發(fā)布時(shí)間：2018-01-31 20:09

  本文關(guān)鍵詞： 高清纖維成像 顱內(nèi)腫瘤 皮質(zhì)脊髓束 弓狀纖維束 定量各向異性　出處：《中南大學(xué)》2014年博士論文　論文類型：學(xué)位論文

【摘要】：目的 目前彌散張量成像廣泛應(yīng)用于神經(jīng)系統(tǒng)疾病的診斷與治療當(dāng)中,.但是由于其不能很好的對(duì)交叉神經(jīng)纖維及顱內(nèi)腫瘤周圍區(qū)域的神經(jīng)纖維進(jìn)行追蹤,因此限制了其進(jìn)一步發(fā)展。高清纖維成像(HDFT)利用更高的空間分辨率及彌散敏感梯度,能夠很好的解決上述問題,本研究利用高清纖維成像定性定量研究顱內(nèi)腫瘤與周圍神經(jīng)的關(guān)系,為臨床顱內(nèi)腫瘤病人提供新的診斷、治療、判斷預(yù)后的手段。 方法 1.通過彌散擴(kuò)散譜成像(DSI)序列掃描正常人,廣義Q空間(GQI)重建,DSI studio軟件行皮質(zhì)脊髓束、弓狀纖維束追蹤,分析兩側(cè)大腦皮質(zhì)脊髓束、弓狀纖維束定量各向異性(QA)值的相對(duì)變化范圍； 2.通過DSI序列掃描腫瘤病人,GQI重建,DSI studio軟件行纖維束追蹤,定性分析皮質(zhì)脊髓束、弓狀纖維束與腫瘤的位置關(guān)系(擠壓或者破壞),定量分析皮質(zhì)脊髓束、弓狀纖維束的QA值的變化,建立神經(jīng)纖維束定性定量分析與病人臨床體征之間的關(guān)系； 3.通過DSI序列掃描腫瘤病人,選取彌散敏感系數(shù)(b值)位于100-4000s/mm2內(nèi)的采樣數(shù)據(jù)進(jìn)行GQI重建,DSI studio軟件行全腦纖維束,交叉纖維束,腫瘤周圍纖維束追蹤,定性與定量分析不同b值采樣數(shù)據(jù)重建所得纖維追蹤之間的差別,探索通過優(yōu)化b值減少HDFT采樣時(shí)間的可行性； 結(jié)果 1. HDFT能很好的顯示正常人皮質(zhì)脊髓束、弓狀纖維束及其所連接的功能區(qū),并確定出左右兩側(cè)大腦皮質(zhì)脊髓束、弓狀纖維束QA值的相對(duì)變化范圍； 2. HDFT能很好的顯示腫瘤水腫區(qū)域的神經(jīng)纖維,并能定性與定量顯示腫瘤與神經(jīng)纖維之間的關(guān)系,從而指導(dǎo)臨床手術(shù),同時(shí),QA值的變化也能很好的對(duì)患者的臨床體征進(jìn)行判斷； 3.選取b值位于100-4000s/mm2的采樣數(shù)據(jù)進(jìn)行纖維追蹤同樣能夠很好的對(duì)腫瘤水腫區(qū)域的神經(jīng)纖維進(jìn)行成像,同時(shí)也能準(zhǔn)確的進(jìn)行定性與定量分析,并判斷病人的臨床體征,可以通過調(diào)整b值采樣范圍來減少HDFT采樣時(shí)間； 結(jié)論 1. HDFT能正確的對(duì)腫瘤周圍區(qū)域神經(jīng)纖維進(jìn)行成像； 2. HDFT能正確的的對(duì)腫瘤與神經(jīng)纖維之間的關(guān)系進(jìn)行定性與定量分析,判斷病人臨床體征； 3. HDFT采樣時(shí)間能通過調(diào)整b值來進(jìn)行優(yōu)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.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：R445.2;R739.41

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