound. Science translational medicine, 8(343):343re2–343re2, 2016. [12] Agessandro Abrahao, Ying Meng, Maheleth Llinas, Yuexi Huang, Clement Hamani, Todd Mainprize, Isabelle Aubert, Chinthaka Heyn, Sandra E Black, Kullervo Hynynen, et al. First-in-human trial of blood–brain barrier opening in amyotrophic lateral sclerosis using mr-guided focused ultrasound. Nature communications, 10(1):1–9, 2019. [13] Hui Zhou, Lili Niu, Xiangxiang Xia, Zhengrong Lin, Xiufang Liu, Min Su, Ruibiao Guo, Long Meng, and Hairong Zheng. Wearable ultrasound improves motor function in an mptp mouse model of parkinson’s disease. IEEE Transactions on Biomedical Engineering, 66(11):3006–3013, 2019. [14] Daqu Zhang, Hangdao Li, Junfeng Sun, Weiwei Hu, Wen Jin, Shengtian Li, and Shanbao Tong. Antidepressant-like effect of low-intensity transcranial ultrasound stimulation. IEEE Transactions on Biomedical Engineering, 66(2):411–420, 2018. [15] Xin Li, Huifang Yang, Jiaqing Yan, Xingran Wang, Yi Yuan, and Xiaoli Li. Seizure control by low-intensity ultrasound in mice with temporal lobe epilepsy. Epilepsy Research, 154:1–7, 2019. [16] Andrei V Alexandrov, Carlos A Molina, James C Grotta, Zsolt Garami, Shiela R Ford, Jose Alvarez-Sabin, Joan Montaner, Maher Saqqur, Andrew M Demchuk, Lemuel A Moyé, et al. Ultrasound-enhanced systemic thrombolysis for acute ischemic stroke. New England Journal of Medicine, 351(21):2170–2178, 2004. [17] Kenneth B Ocheltree and LA Frizzel. Sound field calculation for rectangular sources. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 36(2):242– 248, 1989. [18] Chankil Lee and Paul J Benkeser. Computationally efficient sound field calculations for a circular array transducer. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 39(1):43–47, 1992. [19] Jørgen Arendt Jensen and Niels Bruun Svendsen. Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 39(2):262–267, 1992. [20] Ibrahim M Hallaj and Robin O Cleveland. Fdtd simulation of finite-amplitude pressure and temperature fields for biomedical ultrasound. The Journal of the Acoustical Society of America, 105(5):L7–L12, 1999. [21] Athanasios Karamalis, Wolfgang Wein, and Nassir Navab. Fast ultrasound image simulation using the westervelt equation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 243–250. Springer, 2010. [22] Kjell-Eivind Fro/ysa, Jacqueline Naze Tjo/tta, and Sigve Tjo/tta. Linear propagation of a pulsed sound beam from a plane or focusing source. The Journal of the Acoustical Society of America, 93(1):80–92, 1993. [23] J Huijssen, A Bouakaz, MD Verweij, and N De Jong. Simulations of the nonlinear acoustic pressure field without using the parabolic approximation. In IEEE Symposium on Ultrasonics, 2003, volume 2, pages 1851–1854. IEEE, 2003. [24] Jørgen Arendt Jensen. Field: A program for simulating ultrasound systems. In 10TH NORDICBALTIC CONFERENCE ON BIOMEDICAL IMAGING, VOL. 4, SUPPLEMENT 1, PART 1: 351–353. Citeseer, 1996. [25] Jørgen Arendt Jensen. A multi-threaded version of field ii. In 2014 IEEE International Ultrasonics Symposium, pages 2229–2232. IEEE, 2014. [26] Robin O Cleveland, Mark F Hamilton, and David T Blackstock. Time-domain modeling of finite-amplitude sound in relaxing fluids. The Journal of the Acoustical Society of America, 99(6):3312–3318, 1996. [27] DF Gaitan, LA Crum, MF Hamilton, and DT Blackstock. Frontiers of nonlinear acoustics. In 12th ISNA, pages 459–463, 1990. [28] Robert J McGough. Rapid calculations of time-harmonic nearfield pressures produced by rectangular pistons. The Journal of the Acoustical Society of America, 115(5):1934–1941, 2004. [29] EJ Alles, Y Zhu, KWA Van Dongen, and RJ McGough. Rapid transient pressure field computations in the nearfield of circular