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首页> 外文会议>Photons Plus Ultrasound: Imaging and Sensing 2006; Progress in Biomedical Optics and Imaging; vol.7, no.9 >Dynamic Near Infrared Imaging with Ultrasound Guidance (dNIRUS): Analytical Model and Benchtop Validation on Multi- layer Tissue Simulating Phantoms
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Dynamic Near Infrared Imaging with Ultrasound Guidance (dNIRUS): Analytical Model and Benchtop Validation on Multi- layer Tissue Simulating Phantoms

机译：超声引导下的动态近红外成像（dNIRUS）：多层组织模拟体模的分析模型和台式验证

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We proposed a dynamic near infrared/ultrasound dual modal imaging system (dNIRUS) for characterizing suspicious breast lesions non-invasively. dNIRUS measures the change of tissue mechanical and physiologic parameters in response to dynamic stimuli such as cyclic mechanical compression. It integrates near infrared imaging of tumor physiologic properties, ultrasound imaging of tumor deformation/displacement, and real time pressure monitoring under a designated cyclic compression load. The concept of dNIRUS was quantitatively verified on multi-layer tissue simulating phantoms under cyclic compression. A lumped visco-elastic model was used to characterize the phantom mechanical properties and to simulate the tissue deformation. The diffusion equations were solved analytically in Fourier domain with the moving boundary. The theoretical models were verified by a series of bench top tests where a sensor head integrating an ultrasound probe and a near infrared probe was installed on a load frame. A cyclic compression force was applied to a two-layer tissue simulating phantom. Phantom displacement, compressive pressure and diffuse optical reflectance were recorded simultaneously. Deformation of each layer of the phantom was reconstructed from ultrasound images and was consistent with the load frame measurements as well as the theoretical predictions. Diffuse reflectance amplitude showed corresponding fluctuation during compression, while the phase did not change significantly at the oscillation frequency of 0.5Hz. Further work is necessary to develop forward and inverse algorithms for dynamic characterization of suspicious breast lesions.
机译：我们提出了一种动态的近红外/超声双模态成像系统（dNIRUS），用于非侵入性地表征可疑乳腺病变。 dNIRUS可测量组织机械和生理参数的变化，以响应动态刺激（例如循环机械压缩）。它整合了肿瘤生理特性的近红外成像，肿瘤变形/移位的超声成像以及在指定循环压缩负荷下的实时压力监测。 dNIRUS的概念在模拟循环压缩的多层体模上得到了定量验证。集总粘弹性模型用于表征模型的力学性能并模拟组织变形​​。在具有移动边界的傅里叶域中解析求解了扩散方程。通过一系列台式测试验证了理论模型，其中将集成了超声探头和近红外探头的传感器头安装在负载框架上。对模拟人体模型的两层组织施加循环压缩力。同时记录了幻像位移，压缩压力和漫反射光。从超声图像重建模型的每一层的变形，并且与载荷框架测量以及理论预测一致。压缩期间，漫反射幅度显示出相应的波动，而在0.5Hz的振荡频率下，相位没有明显变化。有必要开展进一步工作，以发展可逆性乳房病变动态特征的正向和反向算法。

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