ANISOTROPY AND SPATIAL HETEROGENEITY IN QUANTITATIVE ULTRASOUND PARAMETERS: RELEVANCE TO THE STUDY OF THE HUMAN CERVIX

作者:Guerrero QuintonW; Feltovich Helen; Rosado Mendez Ivan M; Carlson Lindsey C; Li Geng; Hall Timothy J*
来源:Ultrasound in Medicine and Biology, 2018, 44(7): 1493-1503.
DOI:10.1016/j.ultrasmedbio.2018.02.008

摘要

Imaging biomarkers based on quantitative ultrasound can offer valuable information about properties that inform tissue function and behavior such as microstruetural organization (e.g., collagen alignment) and viscoelasticity (i.e., compliance). For example, the cervix feels softer as its microstructure remodels during pregnancy, an increase in compliance that can be objectively quantified with shear wave speed and therefore shear wave speed estimation is a potential biomarker of cervical remodeling. Other proposed biomarkers include parameters derived from the buck scattered echo signal, such as attenuation and buck scattered power loss, because such parameters can provide insight into tissue microstruetural alignment and organization. Of these, attenuation values for the pregnant cervix have been reported, but large estimate variance reduces their clinical value. That said, parameter estimates based on the backscattered echo signal may be incorrect if assumptions they rely on, such as tissue isotropy and homogeneity, are violated. For that reason, we explored backscatter and attenuation parameters as potential biomarkers of cervical remodeling via careful investigation of the assumptions of isotropy and homogeneity in cervical tissue. Specifically, we estimated the angle- and spatial-dependence of parameters of backscattered power and acoustic attenuation in the ex vivo human cervix, using the reference phantom method and electronic steering of the ultrasound beam. We found that estimates are anisotropic and spatially heterogeneous, presumably because the tissue itself is anisotropic and heterogeneous. We conclude that appropriate interpretation of imaging biomarkers of cervical remodeling must account for tissue anisotropy and heterogeneity.

  • 出版日期2018-7