transducers using frequency-domain time-space decomposition. Ultrasonic imaging, 34(4):237–260, 2012. [30] Emmanuel Bossy, Maryline Talmant, and Pascal Laugier. Three-dimensional simulations of ultrasonic axial transmission velocity measurement on cortical bone models. The Journal of the Acoustical Society of America, 115(5):2314–2324, 2004. [31] Joshua E Soneson. A user-friendly software package for hifu simulation. In AIP Conference Proceedings, volume 1113, pages 165–169. American Institute of Physics, 2009. [32] François Varray, Olivier Basset, Piero Tortoli, and Christian Cachard. Creanuis: a non-linear radiofrequency ultrasound image simulator. Ultrasound in medicine & biology, 39(10):1915–1924, 2013. [33] Bradley E Treeby and Benjamin T Cox. k-wave: Matlab toolbox for the simulation and reconstruction of photoacoustic wave fields. Journal of biomedical optics, 15(2):021314, 2010. [34] Can Barış Top, P Jason White, and Nathan J McDannold. Nonthermal ablation of deep brain targets: a simulation study on a large animal model. Medical physics, 43(2):870–882, 2016. [35] Wynn Legon, Priya Bansal, Roman Tyshynsky, Leo Ai, and Jerel K Mueller. Transcranial focused ultrasound neuromodulation of the human primary motor cortex. Scientific reports, 8(1):1–14, 2018. [36] Shih-Ying Wu, Christian Aurup, Carlos Sierra Sanchez, Julien Grondin, Wenlan Zheng, Hermes Kamimura, Vincent P Ferrera, and Elisa E Konofagou. Efficient blood-brain barrier opening in primates with neuronavigation-guided ultrasound and real-time acoustic mapping. Scientific Reports, 8(1):1–11, 2018. [37] Juanjuan Gu and Yun Jing. msound: An open source toolbox for modeling acoustic wave propagation in heterogeneous media. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 68(5):1476–1486, 2021. [38] Juanjuan Gu and Yun Jing. Simulation of the second-harmonic ultrasound field in heterogeneous soft tissue using a mixed-domain method. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 66(4):669–675, 2019. [39] Gianmarco F Pinton, Jeremy Dahl, Stephen Rosenzweig, and Gregg E Trahey. A heterogeneous nonlinear attenuating full-wave model of ultrasound. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 56(3):474–488, 2009. [40] Yun Jing. A wave-vector-frequency-domain method for linear/nonlinear wave modeling in heterogeneous media. In 2014 IEEE International Ultrasonics Symposium, pages 150–153. IEEE, 2014. [41] Nathan Albin, Oscar P Bruno, Theresa Y Cheung, and Robin O Cleveland. Fourier continuation methods for high-fidelity simulation of nonlinear acoustic beams. The Journal of the Acoustical Society of America, 132(4):2371–2387, 2012. [42] Jcaob Huijssen and Martin D Verweij. An iterative method for the computation of nonlinear, wide-angle, pulsed acoustic fields of medical diagnostic transducers. The Journal of the Acoustical Society of America, 127(1):33–44, 2010. [43] Steven A Leung, Taylor D Webb, Rachelle R Bitton, Pejman Ghanouni, and Kim Butts Pauly. A rapid beam simulation framework for transcranial focused ultrasound. Scientific reports, 9(1):1–11, 2019. [44] Scott Schoen and Costas D Arvanitis. Heterogeneous angular spectrum method for trans-skull imaging and focusing. IEEE Transactions on Medical Imaging, 39(5):1605–1614, 2019. [45] HoT O’Neil. Theory of focusing radiators. The Journal of the Acoustical Society of America, 21(5):516–526, 1949. [46] Xiaobing Fan and Kullervo Hynynen. The effects of curved tissue layers on the power deposition patterns of therapeutic ultrasound beams. Medical physics, 21(1):25–34, 1994. [47] Chen Jiang, Dan Li, Feng Xu, Ying Li, Chengcheng Liu, and Dean Ta. Numerical evaluation of the influence of skull heterogeneity on transcranial ultrasonic focusing. Frontiers