Liu Mingrui, Wiskin James W, Czarnota Gregory J, Oelze Michael L
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
J Acoust Soc Am. 2025 Mar 1;157(3):1638-1649. doi: 10.1121/10.0036124.
Breast cancer is a leading cause of death for women. Quantitative ultrasound (QUS) and ultrasound computed tomography (USCT) are quantitative imaging techniques that have been investigated for management of breast cancer. QUS and USCT can generate ultrasound attenuation images. In QUS, the spectral log difference (SLD) is a technique that can provide estimates of the attenuation coefficient slope. Full angular spatial compounding (FASC) can be used with SLD to generate attenuation maps with better spatial resolution and lower estimate variance. In USCT, high quality speed of sound (SOS) images can be generated using full wave inversion (FWI) method, but attenuation images created using FWI are often of inferior quality. With the QTI Breast Acoustic CTTM Scanner (QT Imaging, Inc., Novato, CA), raw in-phase and quadrature data were used to implement SLD combined with FASC. The capabilities of SLD were compared with FWI through simulations, phantom experiments, and in vivo breast experiments. Results show the SLD resulted in improved accuracy in estimating lesion sizes compared to FWI. Further, SLD images had lower variance and mean absolute error (MAE) compared to FWI of the same samples with respect to the attenuation values (reducing MAE by three times) in the tissue mimicking phantoms.
乳腺癌是女性死亡的主要原因。定量超声(QUS)和超声计算机断层扫描(USCT)是已被研究用于乳腺癌管理的定量成像技术。QUS和USCT可以生成超声衰减图像。在QUS中,频谱对数差(SLD)是一种可以提供衰减系数斜率估计值的技术。全角空间复合(FASC)可与SLD一起使用,以生成具有更好空间分辨率和更低估计方差的衰减图。在USCT中,可以使用全波反演(FWI)方法生成高质量的声速(SOS)图像,但使用FWI创建的衰减图像质量通常较差。使用QTI乳腺声学CTTM扫描仪(QT成像公司,加利福尼亚州诺瓦托),利用原始的同相和正交数据来实现结合FASC的SLD。通过模拟、体模实验和体内乳腺实验,将SLD的性能与FWI进行了比较。结果表明,与FWI相比,SLD在估计病变大小方面提高了准确性。此外,在组织模拟体模中,就衰减值而言,与相同样本的FWI相比,SLD图像具有更低的方差和平均绝对误差(MAE)(MAE降低了三倍)。