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???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
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dc.contributor.advisor | 李百祺 | |
dc.contributor.author | Lin-Yi Tseng | en |
dc.contributor.author | 曾令儀 | zh_TW |
dc.date.accessioned | 2021-05-17T09:21:28Z | - |
dc.date.available | 2014-03-19 | |
dc.date.available | 2021-05-17T09:21:28Z | - |
dc.date.copyright | 2012-03-19 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-02-10 | |
dc.identifier.citation | [1] P. C. Li, Class note of Principle of medical ultrasound.
[2] A. A. Morsy and O. T. von Ramm, “FLASH Correlation: A New Method for 3-D Ultrasound Tissue Motion Tracking and Blood Velocity Estimation,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 46, no. 3, pp. 728-736,1999. [3] G. R. Bashford, Student Member, IEEE and O. T. von Ramm, “Ultrasoud Three-Dimensional Velocity Measurements by Feature Tracking,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 43, no. 3, pp. 376-384, 1996. [4] G. R. Bashford, Senior Member, IEEE and O. T. von Ramm, “Direct Comparison of Feature Tracking and Autocorrelation for Velocity Estimation,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol.54, no. 4, pp. 757-767, 2007. [5] Johnny Kuo and O. T. von Ramm, “Three-Dimensional Motion Measurements Using Feature Tracking,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol.55, no. 4, pp. 800-810. [6] R. G. Dantas, E. T. Costa and S. Leeman, “Ultrasound Speckle and Equivalent Scatterers ,“ Ultrasonics, vol. 43, pp. 405-420, 2005. [7] W. J. Flu, J. P. van Kuijk, J. J. Bax, J. Gorcsan III and D. Poldermans, “Three-dimensional speckle tracking echocardiography: a novel approach in the assessment of left ventricular volume and function?,” European Heart Journal , vol. 30, no. 19, pp. 2304-2307, 2009. [8] G. R. Bashford and D. J. Robinson, “Direct Comparison of Feature Tracking and Autocorrelation for Velocity Estimation,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 54, no. 4, pp. 757-767, 2007. [9] X.Song, A. Myronenko and D. J. Sahn, “Speckle Tracking in 3D Echocardiography with Motion Coherence,” Computer vision and pattern Recognition, CVPR’07 IEEE conference on June 2007, pp.1-7. [10] J. D’hooge, A. Heimdal, F. Jamal, T. Kukulski, B. Bijnens, F. Rademakers, L. Hatle, P. Suetens and G. R. Sutherland,”REVIEW ARTICLE Regional Strain and Strain Rate Measurements by Cardiac Ultrasound : Principle, Implementation and Limitations,” Eur. J. Echocardiography, vol.1, pp.154-170, 2000. [11] T. Kawagishi,“Speckle Tracking for Assessment Cardiac Motion and Dyssynchrony,” Echocardigraphy: A Jrnl. of CV Ultrasound & Allied Tech, vol.25, No.10, pp.1167-1171, 2008. [12] Y. Notomi, P. Lysyansky, R. M. Setser, T. Shiota, Z. B. Popovic, M. G. Martin-Miklovic, J. A. Weaver, S. J. Oryzak, N. L. Greenberg, R. D. White and J. D. Thomas, “Measurement of Ventricular Torsion by Two-Dimensional Ultrasound Speckle Tracking Imaging” Journal of the American College of Cardiology, vol.45,No.12, pp. 2034-2041, 2005. [13] S. Y. Wu, “Speckle Tracking Performance in High Frame-Rate Ultrasound Imaging,” Master’s Thesis at Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University,2009. [14] T. H. Marwick, “Measurement of Strain and Strain Rate by Echocardiography. Ready for Prime Time?,” Journal of the American College of Cardiology, vol.47,No.7, pp. 1313-1327, 2006. [15] J. D’hooge, B. Bijnens, J. Thoen, F. V. de Werf, G. R. Sutherland and P. Suetens, “Echocardiographic Strain and Strain-Rate Imaging: A New Tool to Study Regional Myocardial Function,” IEEE Transactions On Medical Imaging, vol. 21, no. 9, pp.1022-1020, 2002. [16] T. Misaridis and J. A. Jensen, “Use of Modulated Excitation Signals in Medical Ultrasound. Part III: High Frame Rate Imaging,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 52, no. 2, pp. 208-218, 2005. [17] W. L. Li, “Efficient Speckle Tracking Technique and Its