by Young Lee Kei, Ricky. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaves 205-207). / Abstract also in Chinese. / Acknowledgements --- p.i / Statement of Originality --- p.ii / Abstract --- p.iii / Chapter Chapter 1 --- Introduction / Chapter 1.1 --- Anatomy of liver --- p.1 / Chapter 1.2 --- Anatomical Implications --- p.16 / Chapter Chapter 2 --- Background / Chapter 2.1 --- Common focal hepatic lesions --- p.21 / Chapter 2.2 --- Imaging techniques --- p.28 / Chapter 2.3 --- Characterization by sonography --- p.34 / Chapter 2.4 --- Color Power Angiography --- p.38 / Chapter Chapter 3 --- Hypothesis & Aims / Chapter 3.1 --- Hypothesis --- p.44 / Chapter 3.2 --- Aims & Objectives --- p.45 / Chapter Chapter 4 --- Material and Methods / Chapter 4.1 --- Materials --- p.47 / Chapter 4.2 --- Mode of confirmation --- p.52 / Chapter 4.3 --- Final number of subjects recruited --- p.54 / Chapter 4.4 --- Method for obtaining CD and CPA image --- p.58 / Chapter 4.5 --- Method for image analysis --- p.61 / Chapter 4.6 --- Statistical analysis --- p.68 / Chapter Chapter 5 --- Results / Chapter 5.1 --- Qualitative CD and CPA images assessment --- p.70 / Chapter 5.2 --- Interobserver qualitative analysis --- p.78 / Chapter 5.3 --- Spectral analysis --- p.84 / Chapter 5.4 --- Semi-quantitative signal parameters --- p.87 / Chapter 5.5 --- Dominance of quantified signals --- p.91 / Chapter 5.6 --- Distribution of signals in various lesions (graphical presentation) --- p.97 / Chapter 5.7 --- Penetrating vessel --- p.103 / Chapter 5.8 --- Relationship between size of lesion and quantified signal parameters --- p.104 / Chapter Chapter 6 --- Discussion / Chapter 6.1 --- Study Review --- p.109 / Chapter 6.2 --- Methods of quantitation --- p.110 / Chapter 6.3 --- Value of quantitation --- p.111 / Chapter 6.4 --- Instrumentation --- p.112 / Chapter 6.5 --- Subjects --- p.114 / Chapter 6.6 --- Image analysis --- p.115 / Chapter 6.7 --- Results --- p.117 / Chapter 6.8 --- Relationship between size and amount of signals --- p.131 / Chapter 6.9 --- Differentiation of focal hepatic lesions --- p.132 / Chapter 6.10 --- Origin of CPA signals in small hyperechoic lesions --- p.144 / Chapter 6.11 --- Limitations of CPA in focal hepatic lesion imaging --- p.146 / Chapter 6.12 --- Comparison with similar studies --- p.151 / Chapter 6.13 --- Validation of quantitation results --- p.158 / Chapter Chapter 7 --- Conclusions --- p.159 / References --- p.162 / Legends --- p.176 / Tables --- p.186 / Glossary of abbreviations --- p.193 / Selected publications relevant to thesis --- p.197 / Appendix --- p.198 / Bibliography --- p.205

In the brain mapping case, the geodesic closest points are used as the anatomical constraints for the inter-subject non-rigid registration. The method uses the anatomical constraint in the non-rigid registration which is much more reasonable for the anatomical correspondence. The registration result shows significant improvement comparing with the iterative closest points based method. / In the third application, we use the non-rigid registration method to register the different sweeps of freehand ultrasound images. We setup a 3D freehand ultrasound imaging system to capture images of a human anatomy such as liver, prostate, brain tumor and fetus. The arbitrary scanned image slices are reconstructed and resliced into volumetric dataset. We use a B-spline based non-rigid registration method to compounding different freehand ultrasound sweeps. This technique can be used to make 3D ultrasound models of fetus and other organs. / Medical image registration is an active research area during the last two decades. The registration technique can be widely used in the applications of the computer aided surgery, brain mapping and pathological detection and analysis. With the development of the computing power, fast and accurate registration techniques have been developed into necessary tools for quantitative analysis of the medical image. / Non-rigid registration methods can be used in atlas based image segmentation, inter-subject brain image registration and 3D freehand ultrasound modeling. In one of our proposed novel segmentation methods, we interleave the segmentation and the registration