Title
Stabilized Ultrasound Imaging Of A Moving Object Using 2d B-Mode Images And Convolutional Neural Network
Abstract
We present a co-robotic ultrasound imaging system that tracks lesions undergoing physiological motions, e.g., breathing, using 2D B-mode images. The approach embeds the in-plane and out-of-plane transformation estimation in a proportional joint velocity controller to minimize the 6-degree-of-freedom (DoF) transformation error. Specifically, we propose a new method to estimate the out-of-plane translation using a convolutional neural network based on speckle decorrelation. The network is trained on anatomically featureless gray-scale B-mode images and is generalized to different tissue phantoms. The tracking algorithm is validated in simulation with mimicked respiratory motions, which demonstrates the feasibility of stabilizing biopsy through ultrasound guidance.
Year
DOI
Venue
2020
10.1117/12.2550198
MEDICAL IMAGING 2020: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING
Keywords
DocType
Volume
ultrasound tracking, deep learning, speckle decorrelation, medical robotics
Conference
11315
ISSN
Citations 
PageRank 
0277-786X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Tian Xie100.34
Mahya Shahbazi211.02
Yixuan Wu300.34
Russell H. Taylor41970438.00
Emad M Boctor514035.24