Applications in Ultrasonic Breast Imaging,” Master’s Thesis at Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University,2008. [18] S. Kitazawa, N. Kono, A. Baba and Y. Adachi, “A Three-Dimensional Phased Array Ultrasonic Testing Technique,” 10th ECNDT, Moscow 2010. [19] J. Chan, C. Jenkins, F. Khafagi, L. Du, and T. H. Marwick, “What Is the Optimal Clinical Technique for Measurement of Left Ventricular Volume After Myocardial Infarction? A Comparative Study of 3-Dimensional Echocardiography, Single Photon Emission Computed Tomography, and Cardiac Magnetic Resonance Imaging,” Journal of the American Society of Echocardiography, vol.19, no.2, pp.192-201, 2006. [20] TOSHIBA Artida Wall Motion Tracking Algorithm Information. [21] TOSHIBA Artida 3D Wall Motion Tracking. [22] J. Meunier,“Tissue Motion Assessment From 3D Echographic Speckle Tracking,”Physics in Medicine and Biology, vol.43, pp.1241-1254,1998. [23] T. Varghese and J. Ophir,“Estimating Tissue Strain From Signal Decorrelation Using The Correlation Coefficient,”Ultrasound in Medicine and Biology, vol.22, no.9, pp.1249-1254,1996. [24] T. Varghese and J. Ophir,“Enhancement of Echo-Signal Correlation in Elastography Using Temporal Stretching,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 44, no. 1, pp. 173-180, 1997. [25] S. K. Alam and J. Ophir,“Reduction of Signal Decorrelation from Mechanical Compression of Tissues by Temporal Stretching : Applications to Elastography ,” Ultrasound in Medicine and Biology, vol.23, no.1, pp.95-105,1997. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6929 | - |
dc.description.abstract | 心臟超音波應變影像是臨床用來評估心肌運動狀態的檢測工具,其主要的原理是應用斑點追蹤法偵測心臟超音波動態影像心肌內外膜上斑點位移前後的相對位置,再進一步推估出心肌應變量並藉以提供臨床醫生判定心臟功能狀態的資訊,但目前臨床上僅限於應用在二維超音波影像上。由於心臟是人體內博動速度最快的器官,並合併有伸長、縮短、扭轉等複雜的運動模式,要能完整獲得如此複雜的形變資訊,就必須要發展即時的三維心臟超音波應變影像(Real time 3D echocardiographic strain image );而超音波平面波成像法擁有最快的成像速率,能夠達到即時成像的可能,另外由斑點追蹤法衍生而來的特徵追蹤法能夠解決斑點追蹤法在高維度影像資訊中遭遇龐大運算量的問題,因此本研究的目的是希望結合平面波成像法與特徵追蹤法以建立即時的三維心臟超音波應變影像。
在本研究中,我們模擬了三維平面波動態影像,並進行斑點追蹤與特徵追蹤的分析比較。結果發現,平面波影像較雙向聚焦影像在橫向位移上有較大的追蹤誤差,若將平面波影像在極座標上進行追蹤會有較佳的追蹤結果;特徵追蹤法較傳統斑點追蹤法有極佳的運算效能,但追蹤誤差較大;應用在旋轉的影像上時,特徵追蹤法與斑點追蹤法都有良好的追蹤正確率,但特徵追蹤的誤差仍較大;在特徵追蹤演算法中,當篩選特徵斑點的域值越大或內核(kernel)設定範圍越大時,特徵追蹤的追蹤誤差會越低,但所篩選的特徵斑點數目也會越少。根據上述各項進行的分析結果,我們認為結合平面波成像法與特徵追蹤法來建立即時三維心臟超音波應變影像是可行的。最後,我們嘗試著將特徵追蹤法應用於臨床三個月大嬰兒的三維心臟超音波影像分析上,由於受限於臨床超音波影像品質,心臟內外膜上篩選的特徵斑點過少,所得到的三維心臟應變影像無法表示整體心臟運動形態,因此未來還需要針對特徵追蹤法在臨床影像上的應用作進一步探討和分析。 | zh_TW |
dc.description.abstract | Echocardiographic strain imaging is a clinical tool to assess the myocardial motion. Speckle tracking is typically applied to detect displacement of speckles on endocardium and epicardium. Furthermore, it can estimate the myocardial strain to help clinicians to evaluate cardiac functions, but its clinical applications are mainly limited to two-dimensions. As the heart is the fastest-moving organ, and is associated with elongation, shortening, torsion movement patterns, it is necessary to develop real-time three-dimensional strain echocardiography image for the acquisition of complete information of such a complex deformation. In view of the fact that plane-wave excitation imaging has the highest frame rate which makes it possible to achieve real-time three-dimensional imaging, and that the other feature tracking method derived from the speckle tracking method is able to solve the problem that three-dimensional speckle tracking is too computationally intensive for practical use, the aim of this study is to combine the plane-wave excitation imaging method and the feature tracking method to construct three-dimensional echocardiographic strain images. In this study, we simulate three-dimensional plane-wave excitation (PWE) images with object motion on which speckle tracking and feature tracking methods are applied and their efficacies are compared. The results show that PWE images result in greater tracking errors in lateral displacements when compared with two-way focused images. In