processes by using the segmentation to provide the anatomical constraints for registration to improve the atlas based non-rigid registration. This updated registration can be used to improve the new segmentation. This process is repeated until a good result in segmentation is obtained. / The registration methods can be classified into rigid and non-rigid registrations according to whether the anatomy is locally deformed or not. According to the sensor by which the images are taken, the registration will be divided into mono-modal and multi-modal image registration. Since the invention of the medical imaging devices, great diversity of medical imaging sensors have been developed with different physical principles. In practice we have to face the problem of multi-modal registration. In medical image analysis, we often have to consider the images of the human anatomy with deformable characteristics. In order to achieve this goal we need to use the voxel based registration method which considers all of the voxel information of the images in matching. There are several non-rigid registration approaches. However, the variational approach of non-rigid registration can represent the registration problem into a well-posed problem with a well-founded mathematical base. In our work, we considered the forward and backward deformation functions and proposed a variational approach for a new consistent multi-modal non-rigid registration method. By this way, we will find the forward and backward transform to be close to the inverse of each other. This makes the correspondence between two images more consistent and accurate. We use both explicit and implicit difference method to solve the Euler-Lagrange equation and the results show significant improvements in the transformation inverse consistency. Although variational approach for multi-modal non-rigid registration can solve the non-rigid registration problem well, generally speaking, it is slow. The displacement of each voxel has to be calculated and the iteration time is very long since the number of the unknowns are large. Although a multi-resolution strategy can be used to speed up, the registration problem is still slow when registering large medical datasets. The 3D B-spline based method has been used as an efficient method to register medical images since only a small number of control points are used to manipulate the local deformation field. In our work, we developed a 3D B-spline based consistent multi-modal non-rigid registration method with an explicit representation of derivatives. The conventional optimization methods can be used to find the optimal parameters. We use a hierarchical B-spline refinement method to approximate the deformation function from larger to smaller scale. Since the derivatives of the cost function is represented in an explicit way, the computing is reduced. It is more efficient than directly computing the derivative of the cost function by using a numerical evaluation method. The method can be considered as a multi-grid method for solving the consistent variational registration problem. The computing speed is increased by several times. The B-spline based method needs far less iterations to converge as its number of unknowns is small. / Zhang Zhijun. / "October 2005." / Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6645. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (p. 209-233). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Sy, Ming Yiu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (p. 95-100). / Abstracts in English and Chinese. / Abstract --- p.1 / Acknowledgments --- p.5 / List of figures --- p.9 / List of tables --- p.13 / List of abbreviations --- p.14 / List of publications and awards --- p.15 / Awards --- p.16 / Chapter Chapter 1 --- Introduction --- p.17 / Chapter 1.1 --- Terahertz radiation --- p.18 / Chapter 1.1.1 --- Terahertz sources --- p.19 / Chapter 1.1.2 --- Terahertz systems --- p.20 / Chapter 1.1.3 --- Reflection and Transmission geometries --- p.21 / Chapter 1.2 --- Terahertz biomedical applications --- p.24 / Chapter 1.2.1 --- Biomolecules --- p.24 / Chapter 1.2.2 --- THz biomedical imaging --- p.25 / Chapter 1.2.3 --- THz Spectroscopy --- p.26 / Chapter 1.3 --- Objectives --- p.26 / Chapter 1.4 --- Structure of this thesis --- p.26 / Chapter Chapter 2 --- Theory and experimental system --- p.28 / Chapter 2.1 --- Theory --- p.28 / Chapter 2.1.1 --- Propagation of electromagnetic field through dielectric media --- p.29 / Chapter 2.1.2 --- A de-noising method --- p.32 / Chapter 2.1.3 --- Baseline calculation --- p.34 / Chapter 2.1.4 --- Frequency-dependent Refractive Index and Absorption Coefficient.. --- p.37 / Chapter 2.2 --- Experimental Configuration --- p.41 / Chapter 2.2.1 --- Terahertz generation and detection --- p.41 / Chapter 2.2.2 --- Configuration of our system --- p.44 / Chapter 2.2.3 --- Hand-held TPI Setup --- p.46 / Chapter 2.3 --- Data Structure --- p.48 / Chapter 2.4 --- Pre-processing and the user interface --- p.49 / Chapter 2.4.1 --- Data pre-processing 1 (Chopping) --- p.49 / Chapter 2.4.2 --- Data pre-processing 2 (Angle selection) --- p.50 / Chapter 2.4.3 --- The user interface for the data processing --- p.52 / Chapter Chapter 3 --- Ex-v/vo experiment: investigating the origin of contrast --- p.54 / Chapter 3.1 --- Liver Cirrhosis --- p.54 / Chapter 3.1.1 --- Liver --- p.54 / Chapter 3.1.2 --- Liver cirrhosis --- p.54 / Chapter 3.1.3 --- The trend of liver cirrhosis --- p.56 / Chapter 3.1.4 --- Technique for diagnosing liver cirrhosis --- p.57 / Chapter 3.2 --- Experiment protocol --- p.58 / Chapter 3.2.1 --- Formalin fixing --- p.58 / Chapter 3.2.2 --- Sample preparation --- p.58 / Chapter 3.2.3 --- Formalin fixing protocol --- p.60 / Chapter 3.2.4 --- Histopathology --- p.61 / Chapter 3.2.5 --- Protocol for measuring sample water content --- p.61 / Chapter 3.3 --- Results and discussion --- p.62 / Chapter 3.3.1 --- Optical parameters of the fresh and fixed samples --- p.62 / Chapter 3.3.2 --- Consistency with previous results --- p.63 / Chapter 3.3.3 --- The relationship between water content and optical parameters --- p.64 / Chapter 3.3.4 --- Conclusion --- p.68 / Chapter Chapter 4 --- In-vivo experiment: imaging of human skin --- p.69 / Chapter 4.1 --- Human skin --- p.69 / Chapter 4.1.1 --- The structure of human skin --- p.69 / Chapter 4.1.2 --- Skin thickness --- p.70 / Chapter 4.1.3 --- The structure and regeneration of stratum corneum --- p.70 / Chapter 4.1.4 --- Stratum corneum related Skin disease --- p.72 / Chapter 4.2 --- Combing reflections of electromagnetic wave --- p.73 / Chapter 4.3 --- Experiment protocol --- p.74 / Chapter 4.3.1 --- THz response of human skin --- p.74 / Chapter 4.3.2 --- Protocol for measuring human skin --- p.75 / Chapter 4.4 --- Results and discussion --- p.76 / Chapter 4.4.1 --- The variation due to the position --- p.76 / Chapter 4.4.2 --- The variation due to the temperature and humidity --- p.78 / Chapter 4.4.3 --- Discussion --- p.79 / Chapter Chapter 5 --- Noise evaluation --- p.80 / Chapter 5.1 --- The main noise source --- p.80 / Chapter 5.2 --- SNR and DR --- p.80 / Chapter 5.2.1 --- Signal to noise ratio (SNR) --- p.80 / Chapter 5.2.2 --- Dynamic range (DR) --- p.81 / Chapter 5.2.3 --- SNRVS DR --- p.82 / Chapter 5.3 --- Simulation of noise impact on the complex refractive index --- p.83 / Chapter 5.3.1 --- Methodology --- p.83 / Chapter 5.3.2 --- SNR: Simulation results and discussions --- p.85 / Chapter 5.3.3 --- DR: Simulation results and discussions --- p.87 / Chapter 5.3.4 --- Conclusion --- p.89 / Chapter Chapter 6 --- Conclusion and future work --- p.90 / Chapter 6.1 --- Conclusion --- p.90 / Chapter 6.1.1 --- A summary of Terahertz pulsed imaging (TPI) techniques --- p.90 / Chapter 6.1.2 --- Our system and calculations --- p.90 / Chapter 6.1.3 --- Terahertz spectroscopy of liver cirrhosis: investigating the origin of contrast --- p.91 / Chapter 6.1.4 --- In-v/vo study: skin measurement --- p.91 / Chapter 6.1.5 --- SNR sensitivity --- p.92 / Chapter 6.2 --- Suggestions for future work --- p.92 / Chapter 6.2.1 --- Algorithms --- p.92 / Chapter 6.2.2 --- Understanding the origin of contrast --- p.93 / Chapter 6.2.3 --- Application in cardiovascular diagnosing imaging --- p.93 / Chapter 6.3 --- Concluding remarks --- p.94 / References --- p.95

Tsang, Man Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 57-60). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese.

