Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Adv Exp Med Biol. 2023;1403:253-277. doi: 10.1007/978-3-031-21987-0_12.
Quantitative acoustic microscopy (QAM) reconstructs two-dimensional (2D) maps of the acoustic properties of thin tissue sections. Using ultrahigh frequency transducers (≥ 100 MHz), unstained, micron-thick tissue sections affixed to glass are raster scanned to collect radiofrequency (RF) echo data and generate parametric maps with resolution approximately equal to the ultrasound wavelength. 2D maps of speed of sound, mass density, acoustic impedance, bulk modulus, and acoustic attenuation provide unique and quantitative information that is complementary to typical optical microscopy modalities. Consequently, many biomedical researchers have great interest in utilizing QAM instruments to investigate the acoustic and biomechanical properties of tissues at the micron scale. Unfortunately, current state-of-the-art QAM technology is costly, requires operation by a trained user, and is accompanied by substantial experimental challenges, many of which become more onerous as the transducer frequency is increased. In this chapter, typical QAM technology and standard image formation methods are reviewed. Then, novel experimental and signal processing approaches are presented with the specific goal of reducing QAM instrument costs and improving ease of use. These methods rely on modern techniques based on compressed sensing and sparsity-based deconvolution methods. Together, these approaches could serve as the basis of the next generation of QAM instruments that are affordable and provide high-resolution QAM images with turnkey solutions requiring nearly no training to operate.
定量声学显微镜 (QAM) 可重建薄组织切片的声学特性的二维 (2D) 图谱。使用超高频率换能器(≥100MHz),对固定在玻璃上的未经染色、微米厚的组织切片进行光栅扫描,以收集射频 (RF) 回波数据并生成具有与超声波长大致相等的分辨率的参数图谱。声速、质量密度、声阻抗、体积模量和声衰减的 2D 图谱提供了独特且定量的信息,这与典型的光学显微镜模式互补。因此,许多生物医学研究人员对利用 QAM 仪器研究微米尺度组织的声学和生物力学特性非常感兴趣。不幸的是,当前最先进的 QAM 技术成本高昂,需要经过培训的用户操作,并且伴随着大量的实验挑战,随着换能器频率的增加,许多挑战变得更加艰巨。在本章中,回顾了典型的 QAM 技术和标准图像形成方法。然后,提出了新颖的实验和信号处理方法,其具体目标是降低 QAM 仪器的成本并提高易用性。这些方法依赖于基于压缩感知和基于稀疏性的反卷积方法的现代技术。这些方法可以作为下一代 QAM 仪器的基础,这些仪器价格实惠,提供具有一键式解决方案的高分辨率 QAM 图像,几乎不需要培训即可操作。