跳到主要內容

臺灣博碩士論文加值系統

(44.222.218.145) 您好!臺灣時間:2024/02/29 14:04
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:徐正憲
研究生(外文):Cheng-Hsien Hsu
論文名稱:利用非等向性指標觀察缺血性中風病患
論文名稱(外文):Anisotropy Diffusion Index on Ischemic Stroke Patients
指導教授:劉益瑞
指導教授(外文):Yi-Jui Liu
學位類別:碩士
校院名稱:逢甲大學
系所名稱:自動控制工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:63
中文關鍵詞:非等向性擴散張量影像缺血性腦中風三相張量圖幾何擴散
外文關鍵詞:anisotropygeometricischemic brain strokediffusion tensor imagethree phase tensor diagram
相關次數:
  • 被引用被引用:6
  • 點閱點閱:315
  • 評分評分:
  • 下載下載:41
  • 收藏至我的研究室書目清單書目收藏:1
本論文利用磁振擴散權重影像(diffusion weighted image)和磁振擴散張量影像(diffusion tensor image),觀察大腦組織水分子的擴散狀態,其藉由水分子擴散方向來評估大腦纖維走向,是檢驗缺血性中風的重要依據。然而經由磁振擴散張量影像測量,除了得知水分子擴散係數(apparent diffusion coefficient)、非等向性指標(fractional anisotropy, FA)和方向外,還有幾何擴散形態指標(線形指標CL、面形指標CP、球形指標CS)可資利用。針對缺血性中風的擴散係數、非等向性、甚至纖維走向,已有多篇研究報告,但尚無缺血性中風後的幾何形態變化之研究,此乃本研究的目的,即觀察缺血性中風和正常腦組織,其幾何形態之差異。本研究分別對健康受測者和缺血性中風患者施以磁振擴散張量檢查,分別求得水分子擴散係數、非等向性指標和幾何形態指標,比較其差異。我們利用三相(three-phase, 3P)平面座標分析組織的幾何結構,觀察中風區和正常區的幾何形態分佈狀態。實驗結果顯示,正常的灰質其幾何結構偏向球形,座落於三相張量圖(3P tensor diagram)的頂端,而正常區的白質其幾何結構偏向線形,座落於圖形的左下方;而中風之後,灰質與白質的非等向性皆出現衰退下降,幾何結構也趨向球形。
Diffusion weighted images (DWI) and Diffusion tensor images (DTI) have been used to evaluate the status of water diffusion in brain tissue. DTI provides more information about the orientation of the white matter tract of the brain especially. In addition to the information of the apparent diffusion coefficient (ADC), fractional anisotropy (FA) and orientation of the fibers, other geometric diffusion indicators such as CL, CP and CS corresponding to linear, planar and spherical morphology could be derived from the DTI measurements. Previous researchers have focused on the ADC, FA and other anisotropic indices of the ischemic cerebral infarction. The change of geometric parameters after infarction, however, has not been investigated up to data. The aim of this research is to compare the difference the change of geometric parameters between infarct and healthy brain tissue. We added the DTI sequences to healthy volunteers and ischemic stroke patients to get ADC, FA and geometric indices. The geometric distribution of both infarct and healthy brain tissue are displayed on the three-phase (3P) tensor diagram. The result shows that, on healthy subjects, the gray matter has high value on CS and lowers on CL and CP parameters (lie on top of the 3P diagram), while the white matter has higher value on CL and lower CP and CS (lie on left
lower corner of 3P diagram). After infarction, the gray matter and white matter both show less anisotropy and raised CS index.
誌謝 i
中文摘要 ii
Abstract iii
目錄 iv
圖目錄 v
表目錄 vii
第一章 概論 1
1.1研究背景 1
1.2研究目的與其重要性 2
1.3相關研究文獻 3
第二章 研究理論 5
2.1 擴散權重磁振影像 5
2.2 擴散權重影像與缺血性中風 10
2.3 擴散張量影像 12
2.4 擴散量化指標 14
2.4.1 水分子擴散速率 14
2.4.2 非等向性擴散指標 14
2.4.3 幾何擴散形態指標與3P圖 15
2.5 辨識度指標(detectability index) 17
第三章 研究材料與方法 18
3.1建立擴散張量影像 18
3.2 擷取非等向性指標 21
第四章 正常大腦之非等向性指標分析 25
4.1 ADC與非等向指標 25
4.2 幾何擴散指標分析 29
4.2.1 數學定義 29
4.2.2 實際大腦組織分析 29
4.2.3 各組織區域分析 33
第五章 缺血性中風之非等向性分析 43
5.1 ADC與FA指標 43
5.2 擴散形態指標 45
5.3 幾何擴散3P平面分析 47
第六章 討論與結論 49
參考文獻 51
附錄 54
[1] Schwamm LH, Koroshetz WJ, Sorensen AG, Wang B, et al. “Time course of lesion development in patients with acute stroke: serial diffusion- and hemodynamic-weighted magnetic resonance imaging”. Stroke, 29: 2268–2276, 1998.
[2] Warach S, Gaa J, Siewert B, Wielopolski P, Edelman RR, “Acute human stroke studied by whole brain echo planar diffusion-weighted magnetic resonance imaging”, Ann Neurol, 37(2):231-41, Feb 1995.
[3] Hacke W, Kaste M, Fieschi C, et al. “Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke: the European Cooperative Acute Stroke Study”. JAMA, 274:1017-1025, 1995.
[4] National Institute of Neurological disorders and Stroke rt-PA Study Group. “Tissue plasminogen activator for acute ischemic stroke”. N Engl J Med, 355:1581-1587, 1995.
