本文選題：動脈粥樣硬化　切入點：頸總動脈　出處：《哈爾濱工業(yè)大學》2017年碩士論文

【摘要】：世界衛(wèi)生組織報告顯示,心血管疾病在2008年就已經(jīng)超越腫瘤性疾病成為危害世界人民健康的頭號殺手,其發(fā)病率和死亡率居于全球第一。心血管疾病是累及全身血管的病變,即使使用目前最先進、最完善的治療手段,仍然不能完全治療該疾病。引起心血管疾病的主要原因是動脈硬化,動脈硬化的早期表現(xiàn)是血管壁內(nèi)中膜的變硬和增厚,從而降低血管彈性。血管壁二維運動的檢測是血管彈性檢測的基礎(chǔ),因此血管壁的二維運動在近年來被認為是心血管事件的重要標記。本文提出估計超聲圖像的勁動脈運動方法,從而對血管的健康狀況提供有用信息,幫助我們盡早對亞臨床高危患者進行有效治療。本文的方法從臨床患者B超聲圖像中評估頸總動脈壁的徑向和縱向運動。為了估計心動周期內(nèi)選定點的軌跡,本文提出了一個塊匹配方法,當涉及到一個時間更新的參考塊時,使用一個像素級的非線性無損卡爾曼濾波器,并且濾波器使用初始灰度級作為控制信號以避免由于累積誤差而造成發(fā)散。在這項研究中,本文不僅與以前研究方法結(jié)果進行比較,并且對比了塊匹配方法中不同的匹配準則,以及無損變換中不同的sigma策略,同時對初始值進行整體的實驗結(jié)果對比。在結(jié)果對比中,又比較了不同身體狀況、性別、以及年齡等受試者的情況,來分析不同情況受試者之間的微小差異。其中,運動追蹤結(jié)果與手動跟蹤結(jié)果之間的結(jié)果比較主要在以下幾個方面進行分析:相關(guān)性,一致性以及與誤差。通過線性回歸研究相關(guān)性,該分析方法可以根據(jù)Pearson相關(guān)系數(shù),測量誤差和系統(tǒng)誤差三個指標。該分析方法可以測量出由本文的方法和手動跟蹤方法執(zhí)行頸總動脈壁的運動軌跡之間的統(tǒng)計關(guān)系。本文已經(jīng)在103個受試者的超聲圖像序列中測試了本文的算法,并將本文算法得到的結(jié)果與以前方法的結(jié)果以及兩個超聲醫(yī)生手工得到的結(jié)果進行對比。實驗結(jié)果表明,本文的方法具有與超聲醫(yī)生的手動結(jié)果有很高的相關(guān)性(縱向方向相關(guān)系數(shù)是0.9957,徑向相關(guān)系數(shù)是0.9959)和一致性(95%的置信區(qū)間寬度對于縱向方向運動是0.8871 mm,徑向方向運動是0.4159 mm),并且比以前的方法準確度更高。這可以證明本文的方法在頸總動脈壁運動跟蹤的有效性。
[Abstract]:The World Health Organization (WHO) reports that cardiovascular disease has surpassed tumor disease as the world's leading killer of people's health in 2008, with morbidity and mortality ranking first in the world.Cardiovascular disease is a disease involving systemic blood vessels. Even with the most advanced and perfect treatment, it is still unable to treat the disease completely.The main cause of cardiovascular disease is arteriosclerosis. The early manifestation of arteriosclerosis is the hardening and thickening of the medial membrane of the vascular wall, which reduces the elasticity of the blood vessel.The detection of two-dimensional motion of vascular wall is the basis of vascular elasticity detection, so the two-dimensional motion of vascular wall is regarded as an important marker of cardiovascular events in recent years.In this paper, a method of estimating arterial motion in ultrasound images is presented, which can provide useful information for the health status of blood vessels and help us to effectively treat subclinical high risk patients as soon as possible.Methods Radial and longitudinal motion of common carotid artery was evaluated by B-ultrasound images in clinical patients.In order to estimate the trajectory of selected points in cardiac cycle, a block matching method is proposed. When a time-updated reference block is involved, a pixel level nonlinear lossless Kalman filter is used.And the filter uses the initial gray level as the control signal to avoid divergence caused by accumulated errors.In this study, we not only compare the results with the previous methods, but also compare the different matching criteria in the block matching method and the different sigma strategies in the lossless transformation. At the same time, the experimental results of the whole initial value are compared.In the result comparison, we analyzed the slight differences among the subjects in different physical condition, sex, age and so on.The results of motion tracking and manual tracking are compared in the following aspects: correlation, consistency and error.The correlation is studied by linear regression. The method can be based on three indexes: Pearson correlation coefficient, measurement error and system error.This method can measure the statistical relationship between the motion trajectory of the common carotid artery performed by the present method and the manual tracking method.In this paper, we have tested our algorithm in 103 subjects' ultrasound image sequences, and compared the results obtained by our method with those obtained by previous methods and by hand by two ultrasound doctors.The experimental results show that,The method presented in this paper has a high correlation with the manual results of the ultrasound doctor (the longitudinal correlation coefficient is 0.9957, the radial correlation coefficient is 0.9959) and the consistent confidence interval width of 95% is 0.8871 mm for the longitudinal movement and the radial direction.The motion is 0.4159 mm and is more accurate than previous methods.This can prove the effectiveness of this method in common carotid artery wall motion tracking.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R445.1;TP391.41

【參考文獻】

相關(guān)期刊論文 前3條

1 齊繼連;彭云蓉;劉濤;李梅笑;范國裕;李觀強;;速度向量成像技術(shù)評估高脂血癥患者頸動脈運動特征價值[J];中華實用診斷與治療雜志;2013年01期

2 王建林;馮絮影;趙利強;于濤;;不敏變換魯棒Kalman濾波器在發(fā)酵過程中的應用(英文)[J];Chinese Journal of Chemical Engineering;2010年03期

3 徐明才;陶進緒;連娟;李昕;吳學詠;汪華;;基于快速匹配算法的頸動脈超聲圖像的運動分析[J];生物醫(yī)學工程研究;2009年03期

相關(guān)碩士學位論文 前1條

1 沈莎娜;速度向量成像技術(shù)評價糖尿病患者頸動脈管壁運動的初步研究[D];寧夏醫(yī)科大學;2013年

，

本文編號：1690338