跳到主要內容

臺灣博碩士論文加值系統

(3.235.120.150) 您好!臺灣時間:2021/08/03 06:34
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

我願授權國圖
: 
twitterline
研究生:洪詩涵
研究生(外文):Hung-Shih Han
論文名稱:體素內不同調運動磁共振肝臟影像的微灌流相關擴散參數之再現性:探討影像訊雜比、b值數目與血管存在之因素
論文名稱(外文):Reproducibility of the Perfusion-related Diffusion Coefficient in Liver Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging: Considering Image SNR, b value Sampling Numbers and the Existence of Larger Vessel
指導教授:鍾孝文
指導教授(外文):Hsiao-Wen Chung
口試委員:黃騰毅 吳文超王俊杰陳潤秋
口試日期:2015-07-27
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:生醫電子與資訊學研究所
學門:工程學門
學類:生醫工程學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:27
中文關鍵詞:體素內不同調運動擴散磁共振影像肝臟再現性
外文關鍵詞:Intravoxel Incoherent MotionDiffusion-weighted Magnetic Resonance ImagingLiverReproducibility
相關次數:
  • 被引用被引用:0
  • 點閱點閱:216
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
使用體素內不同調運動磁共振影像這項技術,可以同時得到兩種擴散係數,第一種是組織間水分子的擴散係數 (D);另一個是在微血管網絡中,微血流的不同調流動的擴散係數 (D*)。然而,在相關的文獻中,所得到的肝組織D*數值彼此並不一致。此論文旨在探討在使用3T MR system的狀況下,健康的肝組織中D*數值的再現性。影響D*數值的因素可能包括: 影像訊雜比、b值的數目和感興趣區域的血管。在本論文中,我們提出修正版的曲線擬合方法,並搭配評估擬合錯誤的機制來進行分析。藉由這兩種方法,結果發現在平均六次的影像中,D*數值的再現性有相當的改善。未來相關研究可以使用此種分析方法,但仍需最佳化此技術的掃描時間。

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging (IVIM DW MRI) is a technique that can quantitatively assess both the water molecular diffusion in static tissues (true diffusion coefficient, D) and the incoherent motion of blood water molecules in capillary networks due to perfusion (pseudo-diffusion coefficient, D*). However, D* value in liver parenchyma appears to be of high uncertainty among literatures. The aim of this study is to determine the reproducibility of D* in normal liver at 3T, considering SNR, b value sampling numbers and the existence of large vessel in ROI. A modified fit approach combined with an error evaluation method was proposed. Through the proposed method, the reproducibility of D* in 6-time-averaged liver images improved. Future studies can utilize this procedure for IVIM liver investigation while the scanning time can still be further optimized.

誌謝 i
摘要 iii
Abstract iv
Contents v
List of Figures vii
List of Tables viii
Chapter 1 Introduction 1
1.1 DW-MRI 1
1.2 IVIM DW-MRI 1
1.3 Liver IVIM DW MRI 3
Chapter 2 Materials and Methods 5
2.1 Study population 5
2.2 MR Imaging 5
2.3 Image analysis 7
2.3.1 Selection of the region of interest (ROI) 7
2.3.2 NLLS fitting method 8
2.3.3 Estimating the feasibility of the proposed method 8
2.4 Statistical analysis 9
Chapter 3 Results 10
3.1 Feasibility estimation 10
3.2 Reproducibility: CV of D, D* and pf 17
3.3 Reproducibility: Bland-Altman analysis 20
Chapter 4 Discussion 24
Reference 27


1.Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168(2): 497–505.
2.Ichiro Yamada, Winn Aung, Yoshiro Himeno, Tsuneaki Nakagawa, Hitoshi Shibuya. Diffusion Coefficients in Abdominal Organs and Hepatic Lesions: Evaluation with Intravoxel Incoherent Motion Echo-planar MR Imaging. Radiology 1999;210(3): 617–623.
3.Alain Luciani, Alexandre Vignaud, Madeleine Cavet, Jeanne Tran Van Nhieu, Ariane Mallat, Lucile Ruel, Alexis Laurent, Jean-Franc¸ois Deux, Pierre Brugieres, Alain Rahmouni. Liver Cirrhosis: Intravoxel Incoherent Motion MR Imaging—Pilot Study. Radiology 2008; 249(3): 891-899.
4.Jignesh Patel, Eric E. Sigmund, Henry Rusinek, Marcel Oei, James S. Babb, Bachir Taouli. Diagnosis of Cirrhosis With Intravoxel Incoherent Motion Diffusion MRI and Dynamic Contrast Enhanced MRI Alone and in Combination:Preliminary Experience. J. Magn. Reson. Imaging 2010;31(3): 589–600.
5.Boris Guiu, Jean-Michel Petit, Violaine Capitan, Serge Aho, David Masson, Pierre-Henri Lefevre, Sylvain Favelier, Romaric Loffroy, Bruno Vergès, Patrick Hillon, Denis Krausé, Jean-Pierre Cercueil. Intravoxel Incoherent Motion Diffusion-weighted Imaging in Nonalcoholic Fatty Liver Disease: A 3.0-T MR Study. Radiology 2012;265(1): 96-103.
6.Suguru Kakite, Hadrien Dyvorne, Cecilia Besa, Nancy Cooper, Marcelo Facciuto, Claudia Donnerhack, Bachir Taouli. Hepatocellular carcinoma: short-term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0T. J Magn Reson Imaging 2015;41(1): 149-156.
7.Jean-Pierre Cercueil, Jean-Michel Petit, Stéphanie Nougaret, Philippe Soyer, Audrey Fohlen, Marie-Ange Pierredon-Foulongne, Valentina Schembri, Elisabeth Delhom, Sabine Schmidt, Alban Denys, Serge Aho, Boris Guiu. Intravoxel incoherent motion diffusion-weighted imaging in the liver: comparison of mono-, bi- and tri-exponential modelling at 3.0-T. Eur Radiol 2015;25: 1541–1550.
8.A. Andreou, D. M. Koh, D. J. Collins, M. Blackledge, T.Wallace, M. O. Leach, M. R. Orton. Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases. Eur Radiol 2013;23(2): 428-434.
9.J. Martin Bland, Douglas G. Altman. Statistical method for assessing agreement between two methods of clinical measurement. Lancet 1986;1: 307-310.
10.Hadrien A. Dyvorne, Nicola Galea, Thomas Nevers, M. Isabel Fiel, David Carpenter, Edmund Wong, Matthew Orton, Andre de Oliveira, Thorsten Feiweier, Marie-Louise Vachon, James S. Babb, Bachir Taouli. Diffusion-weighted Imaging of the Liver with Multiple b Values: Effect of Diffusion Gradient Polarity and Breathing Acquisition on Image Quality and Intravoxel Incoherent Motion Parameters—A Pilot Study. Radiology 2013;266(3): 920-929.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top