高清纤维束成像定量研究颅内肿瘤及其周围区域神经纤维关系

发布时间：2018-01-31 20:09

本文关键词： 高清纤维成像颅内肿瘤皮质脊髓束弓状纤维束定量各向异性　出处：《中南大学》2014年博士论文　论文类型：学位论文

【摘要】：目的目前弥散张量成像广泛应用于神经系统疾病的诊断与治疗当中,.但是由于其不能很好的对交叉神经纤维及颅内肿瘤周围区域的神经纤维进行追踪,因此限制了其进一步发展。高清纤维成像(HDFT)利用更高的空间分辨率及弥散敏感梯度,能够很好的解决上述问题,本研究利用高清纤维成像定性定量研究颅内肿瘤与周围神经的关系,为临床颅内肿瘤病人提供新的诊断、治疗、判断预后的手段。方法 1.通过弥散扩散谱成像(DSI)序列扫描正常人,广义Q空间(GQI)重建,DSI studio软件行皮质脊髓束、弓状纤维束追踪,分析两侧大脑皮质脊髓束、弓状纤维束定量各向异性(QA)值的相对变化范围； 2.通过DSI序列扫描肿瘤病人,GQI重建,DSI studio软件行纤维束追踪,定性分析皮质脊髓束、弓状纤维束与肿瘤的位置关系(挤压或者破坏),定量分析皮质脊髓束、弓状纤维束的QA值的变化,建立神经纤维束定性定量分析与病人临床体征之间的关系； 3.通过DSI序列扫描肿瘤病人,选取弥散敏感系数(b值)位于100-4000s/mm2内的采样数据进行GQI重建,DSI studio软件行全脑纤维束,交叉纤维束,肿瘤周围纤维束追踪,定性与定量分析不同b值采样数据重建所得纤维追踪之间的差别,探索通过优化b值减少HDFT采样时间的可行性；结果 1. HDFT能很好的显示正常人皮质脊髓束、弓状纤维束及其所连接的功能区,并确定出左右两侧大脑皮质脊髓束、弓状纤维束QA值的相对变化范围； 2. HDFT能很好的显示肿瘤水肿区域的神经纤维,并能定性与定量显示肿瘤与神经纤维之间的关系,从而指导临床手术,同时,QA值的变化也能很好的对患者的临床体征进行判断； 3.选取b值位于100-4000s/mm2的采样数据进行纤维追踪同样能够很好的对肿瘤水肿区域的神经纤维进行成像,同时也能准确的进行定性与定量分析,并判断病人的临床体征,可以通过调整b值采样范围来减少HDFT采样时间；结论 1. HDFT能正确的对肿瘤周围区域神经纤维进行成像； 2. HDFT能正确的的对肿瘤与神经纤维之间的关系进行定性与定量分析,判断病人临床体征； 3. HDFT采样时间能通过调整b值来进行优化；
[Abstract]:Purpose At present diffusion Zhang Liang imaging is widely used in the diagnosis and treatment of nervous system diseases. However it can not track the cross-nerve fibers and the nerve fibers around intracranial tumors. Therefore, the further development of HDFTs is limited. HDFTs can solve these problems well by using higher spatial resolution and diffusion-sensitive gradient. In this study, the relationship between intracranial tumors and peripheral nerves was studied qualitatively and quantitatively by high-definition fiber imaging, which provided a new method of diagnosis, treatment and prognosis for clinical patients with intracranial tumors. Method 1. DSI studio software was used to reconstruct the corticospinal tract and the arcuate fibrous tract. The range of quantitative anisotropy (QA) of bilateral corticospinal tract and arcuate fiber bundle was analyzed. 2.DSI studio software was used to track and qualitatively analyze the corticospinal tract by DSI sequence scanning in tumor patients. The relationship between arcuate fiber bundle and tumor location (squeezing or destroying) quantitative analysis of the change of QA value of corticospinal tract and arcuate fiber bundle. To establish the relationship between the qualitative and quantitative analysis of nerve fiber bundle and the clinical signs of patients. 3. The DSI sequence was used to scan the tumor patients, and the diffusion-sensitivity coefficient (b) was selected to reconstruct the GQI from the sample data located in the range of 100-4000s / mm2. The DSI studio software was used to track the whole brain fiber bundle, the cross fiber bundle and the surrounding fiber bundle. The difference between qualitative and quantitative analysis of the reconstructed fiber traceability with different b value sampling data was obtained. The feasibility of reducing HDFT sampling time by optimizing b value is explored. Results 1. HDFT could show the normal corticospinal tract, arcuate fiber bundle and the connected functional area, and determine the relative change range of QA value of right and left cerebral cortical spinal tract and arcuate fiber bundle. 2. HDFT can show the nerve fibers in the edema area of tumor well, and can show the relationship between tumor and nerve fiber qualitatively and quantitatively, so as to guide the clinical operation and at the same time. The change of QA value can also be used to judge the clinical signs of the patients. 3. Sampling data with b value of 100-4000s / mm2 for fiber tracing can also be used to image the nerve fibers in the tumor edema area. At the same time, it can also accurately carry out qualitative and quantitative analysis, and judge the clinical signs of patients. It can reduce the sampling time of HDFT by adjusting the sampling range of b value. Conclusion 1. HDFT can correctly image the nerve fibers around the tumor; 2.The relationship between tumor and nerve fiber can be qualitatively and quantitatively analyzed by HDFT, and the clinical signs of patients can be judged. 3.The sampling time of HDFT can be optimized by adjusting b value.
【学位授予单位】：中南大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：R445.2;R739.41

【相似文献】