in Neuroscience, 14:317, 2020. [48] Max Wintermark, Nicholas J Tustison, William J Elias, James T Patrie, Wenjun Xin, Nicholas Demartini, Matt Eames, Suna Sumer, Benison Lau, Alan Cupino, et al. T1-weighted mri as a substitute to ct for refocusing planning in mr-guided focused ultrasound. Physics in Medicine & Biology, 59(13):3599, 2014. [49] Samuel Pichardo, Vivian W Sin, and Kullervo Hynynen. Multi-frequency characterization of the speed of sound and attenuation coefficient for longitudinal transmission of freshly excised human skulls. Physics in Medicine & Biology, 56(1):219, 2010. [50] Gianmarco Pinton, Jean-Francois Aubry, Emmanuel Bossy, Marie Muller, Mathieu Pernot, and Mickael Tanter. Attenuation, scattering, and absorption of ultrasound in the skull bone. Medical physics, 39(1):299–307, 2012. [51] Ryan M Jones and Kullervo Hynynen. Comparison of analytical and numerical approaches for ct-based aberration correction in transcranial passive acoustic imaging. Physics in Medicine & Biology, 61(1):23, 2015. [52] Cristina Pasquinelli, Hazael Montanaro, Hyunjoo J Lee, Lars G Hanson, Hyungkook Kim, Niels Kuster, Hartwig R Siebner, Esra Neufeld, and Axel Thielscher. Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation. Journal of Neural Engineering, 17(4):046010, 2020. [53] Ping Wu, Rymantas Kazys, and Tadeusz Stepinski. Analysis of the numerically implemented angular spectrum approach based on the evaluation of two-dimensional acoustic fields. part i. errors due to the discrete fourier transform and discretization. The Journal of the Acoustical Society of America, 99(3):1339–1348, 1996. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87519 | - |
| dc.description.abstract | 聚焦式超音波是一種很有前途的腦部疾病治療方法,近年來越來越多的治療計劃需要透過實時的模擬來滿足,以協助臨床醫生做出治療計畫,因此快速且準確的模擬出超音波聲場聚焦分布成為一個重要課題。在我們的研究中,我們提出一種高計算效率的方式來模擬非均勻介質組織下的三維經顱聚焦式超音波聲場聚焦分布。我們將角譜法加入角度權重來模擬經顱聚焦分布的結果,並根據文獻中壓克力材料的設置來驗證本論文方法的精確度,最後透過真實離體顱骨比較模擬數據和測量數據之間的聲場聚焦分布差異。該模擬還與正在進行的臨床測試分析結合,以提供完整的治療計劃。我們開發的角譜法具有快速的計算能力,可以達到半實時的速度計算三維壓力場,範圍覆蓋整個顱內。在壓克力場域中模擬及量測的結果在位置差異上以及穿透率差異上分別小於0.5mm和5%。經顱實驗測量結果(5個真實顱骨中的129個位置)與本論文方法的模擬在相關度R2為 0.7233,平均位置差異為 2.424mm,正規化均方根誤差為 0.1390,根據上述的結果,本論文提出的方法對於經顱聚焦超音波治療的治療計劃具有顯著的效益。 | zh_TW |
| dc.description.abstract | Focused ultrasound is a promising methodology for the therapy of brain diseases. Nowadays, more and more demand has been requested to fulfill the need of delivering real-time treatment planning in order to assist treatment decision-making for clinicians. Rapid and accurate simulation of the ultrasound pressure becomes an important issue. In this study, we proposed the use of a high computational efficiency strategy to simulate a 3D transcranial focused ultrasound beam under heterogenetic tissue conditions. Angular Spectrum Method(ASM) algorithm was Improved by angle weight to simulate the transcranial focal beam deposition. The precision of the algorithm was calibrated via the PE material in vitro setting and then compared the pressure discrepancy between simulated and measured data through a trans-human-cadaver sample setup. The simulation also incorporates the analysis of ongoing clinical testing to provide treatment planning information. The developed ASM algorithm provided the efficient computational capability to calculate a 3D pressure field with a semi-real-time scale with the range to cover the entire brain cavity. The position discrepancy and magnitude between the simulated and measured PE in vitro phantoms were less than 0.5 mm and 5%, respectively. The correlation between the comparison of transcranial measurements (129 positions contributed from 5 human cadavers) as well as the ASM estimations was R2= 0.7233 , the position discrepancy was 2.424mm and NRMS error was 0.1390. This high computing efficient algorithm implementation may provide benefits to improve the treatment planning quality of the current transcranial focused ultrasound treatment. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-06-14T16:07:21Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-06-14T16:07:21Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 致謝i
