Computer-assisted Applications in Medicine, ETH Zurich, Zurich, Switzerland.
Computer-assisted Applications in Medicine, ETH Zurich, Zurich, Switzerland.
Med Image Anal. 2021 Jan;67:101875. doi: 10.1016/j.media.2020.101875. Epub 2020 Oct 17.
Attenuation of ultrasound waves varies with tissue composition, hence its estimation offers great potential for tissue characterization and diagnosis and staging of pathology. We recently proposed a method that allows to spatially reconstruct the distribution of the overall ultrasound attenuation in tissue based on computed tomography, using reflections from a passive acoustic reflector. This requires a standard ultrasound transducer operating in pulse-echo mode and a calibration protocol using water measurements, thus it can be implemented on conventional ultrasound systems with minor adaptations. Herein, we extend this method by additionally estimating and imaging the frequency-dependent nature of local ultrasound attenuation for the first time. Spatial distributions of attenuation coefficient and exponent are reconstructed, enabling an elaborate and expressive tissue-specific characterization. With simulations, we demonstrate that our proposed method yields a low reconstruction error of 0.04 dB/cm at 1 MHz for attenuation coefficient and 0.08 for the frequency exponent. With tissue-mimicking phantoms and ex-vivo bovine muscle samples, a high reconstruction contrast as well as reproducibility are demonstrated. Attenuation exponents of a gelatin-cellulose mixture and an ex-vivo bovine muscle sample were found to be, respectively, 1.4 and 0.5 on average, consistently from different images of their heterogeneous compositions. Such frequency-dependent parametrization could enable novel imaging and diagnostic techniques, as well as facilitate attenuation compensation of other ultrasound-based imaging techniques.
超声波的衰减随组织成分而变化,因此其估计为组织特征化以及病理的诊断和分期提供了巨大的潜力。我们最近提出了一种方法,该方法允许基于计算机断层摄影术,使用无源声反射器的反射,从空间上重建组织中整体超声衰减的分布。这需要一个标准的超声换能器以脉冲回波模式运行,并且使用水测量的校准协议,因此它可以通过较小的适应在常规超声系统上实现。在此,我们首次通过额外估计和成像局部超声衰减的频率依赖性来扩展该方法。重建衰减系数和指数的空间分布,实现了精细和有表现力的组织特异性特征化。通过模拟,我们证明我们提出的方法在 1MHz 时的衰减系数的重建误差低至 0.04dB/cm,频率指数的重建误差低至 0.08。使用组织模拟体模和离体牛肌肉样本,证明了高的重建对比度和可重复性。在明胶-纤维素混合物和离体牛肌肉样本的实验中,发现衰减指数分别平均为 1.4 和 0.5,这与它们不均匀成分的不同图像一致。这种频率相关的参数化可以实现新的成像和诊断技术,并有助于其他基于超声的成像技术的衰减补偿。