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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49171完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鍾孝文 | |
| dc.contributor.author | Meng-Chieh Liao | en |
| dc.contributor.author | 廖孟潔 | zh_TW |
| dc.date.accessioned | 2021-06-15T11:18:09Z | - |
| dc.date.available | 2016-08-26 | |
| dc.date.copyright | 2016-08-26 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-19 | |
| dc.identifier.citation | [1] Christian Federau, Kieran O’Brien, “Increased brain perfusion contrast with T2-prepared intravoxel incoherent motion (T2 prep IVIM) MRI,” NMR Biomed 28: 9–16 (2015).
[2] Leporq et al., “Optimization of Intra-voxel Incoherent Motion Imaging at 3.0 Tesla for Fast Liver Examination,” Journal of Magnetic Resonance Imaging 41:1209– 1217 (2015) [3] Hadrien Dyvorne , Guido Jajamovicha,1, Suguru Kakitea,2, Bernd Kuehnb, Bachir Taouli, “Intravoxel incoherent motion diffusion imaging of the liver: Optimal b-value subsampling and impact on parameter precision and reproducibility,” European Journal of Radiology 83:2109–2113 (2014) [4] Dyvorne et al., “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 266 number 3: 920-929 (2013) [5] Luciani et al., “Liver Cirrhosis: Intravoxel Incoherent Motion MR Imaging—Pilot Study,” Radiology 249 number 3: 891-899 (2008) [6] Lee et al., “Intravoxel Incoherent Motion Diffusion-weighted MR Imaging of the Liver: Effect of Triggering Methods on Regional Variability and Measurement Repeatability of Quantitative Parameters,” Radiology 247 number 2: 405-415 (2015) [7] Jeff L. Zhang,* Eric E. Sigmund, Henry Rusinek, Hersh Chandarana, Pippa Storey, Qun Chen, and Vivian S. Lee, “Optimization of b-Value Sampling for Diffusion-Weighted Imaging of the Kidney,” Magnetic Resonance in Medicine 67:89–97 (2012) [8] Le Bihan et al., “Separation of Diffusion and Perfusion in Intravoxel Incoherent Motion MR Imaging,” Radiology, 168:497–505 (1988). [9] J.-P. Cercueil . J.-M. Petit et al., “Intravoxel incoherent motion diffusion-weighted imaging in the liver: comparison of mono-, bi- and tri-exponential modelling at 3.0-T,” Eur Radiol, 25:1541–1550 (2015). [10] A. Andreou & D. M. Koh & D. J. Collins & M. Blackledge & T. Wallace & M. O. Leach & M. R. Orton, “Measurement reproducibility of perfusion fractionand pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases,” Eur Radiol 23:428–434 (2013) [11] Dijkstra H, Baron P, Kappert P, Oudkerk M, Sijens PE, “Effects of microperfusion in hepatic diffusion weighted imaging,” Eur Radiol 22:891–899 (2012) [12] Hayashi T, Miyati T, Takahashi J et al., “Diffusion analysis with triexponential function in hepatic steatosis,” J Magn Reson Imaging 38: 148–153 (2013) [13] Patel J, Sigmund EE, Rusinek H, Oei M, Babb JS, Taouli B, “Diagnosis of Cirrhosis With Intravoxel Incoherent Motion Diffusion MRI and Dynamic Contrast- Enhanced MRI Alone and in Combination: Preliminary Experience,” J Magn Reson Imaging 31:589–600 (2010) [14] Lemke A, Stieltjes B, Schad LR, Laun FB, “Toward an optimal distribution of b values for intravoxel incoherent motion imaging,” Magnetic Resonance Imaging 29:766–776 (2011) [15] Wu WC, Chen YF, Tseng HM, Yang SC, My PC, “Caveat of measuring perfusion indexes using intravoxel incoherent motion magnetic resonance imaging in the human brain,” Eur Radiol 25:2485-2492 (2015) [16] Wu WC, Yang SC, Chen YF, Tseng HM, My PC, “Simultaneous assessment of cerebral blood volume and diffusion heterogeneity using hybrid IVIM and DK MR imaging: initial experience with brain tumors,” Eur Radiol DOI 10.1007/s0030-016-4772-z [17] Pekar J, Moonen CT, van Zijl PC, :On the precision of diffusion/perfusion imaging by gradient sensitization,” Magn Reson Med 23:122–129 (1992) | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/49171 | - |
