共查询到19条相似文献,搜索用时 95 毫秒
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非线性声参量层析成像与生物组织定征 总被引:8,自引:2,他引:6
结合有限振幅插入取代法和计算机层析成像技术提出非线性参量B/A的成像方法,用卷积滤波法可重建非线性参量层析图像.对正常肝和若干种病变的猪肝脏组织(肝硬化、肝炎和脂肪肝等)进行了实验成像.为了便于比较,文中还给出了衰减系数这一线性参量的层析图像.研究结果指出非线性参量B/A成像在生物组织定征中的有效性及在医学诊断中的应用前景. 相似文献
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非线性声参量计算机模拟成像 总被引:2,自引:2,他引:0
非线性声参量B/A是生物组织超声辨认的一个重要的新参量.本文从Burgers’方程出发分析了有限振幅平面声波在层状介质中的非线性传播理论,并将它用于二次谐波的声成像,利用通常的CT算法而得的二次谐波数据进行了非线性声参量的计算机模拟成像,用滤波逆投影算法进行图像重建,对简单的样品模型得到了较好的非线性声参量断层图像. 相似文献
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非线性声参量B/A是医学超声组织定征的一个新参量,利用X射线CT成像的算法──卷积滤波法可以对一个简单样品进行非线性参量B/A计算机模拟成像。本文研究了四种|ω|滤波器,即RL滤波器,SL滤波器,抛物线滤波器和改进的SL滤波器,分析了它们对卷积滤波法非线性参量成像的图像质量的影响。 相似文献
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本文系统地介绍了声学中的非线性参数研究工作的现状和应用前景,特别着重介绍它在超声医学成像中的应用。 相似文献
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光声成像兼具声学成像和光学成像两者的优点, 因而成为近十年来发展最迅速的生物医学成像技术之一. 本文介绍了光声成像的特点及其相对于广泛应用的光学成像技术和声学成像技术的优点; 其次, 解释了光声成像的成像原理, 在此基础上介绍了光声断层成像和光声显微镜这两种典型的光声成像方案, 并介绍了它们的技术特点; 然后, 介绍了光声成像对生物组织的生化特性、组织力学特性、血液流速分布、温度分布参数、微结构特性等多信息参量的提取能力, 及其在生物系统的结构成像、功能成像、代谢成像、分子成像、基因成像等多领域的应用; 最后, 展望了光声成像在生物医学领域的应用潜力并讨论了其局限性. 相似文献
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有限振幅法研究损耗媒质的非线性声参量 总被引:1,自引:0,他引:1
用有限振幅插入取代法研究非线性声参量B/A,对于耗散媒介应计及样品的声衰减,本文在考虑了样品的声衰减和换能器的衍射对测量的影响后推导了非线性参量的修正公式。利用此公式研究了生物样品包括生物流体和动物软组织的B/A值及其与浓度和样品结构的依赖关系。 相似文献
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I.IntroductionAcousticnonlinearityparameterB/Adescrjbesthenonlilleareffectsofasoundwavetrav-ellingthroughamedium.Withtheapplicationofhighmowerultrasonicwavetomedicine,thenonlineareffectsbecomemoreandmoreimportant.EspeciallybecauseB/Aissensitivetothepathologicalstateofbiologicaltissues[1-2])thisprovidesprospectiveapplicationinmedicaldiagnosis.Atpresent,thestudyinthisareaemphasizesontwoaspects.OneistodevelopnewmedicalimagingtechniquesbyusingthisnonlinearityparameterB/Al1'3-'];theotheristostu… 相似文献
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为了解决管道有源噪声控制中声反馈造成的系统复杂度和计算量的增加,文中引入参量阵扬声器作为次级声源,利用其强指向性减小控制系统的声反馈。为了验证该方法可行性,本文分别在直管和L管中,对600 Hz单频噪声和频率范围为500 Hz~1000 Hz的窄带噪声进行了管道有源噪声控制,同时测量了参量阵扬声器的管内声场和降噪范围。结果表明,参量阵扬声器声反馈小,在没有声反馈补偿的条件下对单频噪声的降噪效果基本达到了声反馈补偿条件下普通扬声器的降噪效果,对窄带噪声的降噪效果稍差。此外,通过测量管道声场和降噪量,确定了参量阵扬声器的降噪区域为误差传感器下游整个管道,降噪面积为管道整个截面。这说明参量阵扬声器作为次级声源降低了系统的复杂度和算法的计算量,并取得了较好的降噪效果。 相似文献
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C.L. Shen 《Physics letters. A》2010,374(23):2301-4048
Liquid drops can be suspended in air with acoustic levitation method. When the sound pressure is periodically modulated, the levitated drop is usually forced into an axisymmetric oscillation. However, a transition from axisymmetric oscillation into sectorial oscillation occurs when the modulation frequency approaches some specific values. The frequency of the sectorial oscillation is almost exactly half of the modulation frequency. It is demonstrated that this transition is induced by the parametric resonance of levitated drop. The natural frequency of sectorial oscillation is found to decrease with the increase of drop distortion extent. 相似文献
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The development of a prototype parametric speaker comprised of 37 piezo-speakers, also known as “acoustic flashlight” is described. The sound pressure along the axis was measured for both the primary (38.5 kHz ultrasonic) signal and the secondary (demodulated) signal. Comparison with the theory for an equivalent piston radiating at the same frequency and the simulation of the piezo speakers as simple sources in the same hexagonal arrangement was made. The absorption coefficient and the radiation patterns of the primary and secondary signal were also measured. All the measurements and the simulation agree with the corresponding theories. The demodulated (audio frequency) signal behaves in the near field of the speaker in the same way (that of an equivalent piston) as the primary (ultrasonic frequency) signal, which results in the inheritance of its high directivity. 相似文献
