학술논문
Lesion Imaging and Target Detection in Complex Heterogeneous Media: Application to Lung Nodules
Document Type
Conference
Source
2019 IEEE International Ultrasonics Symposium (IUS) Ultrasonics Symposium (IUS), 2019 IEEE International. :959-962 Oct, 2019
Subject
Language
ISSN
1948-5727
Abstract
Ultrasound imaging in strongly heterogeneous media is challenging due to the aberrations caused by multiple scattering. The linearity between distance and time is lost making echolocation-based imaging elusive. In this study, we present a method for the imaging of anechoic lesions and targets in highly scattering media taking advantage of ultrasound multiple scattering. First, in silico, heterogeneous media are simulated with 10% area fraction of plastic scatterers in water. Circular lesion (areas with no scatterers) with diameter 8mm are placed at a depth of 10mm. Experimentally, a petroleum jelly lesion is placed in a sponge partially saturated with water, and in a pig lung ex vivo. Inter-elements Response Matrix are acquired using a tranducer array. The backscattered intensity is calculated and split into its coherent and incoherent parts. From the incoherent intensity, a diffusion map is generated and combined with a depression detection algorithm to predict the presence, location and size of the lesions.