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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 | |
dc.contributor.author | Chih-Wei Tsao | en |
dc.contributor.author | 劉至偉 | zh_TW |
dc.date.accessioned | 2021-05-20T21:39:28Z | - |
dc.date.available | 2012-08-17 | |
dc.date.available | 2021-05-20T21:39:28Z | - |
dc.date.copyright | 2010-08-17 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-13 | |
dc.identifier.citation | [1] P. M. Shankar, Senior Member, “A General Statistical Model for Ultrasonic Backscattering from Tissues, “ IEEE trans. on Ultrason. Ferr. Freq. Cont. ,47:727-736 ,2000
[2] T. A. Tuthill , R. H. Sperry ,and K. J. Parker , “Deviation from Rayleigh Statistical in Ultrasonic Speckle,” Ultrason. Imag. ,10:81-89, 1988. [3] Robert F. Wagner, Stephen W. Smith, John M. Sandrik and Hector lopez, “Statistics of Speckle in Ultrasound B-Scans,” IEEE trans. on Sonics and Ultrasonics, Vol.30, No.3, May 1983, pp.156-163 [4] R.C. Molthen, P. M. Shankar, J.M. Reid, “Characterization of Ultrasonic B-scans Using Non-rayleigh Statistics,” Ultrasound in Med. & Biol. , Vol. 21No. 2,pp. 161-167, 1995 [5] Yasutomo FUJII • Nobuyuki TANIGUCHI • Yi WANG,etc.” Clinical Application of a new Method that Segments the Region of Interest into Multiple Layers for RF Amplitude Histogram Analysis in the Cirrhotic Liver,” J. Med. Ultrasonics 31:91–98,2004 [6] Kenneth P. Batts, and Jurgen Ludwig,” Chronic Hepatitis an Update on Terminology and Reporting” The American Journal of Surgical Pathology 19:1409-1417, 1995 [7] V. M. Narayanan, P. M. Shankar, and J. M. Reid, “Non-Rayleigh statistics of ultrasonic back scattered signals,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 41, no. 6, pp. 845–852, Nov. 1994. [8] L. C. Gillman, “First order statistics of pulsed-sinusoid backscatter from random media: Basic elements of an exact treatment,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 44, no. 4, pp. 798–804, Jul. 1997. [9] P. M. Shankar, “A model for ultrasonic scattering from tissues based on K-distribution,” Phys. Med. Biol., vol. 40, pp. 1633–1649, 1995. [10] V. Dutt and J. F. Greenleaf, “Ultrasound echo envelope analysis using a homodyned K distribution signal model,” Ultrason. Imag., vol. 16, pp. 265–287, 1994. [11] V. M. Narayanan, R. C. Molthen, P. M. Shankar, L. Vergara, and J. M. Reid, “Studies on ultrasonic scattering from quasi-periodic structures,” IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 44, pp. 114–124, Jan. 1997. [12] J. W. Hunt, A. E. Worthington, and A. T. Kerr, “The subtleties of ultrasound images of an ensemble of cells: Simulation from regular and more random distributions of scatterers,” Ultrasound Med. Biol., vol. 21, no. 3, pp. 329–341, 1995. [13]C. B. Burckhardt, “Speckle in ultrasound B-mode scans,” IEEE Trans. Son. Ultrason., vol. SU-25, no. 1 , pp. 1-6, Jan. 1978. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10561 | - |
dc.description.abstract | 肝纖維化為慢性肝炎引起的常見症狀,除了會演化成肝硬化外,亦是肝臟受損的歷程記錄,因此肝纖維化的診斷一直是監控慢性肝炎的重要指標。肝纖維化診斷的黃金標準為肝穿刺,但肝穿刺是侵入性手術,因此難以普遍施行,以致肝纖維化第一線的診療儀器還是腹部超音波影像儀器。但肝纖維化於超音波影像的診斷一直難有可靠的準確度且難以量化,因此我們希望利用超音波影像的RF訊號於工程層面輔助醫生診斷。
由前人研究知肝臟超音波影像雖為Speckle組成的影像,但Speckle並非毫無資訊。利用訊號的一階統計參數值,可以推測出散射子的狀態。而由肝纖維化的病理進程,我們發現當重度肝纖維化時,影響肝臟結構的散射特性分為兩個層面:一個是規律性的打亂;而另一個是造成散射截面的不均勻。由前人研究我們得知Nakagami分布的參數m值,對這兩個特性都能有效描述。因此我們將利用估測此參數值來偵測肝纖維化。 不過於實際肝臟超音波訊號上,訊號的統計有一些難以解決的問題,而造成統計參數估測的困難。我們發展出將影像ROI分割成許多小區塊分別做參數統計,並將所得的統計值的統計分布以眾數估測其趨勢。 我們以此方法求得的結果比對肝穿刺的結果,發現由此方法估測出的參數值,將能有效的偵測出重度纖維化。 | zh_TW |
dc.description.abstract | Liver fibrosis was common symptoms caused by chronic hepatitis, in addition to evolve into liver cirrhosis, is also a course record of the liver damage, so the diagnosis of liver fibrosis in chronic hepatitis has been key indicators. The gold standard for diagnosis of liver fibrosis is liver biopsy, but liver biopsy is invasive surgery, it is difficult to universal, so that the first-line treatment of liver fibrosis is abdominal ultrasound imaging apparatus equipment. However, ultrasound imaging of liver fibrosis in the diagnosis has been difficult to have reliable accuracy and difficult to quantify, so we want to use the RF signal of ultrasound imaging assisted medical diagnosis.