無線膠囊內窺鏡（CE）是一種用於檢查整個胃腸道，尤其是小腸的無創技術。它極大地改善了許多小腸疾病的診斷和管理方式，如不明原因的消化道出血，克羅恩病，小腸腫瘤，息肉綜合征等。儘管膠囊內窺鏡有很好的臨床表現，但它仍然有一定的局限性。主要問題是每次檢查產生約50,000 幅低質量的圖像，對於醫生來說，評估如此大量的圖像是一項非常耗時、耗力的工作。 / 到目前為止，對於膠囊內窺鏡的分析和評估，學者們都把膠囊內窺鏡圖像視為單獨的，獨立的觀測對象。事實並非如此，因為圖像之間往往有顯著的重疊。特別是當膠囊內窺鏡在被小腸蠕動緩緩推動時，它可以捕捉同一病灶的多個視圖。我們的研究目的是使用所有可用的資訊，包括多幅圖像，研究對於膠囊內窺鏡的電腦輔助診斷（CAD）系統。 / 在這篇論文中，我們提出了一個嵌入分類器的多類隱馬爾可夫模型（HMM）的方案，它可以融合多幅相鄰圖像的時間資訊。由於膠囊內窺鏡圖像的品質比較低，我們首先進行預處理，以加強膠囊內窺鏡圖像，增加其對比度，消除噪聲。我們調查研究了多種圖像增強的方法，並調整了它們的參數使其適用於膠囊內窺鏡圖像。 / 對於基於單幅圖像的有監督的分類，AdaBoost 作為一個集成分類器來融合多個分類器，即本論文中的支持向量機（SVM），k-近鄰（k-NN），貝葉斯分類。在分類之前，我們提取和融合了顏色，邊緣和紋理特徵。 / 對於無線膠囊內窺鏡的視頻摘要，我們提出了有監督和無監督的兩類方法。對於有監督方法，我們提出了一個基於隱馬爾可夫模型的，靈活的，可擴展的框架，用於整合膠囊內窺鏡中連續圖像的時間資訊。它可以擴展到多類別，多特徵，多狀態。我們還提出了聯合隱馬爾可夫模型和並行隱馬爾可夫（PHMM）模型對系統進行改進，它們可以被看作是決策級的資訊融合。聯合隱馬爾可夫模型通過多層次的隱馬爾可夫模型，結合不同的資訊來源，對膠囊內窺鏡視頻進行分類和視頻摘要。 並行隱馬爾可夫模型採用貝葉斯推理，在決策時融合多個不同來源的資訊。對於無監督的方法，我們首先提出了一種基於顏色的特徵提取方法。在反色顏色空間中對亮度不變的色度不變矩用來表示膠囊內窺鏡圖像的顏色特徵。接著，我們又提出了一種基於輪廓元（Contourlet）變換的局部二元模式（LBP）作為紋理特徵。在特徵空間中，我們測量了相鄰圖像的距離，並把它視為一個位於二維平面上的開放輪廓上的點。 然後，我們採用一個無參數的關鍵點檢測方法檢測在視頻片段上的突變關鍵點。基於這些突變關鍵點，我們對膠囊內窺鏡視頻進行分割。最後，在每段被分割的視頻片段上，我們通過提取有代表性的關鍵幀來實現膠囊內窺鏡視頻摘要。我們分別用模擬和真實的病人數據進行實驗，對提出的方法進行驗證，結果表明了我們所提出的方案的有效性。它在實現自動評估膠囊內窺鏡圖像上具有很大的潛力。 / Wireless Capsule Endoscopy (CE) is a non-invasive technology to inspect the whole gastrointestinal (GI) tract, especially the small intestine. It has dramatically changed the way of diagnosis and management of many diseases of the small intestine, such as obscure gastrointestinal bleeding, Crohn’s disease, small bowel tumors, polyposis syndromes, etc. Despite its promising clinical findings, it still has some limitations. The main problem is that it requires manual assessment of approximately 50,000 low quality images per examination which is highly time-consuming and labor-intense. / CE analysis and assessment so far treated CE images as individual and independent observations. It is obviously not the case as there is often significant overlap among images. In particular, CE captures multiple views of the same anatomy as the capsule is slowly propelled by peristalsis. Our broader work aims to perform computer aided diagnosis (CAD) in endoscopy using all available information, including multiple images. / In this dissertation, a framework of multi-class Hidden Markov Models (HMM) embedded with statistical classifiers for combining information from multiple CE images is proposed. Due to the low quality of CE image, pre-processing is performed to enhance CE images by increasing the contrast and removing noises. Several image enhancement methods are investigated and customized for CE images. For frame-based supervised classification, AdaBoost is used as the ensemble classifier to combine multiple classifiers, i.e. support vector machine (SVM), k-nearest neighbor (k-NN), and Bayes classifier. Before classification, color, edge and texture features are extracted and fused. Finally, both supervised and unsupervised methods are proposed for CE study synopsis. For supervised method, a flexible and extensible framework based on HMM is developed to integrate temporal information in CE images. It can be extended to multi-class, multi-features, and multi-states. Improvements can be made by combined HMM and Parallel HMM (PHMM) which are introduced as decision-level fusion schemes. Combined HMM considers different sources via a multi-layer HMM model to perform classification and video synopsis. PHMM employs Bayesian inference to combine the recognition results at decision level. For unsupervised method, illumination-independent opponent color moment invariants and local binary pattern (LBP) based on Contourlet transform are explored as color and texture features, respectively. Pair-wise image dissimilarity is measured in the feature space and treated as points on an open contour in a 2-D plane. CE video is segmented based on sudden change points which are detected using a non-parametric key-point detection method. From each segment, representative frames are extracted to summarize the CE video. Validation results on simulated and real patient data show promising performance of the proposed framework. It has great potential to achieve automatic assessment for CE images. