首页> 外文会议>Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-Optics >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:具有超声波引导(DNIRUS)的动态近红外成像:模拟模拟模拟模拟模拟的分析模型和基准验证

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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),用于表征可疑乳腺病变的无侵入性。 Dnirus响应于循环机械压缩等动态刺激来测量组织机械和生理参数的变化。它与肿瘤生理特性的近红外成像集成,肿瘤变形/位移的超声成像,以及在指定的循环压缩负荷下的实时压力监测。在循环压缩下的多层组织上定量地验证了Dnirus的概念。一块粘性粘弹性模型用于表征模拟机械性能并模拟组织变形​​。分析在具有移动边界的傅里叶域中的扩散方程。理论模型通过一系列台式测试验证,其中传感器头集成了超声探头和近红外探针的装载框架。将循环压缩力施加到模拟幻像的双层组织中。同时记录幽灵位移,压缩压力和漫反射光学反射。从超声图像重建每层幻象的变形,并且与负载帧测量以及理论预测一致。漫反射率幅度在压缩期间显示出相应的波动,而相位在0.5Hz的振荡频率下没有显着变化。进一步的工作是开发前向和逆算法,以便动态表征可疑乳腺病变。

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