Know from the previous studies, although liver ultrasonography is composed of speckle, but not without information. Using first-order statistical parameters can be inferred scattering state. By the pathological process of liver fibrosis, we found that the impact of the structure of the scattering characteristics of the severe liver fibrosis is divided into two effect: one is the upset of the regularity; while the other is caused by the uneven cross section. In previous studies we know the value of the parameter m or the parameter of the Nakagami distribution can be effectively described in these two characteristics. Therefore, we will use the estimated value of this parameter to detect liver fibrosis. However, in practical there are some difficult issues, which lead to statistical parameter estimation problems of the real liver signal. We developed a method which makes ROI image divided into many smaller blocks were used for parameter statistics, and statistics obtained from the statistical distribution of the trend estimate. The results obtained in this way we compared the results of liver biopsy and found that this method of estimating the parameter will be able to effectively detect severe fibrosis. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T21:39:28Z (GMT). No. of bitstreams: 1 ntu-99-R97945029-1.pdf: 1189218 bytes, checksum: 9a19b19426c1bcb1476bee3a3c38707a (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 摘要 I
Abstract II 目錄 IV 圖目錄 VI 表目錄 VII 第一章 緒論 1 1-1 前言 1 1-2 肝臟超音波掃描簡介 1 1-3 肝臟超音波影像與慢性肝病變 2 1-4 研究動機與目的 3 第二章 原理介紹 5 2-1 超音波基本特性 5 2-1.1 基本原理 5 2-1.2 常見聲學效應 6 2-1.2 肝臟超音波訊號簡介及成像原理 7 2-2 超音波Speckle訊號之一階統計與散射特性 10 2-2.1 散射理論 11 2-2.2 Fully-developed Scattering與Rayleigh分布 13 2-2.3 Non-Rayleigh分布的各種散射情況 15 2-2.4 常見Non-Rayleigh分布模型 16 第三章 模擬研究及統計方法 19 3-1 資料來源與儀器介紹 19 3-2 統計參數與肝纖維化的關係及模擬研究 22 3-2.1 肝小葉結構與肝纖維化 22 3-2.2 統計參數與肝小葉散射特性的關係 25 3-2.3 模擬研究-肝組織規律性與統計參數 26 3-2.4 選取統計參數 29 3-3 實際訊號參數統計上的難題 30 3-4 統計方法 31 3-5 統計趨勢的估測與模擬研究 35 3-6 反射訊號的影響以及選取眾數當分布趨勢估測的理由 38 3-7 訊號篩選 40 第四章 實驗結果與討論 45 4-1 參數值估測流程 45 4-2 資料匯整 46 4-3 實驗結果 47 4-4 肚皮過厚案例的探討 48 4-5 結果討論 49 第五章 未來展望 50 參考文獻 51 | |
dc.language.iso | zh-TW | |
dc.title | 肝臟超音波背散射訊號之一階統計值於肝纖維化偵測的應用 | zh_TW |
dc.title | The Detection of Liver Fibrosis based on the First-Order Statistics of the Backscattered Ultrasonic Signal of Liver Tissue | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 楊培銘,周宜宏,江惠華 | |
dc.subject.keyword | 肝纖維化,肝小葉,腹部超音波,一階統計,Nakagami分布, | zh_TW |
dc.subject.keyword | liver fibrosis,liver lobule,abdominal ultrasound,first-order statistics,Nakagami distribution, | en |
dc.relation.page | 52 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2010-08-15 | |
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 |
顯示於系所單位: | 生醫電子與資訊學研究所 |
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