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Zhao, Qian. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 142-175). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese. / Abstract --- p.ii / Acknowledgments --- p.vii / List of Tables --- p.xiii / List of Figures --- p.xv / Chapter 1 --- The Relevance of Synopsis --- p.1 / Chapter 1.1 --- Problem Statement --- p.1 / Chapter 1.2 --- Application - Capsule Endoscopy Assessment --- p.4 / Chapter 1.3 --- Literature Review --- p.9 / Chapter 1.3.1 --- Methods Based on Frame Classification --- p.11 / Chapter 1.3.2 --- Methods Integrating Temporal Information --- p.14 / Chapter 1.4 --- Contributions --- p.19 / Chapter 1.5 --- Organization --- p.23 / Chapter 2 --- Preliminary --- p.25 / Chapter 2.1 --- Hidden Markov Model (HMM) --- p.25 / Chapter 2.2 --- Factorial HMM --- p.35 / Chapter 3 --- Temporal Integration in Capsule Endoscopy Image Analysis --- p.37 / Chapter 3.1 --- Pre-processing --- p.38 / Chapter 3.2 --- Feature Extraction --- p.43 / Chapter 3.3 --- Frame-based Supervised Classification --- p.47 / Chapter 3.3.1 --- Supervised Classification using Individual Frames --- p.47 / Chapter 3.3.2 --- Ensemble Learning Based on AdaBoost --- p.50 / Chapter 3.4 --- Sequence-based Supervised Classification --- p.52 / Chapter 3.5 --- Experiments --- p.58 / Chapter 3.5.1 --- Capsule Endoscopy Image Enhancement --- p.60 / Chapter 3.5.2 --- Frame-based Supervised Classification --- p.67 / Chapter 3.5.3 --- Image Sequence Classification --- p.68 / Chapter 3.6 --- Discussion --- p.80 / Chapter 3.7 --- Summary --- p.82 / Chapter 4 --- Capsule Endoscopy Study Synopsis --- p.98 / Chapter 4.1 --- Supervised Synopsis Using Statistical Models --- p.98 / Chapter 4.2 --- Unsupervised Synopsis via Representative Frame Extraction --- p.100 / Chapter 4.2.1 --- Feature Extraction --- p.100 / Chapter 4.2.2 --- Non-parametric Key-point Detection --- p.111 / Chapter 4.2.3 --- Representative Frame Extraction --- p.112 / Chapter 4.3 --- Experiments --- p.119 / Chapter 4.3.1 --- Supervised Synopsis Based on HMM --- p.119 / Chapter 4.3.2 --- Unsupervised Synopsis --- p.125 / Chapter 4.4 --- Discussion --- p.132 / Chapter 4.5 --- Summary --- p.133 / Chapter 5 --- Conclusions and Future Work --- p.138 / Chapter 5.1 --- Conclusions --- p.138 / Chapter 5.2 --- Future Work --- p.141 / Bibliography --- p.142

T1rho弛豫是旋轉坐標系中的自旋晶格弛豫，它決定橫向磁化向量在存有自旋鎖定射頻脈衝情況下的衰減，自旋鎖定脈衝與橫向磁化向量同向。T1rho磁共振成像對於低頻運動過程敏感，故可研究水與其周大分子物質環境間的交互作用，有鑒別組織內早期生化改變的潛力。 / 衰老與慢性高血壓是常見腦退行性疾病的兩個主要危險因素。但是正常腦衰老過程及慢性高血壓兩個因素與腦組織T1rho是否有相關性，尚缺乏研究。序貫性測量SD老鼠自5至15月齡、WKY（血壓正常）和SHR（患有自發性高血壓）老鼠自6至12月齡的雙側丘腦、海馬、和皮質的腦組織T1rho值。發現三組老鼠的丘腦、海馬及皮質的T1rho均隨年齡增長而增高；且SHR的顯著高於WKY老鼠。 / T1rho值與椎間盤退變等級的相關性已有報導。但相比T2值，T1rho在評價椎間盤退變方面是否優於或如何優於T2值尚缺乏研究。將椎間盤髓核及纖維環的T1rho和T2值與5級和8級椎間盤退變等級系統做比較；發現髓核的T1rho及T2與椎間盤退變等級的相關性均呈二次函數降低，且無顯著差別(P=0.40)。纖維環的T1rho及T2與椎間盤退變等級的相關性呈線性函數降低，T2降低的斜率明顯比T1rho降低的斜率要平坦(P<0.001)。故T1rho值比T2值更加適合評價纖維環退變，而兩者在評價髓核時相似。 / 肝纖維化是幾乎所有慢性肝病的常見特徵，包括大分子物質在細胞外基質的沉積。選用四氯化碳CCl4腹腔注射6周來製造肝纖維化模型。肝臟T1rho在注射後的第二天輕度上升，然後持續上升，直到注射六周後T1rho達最高值，此後T1rho隨CCl4注射停止而降低。顯示T1rho磁共振成像對於監測慢性注射CCl4誘導的肝纖維化及肝損傷有價值。