| dc.description.abstract | 本篇研究的目的是要探討使用不同調運動磁共振影像(IVIM)這項技術時, 在不同設定的低 b 因子之下,對於量測人體肝臟不同調流體擴散係數(D*)的影 響。此研究經人體試驗審查委員會核准,使用飛利浦 3 特斯拉的磁共振儀進行 14 位(男/女 6/8, 平均年齡 26.81±4.62 歲)受試者的掃描。實驗收取了 16 個 b 值(0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 400, 800 s/mm2) 下的影像,並使用呼 吸導航降低呼吸運動對實驗的影響。利用 Matlab 軟體,自制非線性最小二乘法 (NLLS fitting)之程式,將不同 b 值之下收取到的信號強度套入 IVIM 的雙指數 衰減公式,進而得到三個 IVIM 的參數。實驗結果顯示,使用不同數目的低 b 值做 擬合計算時,會計算出不同數值的 IVIM 參數。造成計算所得的 IVIM 參數不穩定 的原因,可能為低訊雜比,呼吸運動的影響,或其他不確定因素。模擬的實驗結 果指出若影像訊雜比低於 50,就可能無法得到穩定的 D*參數。為了能得到可重復 性更好的 IVIM 參數,訊雜比的增強及呼吸調控的方法是未來可以再討論的主題。 | zh_TW |
| dc.description.abstract | The purpose of this study was to investigate the effects of low b-value settings on the estimation of pseudo-diffusion coefficient D* in human liver IVIM MR imaging. In this IRB approved study, 14 subjects (M/F 6/8, mean age 26.81±4.62 y) underwent IVIM diffusion-weighted magnetic resonance imaging on a Philip 3T scanner using sixteen b values (0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 400, 800 s/mm2) with navigator to reduce influences from respiratory motion. Signals as a function of b-value were used to derive three parameters in IVIM equation by nonlinear least squared (NLLS) fitting. All data processing was carried out by self-designed Matlab scripts in bi-exponential decay equation. The results showed that using different number of low b values would obtain different calculated IVIM parameters. The reason of unstable results in calculated IVIM parameters may be caused by low signal to noise ratio (SNR), respiration control method, or other uncertain factors. Simulation results showed that D* were not stable if SNR is under 50. The improvement of SNR and breathing control could be further discussed to obtain more reproducible IVIM parameters. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T11:18:09Z (GMT). No. of bitstreams: 1 ntu-105-R03945037-1.pdf: 2120906 bytes, checksum: d5903813f1aee29f6ebb51af6531e2ff (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 中文摘要 iv ABSTRACT v CONTENTS vii LIST OF FIGURES viii LIST OF TABLES ix Chapter 1 Introduction 1 1.1 Liver perfusion 1 1.2 DW-MRI 3 1.3 IVIM DW-MRI 4 Chapter 2 Materials and Methods 8 2.1 Simulation 8 2.1.1 SNR adjustment in 16 b-values 8 2.1.2 SNR adjustment in certain b-values 8 2.2 Clinical data for IVIM parameter experiment 9 2.3 Image analysis 11 2.3.1 Region of Interest (ROI) 11 2.3.2 NLLS fitting methods 11 2.3.3 Feasibility estimation of IVIM parameters 12 2.3.4 Feasibility estimation of IVIM reproducibility 17 2.3.5 Reproducibility measurement 19 2.3.6 Measurement of signal to noise ratio (SNR) 19 2.4 Clinical data for respiration control experiment 20 Chapter 3 Results 21 3.1 Simulation results 21 3.2 Comparison of IVIM parameters 29 3.3 Reproducibility: CV of D*, D and f 31 3.4 Measurement of SNR 33 3.5 Respiration control experiment 35 Chapter 4 Discussion 37 4.1 SNR factor 37 4.2 Respiration control factor 38 4.3 Other factors 39 REFERENCE 41 | |
| dc.language.iso | en | |
| dc.title | 利用不同設定的參數 b 值估計體素內不同調運動磁共振肝臟造影的微灌流參數 | zh_TW |
| dc.title | Estimation of pseudo-diffusion coefficient D* using different settings of low b-values in liver IVIM imaging | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 彭旭霞,王昭穎,蔡尚岳,黃騰毅 | |
| dc.subject.keyword | 擴散加權磁共振影像,不同調運動磁共振影像,不同調流體擴散係數,訊雜比,呼吸導航, | zh_TW |
| dc.subject.keyword | Diffusion-weighted magnetic resonance imaging (DW-MRI),Intravoxel Incoherent Motion (IVIM),Pseudo-diffusion coefficient D,Signal to noise ratio (SNR),navigator, | en |
| dc.relation.page | 43 | |
| dc.identifier.doi | 10.6342/NTU201602702 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-20 | |
| 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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