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Predicting the onset of non-spherical oscillations of bubbles in soft matter is a fundamental cavitation problem with implications to sonoprocessing, polymeric materials synthesis, and biomedical ultrasound applications. The shape stability of a bubble in a Kelvin-Voigt viscoelastic medium with nonlinear elasticity, the simplest constitutive model for soft solids, is analytically investigated and compared to experiments. Using perturbation methods, we develop a model reducing the equations of motion to two sets of evolution equations: a Rayleigh-Plesset-type equation for the mean (volume-equivalent) bubble radius and an equation for the non-spherical mode amplitudes. Parametric instability is predicted by examining the natural frequency and the Mathieu equation for the non-spherical modes, which are obtained from our model. Our theoretical results show good agreement with published experiments of the shape oscillations of a bubble in a gelatin gel. We further examine the impact of viscoelasticity on the time evolution of non-spherical mode amplitudes. In particular, we find that viscosity increases the damping rate, thus suppressing the shape instability, while shear modulus increases the natural frequency, which changes the unstable mode. We also explain the contributions of rotational and irrotational fields to the viscoelastic stresses in the surroundings and at the bubble surface, as these contributions affect the damping rate and the unstable mode. Our analysis on the role of viscoelasticity is potentially useful to measure viscoelastic properties of soft materials by experimentally observing the shape oscillations of a bubble. 相似文献
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In this work the moving ultrasound linear array technique has been used to perform 3D echographic images of different human hands, in order to evaluate this technique to biometric recognition purposes. An automated set up, based on a commercial echographic machine provided with a high frequency (12 MHz) linear array, has been built up. The probe is moved in the direction orthogonal to the array and at each step a B-scan is performed and stored to form a 3D matrix representing the under skin hand volume.B-scan and C-scan images of the hand of different users were analysed and compared. The results have shown that, in the analysed region (about 10 mm under the palm skin), there are several anatomic elements (including hand bones, bending tendons, muscle tissue, blood vessels) that can be exploited for measurements of biometric parameters.The characteristics of the proposed technique are compared with those of the 2D optical hand geometry, which is a well established biometric technique, and its possible advantages are underlined and discussed. 相似文献
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风扇噪声是大涵道比发动机的重要噪声源, 其可传播模态随频率增加而增多, 难以通过足够的传声器进行测量, 为此提出了一种用于风扇单音噪声模态识别的贝叶斯压缩感知方法来解决声模态识别中传声器数量不足的问题。管道内声场用概率模型描述, 模态识别的压缩感知逆问题用贝叶斯框架表示。基于贝叶斯压缩感知的模态识别方法能稀疏恢复未知模态系数解, 实现参数自适应调优。数值模拟和实验测试验证了贝叶斯压缩感知方法在模态识别中的有效性。结果表明, 贝叶斯压缩感知方法可以用比传统方法少56.3%的传声器准确识别目标模态。
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