當沒有明顯肝纖維化時，肝T1rho輕微受水腫及急性炎症的影響。 / 為將肝臟T1rho磁共振成像轉化到臨床使用，我們研究了其可行性，以及正常志願者肝臟T1rho值分佈範圍。發現採用六個自旋鎖定時間來測量健康志願者肝T1rho，結果有較高的可重複性和一致性，肝T1rho平均值為42.5ms，分佈範圍為38.8到46.5ms。採用三個自鎖鎖定時間點掃描，可以減少一半掃描時間，且可以得到可信的肝T1rho值，但採用兩個自旋鎖定時間點則不行。 / T1rho relaxation is spin-lattice relaxation in the rotating frame. It determines the decay of the transverse magnetization in the presence of a spin-lock radiofrequency pulse, which applied along the transverse magnetization. T1rho MRI is sensitive to low frequency motional processes, so it can be used to investigate the interaction between water molecules and their macromolecular environment. T1rho imaging is suggested to have the potential to identify early biochemical changes in tissues. / Aging and chronic hypertension are two major risk factors for common neurodegenerative disease. However, whether normal brain aging and chronic spontaneous hypertensive are associated with brain T1rho values changes were not reported. We longitudinally measured the T1rho value in rat brain of Sprague-Dawley (SD) rats from 5-month to 15-month, and spontaneous hypertensive rats (SHR) with Wistar Kyoto (WKY) rats from 6-month to 12-month. The T1rho values in three brain regions of thalamus, hippocampus, and cortices increased with aging process, and were significantly higher in SHR than WKY rats. / For intervertebral disc, the correlation between T1rho and degenerative grade has been reported. However, whether and how T1rho specifically offer better evaluation of disc degeneration compared with T2 was not studied previously. T1rho and T2 value of nucleus pulposus (NP) and annulus fibrosus (AF) was compared with reference to the five-level and eight-level semi-quantitative disc degeneration grading systems. For NP, T1rho and T2 decreased quadratically with disc degeneration grades and had no significant trend difference (P=0.40). In NP, T1rho and T2 decrease in a similar pattern following disc degeneration. For AF, T1rho and T2 decreased linearly and the slopes of T2 were significantly flatter than those of T1rho (P<0.001). Therefore, the T1rho is better suited for evaluating AF in degenerated disc than T2. / Liver fibrosis, a common feature of almost all causes of chronic liver disease, involves macromolecules accumulated within the extracellular matrix. Male Sprague-Dawley rats received intraperitoneal injection of 2 ml/kg CCl4 twice weekly for up to 6 weeks. Then CCl4 was withdrawn for recovery. The liver T1rho values increased slightly on day 2, then increased further and were highest at week 6 post CCl4 insults, and decreased upon the withdrawal of the CCl4 insult. This study demonstrated that T1rho MRI is a valuable imaging biomarker for liver injury and fibrosis induced by CCl4. Liver T1rho value was only mildly affected by edema and acute inflammation when there was no apparent fibrosis. / To translate liver T1rho MRI to clinical application, the technical feasibility of T1rho MRI in human liver was explored and the normal range of T1rho values in healthy volunteers was determined. We found it is feasible to obtain consistent liver T1rho measurement for healthy human liver with six spin-lock time (SLT) points of 1, 10, 20, 30, 40, and 50ms; the mean liver T1rho value of the healthy subjects was 42.5ms, with a range of 38.8-46.5ms. Adopting 3-SLT points of 1, 20, and 50ms for T1rho measurement could provide reliable measurement and reduce the scanning time, while 2-SLT points of 1 and 50ms do not provide reliable measurement. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Zhao, Feng. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 119-143). / Abstracts also in Chinese. / ABSTRACT --- p.i / ACKNOWLEDGEMENTS --- p.vi / LIST OF FIGURES --- p.viii / LIST OF TABLES --- p.xvi / LIST OF ABBREVIATIONS --- p.xvii / CONTENTS --- p.xxi / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Conventional Magnetic Resonance Imaging --- p.1 / Chapter 1.1.1 --- Basic Principle of Conventional Magnetic Resonance Imaging --- p.1 / Chapter 1.1.2 --- T1 Relaxation --- p.2 / Chapter 1.1.3 --- T2 Relaxation --- p.3 / Chapter 1.2 --- T1rho Magnetic Resonance Imaging --- p.3 / Chapter 1.2.1 --- T1rho Relaxation --- p.3 / Chapter 1.2.2 --- Principle of T1rho Magnetic Resonance Imaging --- p.4 / Chapter 1.2.3 --- Radiofrequency Pulse for T1rho Magnetic Resonance Imaging --- p.5 / Chapter 1.2.4 --- T1rho-weighted Contrast Imaging and Application --- p.10 / Chapter 1.2.5 --- Quantitative T1rho Mapping and Application --- p.11 / Chapter 1.2.6 --- T1rho Dispersion and Application --- p.13 / Chapter 1.3 --- Thesis Overview --- p.14 / Chapter Chapter 2 --- T1rho MRI in brain aging of animal model --- p.19 / Chapter 2.1 --- Introduction --- p.19 / Chapter 2.2 --- Materials and Methods --- p.20 / Chapter 2.2.1 --- Animal Model of Brain Aging --- p.20 / Chapter 2.2.2 --- T1rho Data Acquisition --- p.21 / Chapter 2.2.3 --- T1rho Data Processing --- p.23 / Chapter 2.2.4 --- T1rho Measurement and Statistical Analysis --- p.24 / Chapter 2.3 --- Results --- p.27 / Chapter 2.4 --- Discussion --- p.38 / Chapter 2.5 --- Summary --- p.42 / Chapter Chapter 3 --- T1rho MRI in lumbar disc degeneration of human subjects --- p.43 / Chapter 3.1 --- Introduction --- p.43 / Chapter 3.2 --- Methods --- p.45 / Chapter 3.2.1 --- Subjects --- p.45 / Chapter 3.2.2 --- MR Image Acquisition --- p.46 / Chapter 3.2.2.1 --- T2-weighted MRI --- p.46 / Chapter 3.2.2.2 --- T2 Mapping Imaging --- p.47 / Chapter 3.2.2.3 --- T1rho MRI --- p.47 / Chapter 3.2.3 --- Data Processing --- p.49 / Chapter 3.2.4 --- Data Measurement and Statistical Analysis --- p.49 / Chapter 3.3 --- Results --- p.52 / Chapter 3.3.1 --- Range of T1rho/T2 Values for Discs --- p.52 / Chapter 3.3.2 --- The Relationship between NP T1rho/T2 Values and 8-level Degeneration Grading of Discs --- p.52 / Chapter 3.3.3 --- The Relationship between NP T1rho/T2 Values and 5-level Degeneration Grading of Discs --- p.55 / Chapter 3.3.4 --- The Relationship between AF T1rho/T2 Values and 8-level Degeneration Grading of Discs --- p.58 / Chapter 3.3.5 --- The Relationship between AF T1rho/T2 Values and 8-level Degeneration Grading of Discs --- p.61 / Chapter 3.4 --- Discussion --- p.64 / Chapter 3.5 --- Summary --- p.69 / Chapter Chapter 4 --- T1rho MRI in rat liver fibrosis model induced by CCl4 insult --- p.71 / Chapter 4.1 --- Introduction --- p.71 / Chapter 4.2 --- Materials and Methods --- p.73 / Chapter 4.2.1 --- Animal Preparation --- p.73 / Chapter 4.2.2 --- MR Image Acquisition --- p.74 / Chapter 4.2.2.1 --- T2-weighted MRI --- p.75 / Chapter 4.2.2.2 --- T1rho MRI --- p.75 / Chapter 4.2.3 --- Data Processing --- p.76 / Chapter 4.2.4 --- Data Measurement and Statistical Analysis --- p.78 / Chapter 4.2.5 --- Histology Analysis --- p.79 / Chapter 4.3 --- Results --- p.80 / Chapter 4.3.1 --- T1rho Measurement Reproducibility --- p.80 / Chapter 4.3.2 --- Rat Liver T1rho Values at Different Time Phase --- p.81 / Chapter 4.3.3 --- Relative Rat Liver Signal Intensity on T2WI at Different Time Phase --- p.83 / Chapter 4.3.4 --- Histology Results --- p.84 / Chapter 4.4 --- Discussion --- p.86 / Chapter 4.5 --- Summary --- p.91 / Chapter Chapter 5 --- T1rho MRI in liver of healthy human subjects --- p.93 / Chapter 5.1 --- Introduction --- p.93 / Chapter 5.2 --- Methods --- p.95 / Chapter 5.2.1 --- Subjects --- p.95 / Chapter 5.2.2 --- MR Image Acquisition --- p.96 / Chapter 5.2.2.1 --- T2-weighted MRI --- p.96 / Chapter 5.2.2.2 --- T1rho MRI --- p.97 / Chapter 5.2.3 --- T1rho Data Processing --- p.99 / Chapter 5.2.4 --- T1rho Measurement --- p.100 / Chapter 5.3 --- Results --- p.102 / Chapter 5.3.1 --- T1rho Measurement Reproducibility --- p.105 / Chapter 5.3.2 --- T1rho Value Agreement of the Fasting Status with Post Meal Status --- p.105 / Chapter 5.3.3 --- T1rho Value Agreement for T1rho Maps Constructed by Different Spin-lock Time Points --- p.106 / Chapter 5.3.4 --- T1rho Value Range of Healthy Human Subjects --- p.108 / Chapter 5.4 --- Discussion --- p.108 / Chapter 5.5 --- Summary --- p.113 / Chapter Chapter 6 --- General discussion and further work --- p.115 / References: --- p.119 / LIST OF PUBLICATIONS --- p.138

O imageamento por tensor de difusão (DTI) por ressonância magnética (RM) é um método de aquisição recente e de utilização bastante reduzida nos serviços que possuem equipamentos os softwares paro DTI. A partir desta situação notou-se a necessidade de um guia para os profissionais envolvidos RM; que servisse como fonte de consulta para auxiliar na aquisição do DTI. Para criação deste guia um referencial fez necessário e foi obtido apenas como norteador por meio de um questionário aplicado a profissionais que trabalham com RM, de uma clínica de Curitiba. Através do questionário foi possível levantar que conceitos e parâmetros o guia poderia explanar, notoriamente precisando dar ênfase aos parâmetros básicos da técnica, as formas de reconstrução dos dados e as formas de visualização. O guia foi montado explicando o processo de aquisição do DTI, os principais parâmetros envolvidos e os termos comuns aos exames desta natureza. Também foram elaboradas 15 perguntas frequentes sobre o DTI, com tabelas de consulta rápida. O resultado final é um guia de fácil manuseio e entendimento que visa auxiliar os profissionais da área a pesquisarem, apreenderem e utilizarem a técnica de imageamento por tensor de difusão. Apesar de pronto, existe ainda a necessidade de introduzir o guia e coletar sugestões e ainda aprimorar os questionamentos iniciais aos profissionais da área de modo a enriquecer o guia. / Diffusion tensor imaging (DTI) by magnetic resonance (MR) is a recent method of acquisition whose utilization has been fairly reduced in services that use equipment with DTI software. From this situation, one observed the need to develop a guide for professionals involved in MR, which would serve as a reference source to assist in the acquisition of DTI. In order to make this guide, a reference was necessary to be given a steer and it was obtained through a questionnaire administered to professionals who work with MRI in a clinic in Curitiba. Through the questionnaire, it was possible to raise the concepts and parameters the guide could explain, especially emphasizing technique basic parameters, forms of data reconstruction and visualization forms. The guide was made explaining the acquisition of DTI, the main parameters involved and the common terms for these kinds of tests. In addition, 15 commonly asked questions about the DTI were prepared with quick reference tables. The final result is an easy-to-understand guide which aims to help the area professionals to search, apprehend and use the diffusion tensor imaging technique. Although it is ready, there is the need to introduce the guide and collect suggestions, and still, improve the professionals’ early questions to enhance the guide.