摘要ii Abstract iii 目錄iv 圖目錄vii 表目錄x 第一章緒論1 1.1 聚焦超音波. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 聚焦式超音波腦部應用. . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 療程規劃及聲場分佈模擬. . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.1 均勻介質超音波模擬. . . . . . . . . . . . . . . . . . . . . . . . 4 1.3.2 非均勻介質超音波模擬. . . . . . . . . . . . . . . . . . . . . . . 5 1.4 穿顱聚焦式超音波模擬. . . . . . . . . . . . . . . . . . . . . . . . . 10 1.5 研究目的. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 第二章研究方法15 2.1 理論. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.1.1 雷利-薩瑪菲爾德繞射積分式(Rayleigh-Sommerfeld diffraction integral) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.1.2 傳統角譜法(Traditional angular spectrum method) . . . . . . . . . 16 2.1.3 混合角譜法(Hybrid angular spectrum method) . . . . . . . . . . . 17 2.2 非均質角譜法(Heterogeneous angular spectrum method) . . . . . . . 20 2.2.1 非均質角譜法於角度加權改良. . . . . . . . . . . . . . . . . . . 23 2.3 數值方法細節. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.1 模擬設備. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.3.2 前處理細節. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.3.3 數值方法細節. . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.3.4 後處理細節. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.4 實驗架構及驗證方法. . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.4.1 壓克力場域. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 2.4.2 水場域及顱骨場域. . . . . . . . . . . . . . . . . . . . . . . . . . 31 第三章結果與討論38 3.1 實驗目的. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.2 壓克力場域結果分析. . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.3 水場域及顱骨場域結果分析. . . . . . . . . . . . . . . . . . . . . . 41 3.3.1 水場域結果分析. . . . . . . . . . . . . . . . . . . . . . . . . . . 41 3.3.2 顱骨場域結果. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 3.3.3 顱骨場域穿透率結果分析. . . . . . . . . . . . . . . . . . . . . . 55 3.3.4 顱骨場域位置結果分析. . . . . . . . . . . . . . . . . . . . . . . 61 3.3.5 顱骨場域聚焦分布結果分析. . . . . . . . . . . . . . . . . . . . 62 3.3.6 實驗誤差討論. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 第四章結論及未來展望65 4.1 結論. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 4.2 未來展望. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 參考文獻68 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 超音波治療 | zh_TW |
| dc.subject | 聚焦式超音波聲場模擬 | zh_TW |
| dc.subject | 角譜法 | zh_TW |
| dc.subject | Focused ultrasound simulation | en |
| dc.subject | Ultrasonic therapy | en |
| dc.subject | Angular spectrum method | en |
| dc.title | 非均質角譜法於穿顱聚焦式超音波之模擬 | zh_TW |
| dc.title | Heterogeneous Angular Spectrum Method for Trans-Skull Focused Ultrasound Simulation | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 邱錫彥;龍震宇;李正匡 | zh_TW |
| dc.contributor.oralexamcommittee | Shin-Yan Chiou;Chen-Yu Lung;Cheng-Kuang Lee | en |
| dc.subject.keyword | 聚焦式超音波聲場模擬,超音波治療,角譜法, | zh_TW |
| dc.subject.keyword | Focused ultrasound simulation,Ultrasonic therapy,Angular spectrum method, | en |
| dc.relation.page | 75 | - |
| dc.identifier.doi | 10.6342/NTU202300356 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2023-02-13 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 電機工程學系 | - |
| dc.date.embargo-lift | 2026-02-08 | - |
| 顯示於系所單位: | 電機工程學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-111-1.pdf 授權僅限NTU校內IP使用(校園外請利用VPN校外連線服務) | 6.64 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