addition, better tracking results can be obtained if the speckle tracking algorithm is implemented in polar coordinates. Furthermore, although the feature tracking method is more computationally efficient than the traditional speckle tracking method, its tracking error is relatively large. On the other hand, when applied on the rotated images, the feature tracking method and the speckle tracking method both have good tracking accuracy, but the error in the feature tracking case is still larger. In the feature tracking algorithm, the greater the threshold or the larger kernel size is set, the higher the tracking accuracy will be, but the number of feature patterns will also decrease. According to the results above, we believe that it is feasible to combine the plane-wave excitation imaging with feature tracking to constitute three-dimensional echocardiographic strain imaging. Finally, we apply feature tracking to clinical three-dimensional echocardiographic data of a three-month-old baby. Due to limited image quality, the feature patterns of endocardium and epicardium are not representative of the overall movement of the heart. Future researches will deal with the problems of the feature tracking method in clinical applications. | en |
dc.description.provenance | Made available in DSpace on 2021-05-17T09:21:28Z (GMT). No. of bitstreams: 1 ntu-101-R98945038-1.pdf: 3665151 bytes, checksum: 58f5b319463fcbf02f82a4c2a36e7750 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | 口試委員審定書…………………………………………………………..i
誌謝……………………………………………………………………….ii 中文摘要…………………………………………………………………iii ABSTRACT ……………………………………………………………..iv 目錄……………………………………………………………………vi 表目錄……………………………………………………………………ix 圖目錄……………………………………………………………………x 第一章 緒論…………………………………………………………….. 1 1.1 前言………………………………………………………………. 1 1.2 研究動機…………………………………………………………. 2 第二章 心臟超音波應變影像………………………………………….. 4 2.1 心肌組織的應變…………………………………………………. 4 2.1.1 徑向應變(Radial Strain)…………………………………….. 5 2.1.2 環向應變(Circumferential Strain)…………………………... 6 2.1.3 縱向應變(Longitudinal Strain)……………………………… 7 2.2 超音波應變量量測方法…………………………………………. 8 2.2.1 都卜勒頻移估計速度梯度法……………………………...... 8 2.2.2 斑點追蹤法………………………………………………… 10 第三章 超音波平面成像……………………………………………… 12 3.1 高速超音波成像(High Frame Rate Imaging) ……………….… 12 3.1.1 波束形成原理(Beamforming Principle) ……………….….. 12 3.1.2 聚焦成像(Focus Imaging) ……………….………………... 16 3.1.3 多重波束傳輸(Multiple Beam Transmission) ………….…. 17 3.2 平面波發射成像(Plane-wave Excitation Imaging, PWE)….….. 18 第四章 超音波影像斑點追蹤演算法………….…………………….. 20 4.1 斑點特性與應用………….…………………………………..... 20 4.2 斑點追蹤演算法………….…………………………………..... 21 4.3 特徵斑點追蹤演算法………….……………………………..... 25 4.4 應變量與相關係數間的關係………………………….……..... 27 第五章 斑點追蹤法於三維心臟超音波影像之應用……….……….. 33 5.1 應用於模擬之三維平面波影像……….………………...…….. 33 5.1.1 模擬方法………………………………………….……….. 33 5.1.2 平面波影像和雙向聚焦影像進行傳統斑點追蹤法的比較… ………………………………………….………………….. 36 5.1.3 在極坐標系和直角坐標系下進行傳統斑點追蹤法的比較 … ………………………………………….………………….. 41 5.1.4 特徵追蹤法與傳統斑點追蹤法的比較….……………….. 43 5.1.4.1 不同資料量….……………………….……………….. 43 5.1.4.2 不同旋轉角度….……………………………….…….. 47 5.1.5 應用特徵追蹤法於三維平面波影像….……………….…. 54 5.1.5.1 不同域值對追蹤結果的影響….……………….…….. 54 5.1.5.2 不同大小的內核(kernel)設定對追蹤結果的影響…... 56 5.2 應用特徵追蹤法於臨床三維心臟超音波影像………………. 59 第六章 結論與未來工作……………………………….………….…. 66 6.1 結論………………………………………………………….… 66 6.2 未來工作……………………………….….……………….….. 67 參考文獻……………………………………………..…………..….….. 68 | |
dc.language.iso | zh-TW | |
dc.title | 運用特徵追蹤法在三維超音波平面波影像上的運動分析 | zh_TW |
dc.title | Motion Analysis In Three Dimensional Ultrasound Plane-Wave Excitation Imaging By Feature Tracking | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林隆君,郭柏齡,沈哲州 | |
dc.subject.keyword | 心臟超音波應變影像,斑點追蹤,特徵追蹤,高速超音波成像,超音波平面波成像, | zh_TW |
dc.subject.keyword | echocardiographic strain imaging,speckle tracking,feature tracking,high frame rate imaging,plane-wave excitation imaging, | en |
dc.relation.page | 70 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2012-02-10 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
Appears in Collections: | 生醫電子與資訊學研究所 |
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