[5] Le Bihan D, Mangin JF, Poupon C, Clark CA, Pappata S, Molko N, Chabriat H. “Diffusion tensor imaging: concepts and applications”. J Magn Reson Imaging, 13(4):534-46, Apr. 2001.
[6] Kindlmann G., Weinstein D., Hart D., “Strategies for Direct Volume Rendering of Diffusion Tensor Fields”. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 6(2): 124-138, Apr. 2000.
[7] Armitage PA, Bastin ME, Marshall I, Wardlaw JM, Cannon J. “Diffusion anisotropy measurements in ischaemic stroke of the human brain”. MAGMA, 6(1):28-36, Aug. 1998.
[8] Werring DJ, Toosy AT, Clark CA, Parker GJ, Barker GJ, Miller DH, Thompson AJ. “Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke”. J Neurol Neurosurg Psychiatry, 69(2):269-72, Aug. 2000.
[9] Yang Q, Tress BM, Barber PA, Desmond PM, Darby DG, Gerraty RP, Li T, Davis SM. “Serial study of apparent diffusion coefficient and anisotropy in patients with acute stroke”. Stroke, 30: 2382–2390, 1999.
[10] Pantoni L, Garcia, JH, Gutierrez JA. “Cerebral white matter is highly vulnerable to ischemia”. Stroke, 27: 1641–1647, 1996.
[11] Kuroiwa T, Nagaoka T, Ueki M, Yamada I, Miyasaka N, Akimoto H. “Different apparent diffusion coefficient: water content correlations of gray and white matter during early ischemia”. Stroke, 29: 859–865, 1998.
[12] Sorensen AG, Wu O, Copen WA, Davis TL, Gonzalez RG, Koroshetz WJ, Reese TG, Rosen BR, Wedeen VJ, Weisskoff RM. “Human acute cerebral ischemia: detection of changes in water diffusion anisotropy by using MR imaging”. Radiology, 212(3):785-92, Sep. 1999.
[13] Carano RAD, Li F, Irie K, Helmer KG, Silva MD, Fisher M, Sotak CH. “Multispectral analysis of the temporal evolution of cerebral ischemia in the rat brain”. J. Magn. Reson. Imag, 12: 842–858, 2000.
[14] Warach S, Chien D, Li W, Ronthal M, Edelman RR. Fast magnetic resonance diffusion-weighted imaging of acute human stroke. Neurology 1992;42:1717–1723.
[15] Einstein A. Investigation on the theory of the Brownian movement, Dover, 1926.
[16] http://brainimaging.waisman.wisc.edu/~mlazar/index.html (Mariana Lazar, “White Matter Tractography: An Error Analysis and Human Brain Fiber Tract Reconstruction Study”, Department of Physics, The University of Utah, A Dissertation of PhD, May 2003.)
[17] http://www.rsierra.com/DA/ (Raimundo Sierra, “Nonrigid registration of diffusion tensor images”)
[18] Hashemi RH, Bradley WG. MRI The Basics. Willams & Wikins, 1997.
[19] Lutsep HL, Albers GW, de Crespigny A, Kamat GN, Marks MP, Moseley ME. “Clinical utility of diffusion-weighted magnetic resonance imaging in the assessment of ischemic stroke”. Ann. Neurol, 41: 574–580, 1997.
[20] Warach S, Moseley M, Sorensen AG, Koroshetz W. “Time course of diffusion imaging abnormalities in human stroke”. Stroke, 27: 1254–1256, 1996
[21] Huang IJ, Chen CY, Chung HW, et al. “Time course of cerebral infarction in the middle cerebral arterial territory: deep watershed versus territorial subtypes on diffusion-weighted MR images”. Radiology, 221: 35-42, 2001.
[22] Liu YJ, Chen CY, Chung HW, Huang IJ, Lee CS, Chin SC, Liou M. “Neuronal Damage after Ischemic Injury in the Middle Cerebral Arterial Territory: Deep Watershed versus Territorial Infarction at MR Perfusion and Spectroscopic Imaging”. Radiology, 229: 366-74, 2003.
[23] Richard W., Conor L., Sumit N., and Aziz M. U., “Fiber Tracking Using Magnetic Resonance Diffusion Tensor Imaging and Its Applications to Human Brain Development”. Mental Retardation and Developmental Disabilities, Vol 9, pp: 168-177, 2003.
[24] Westin CF, Peled S, Gudbjartsson H, Kikinis R Jolesz FA. “Geometrical diffusion measures for MRI from tensor basis analysis”. In: Proceedings of the 5th Annual Metting of ISMRM, P1742, Vancouver, 1997.
[25] Westin CF, Maier SE, Khidhir B, Everett P, Jolesz FA, Kikinis R. “Image Processing for Diffusion Tensor Magnetic Resonance Imaging”. In Proceedings of 2nd Int. Conf. on Medical Image Computing and Computer-assisted Interventions, P441-452, 1999.
[26] Kindlmann G, Weinstein D. “Hue-balls and lit-tensors for direct volume rendering of diffusion tensor fields”. In: Proceedings of the IEEE Visualization, abstract P7-1, 1999.
[27] Alexander AL, Hasan K, Kindlmann G, Parker DL, Tsuruda JS, “A geometric analysis of diffusion tensor measurements of the human brain”. Magn Reson Med, 44(2):283-91, Aug. 2000.
[28] Zhang S, Bastin ME, Laidlaw DH, et al. “Visualization and analysis of white matter structural asymmetry in diffusion tensor MRI data”. Magn Reson Med, 51:140-147, 2004.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top