3D Ultrasound Spine Imaging with Application of Neural Radiance Field Method

doi:10.1109/IUS52206.2021.9593917

	3D Ultrasound Spine Imaging with Application of Neural Radiance Field Method
	Honggen Li; Hongbo Chen; Wenke Jing; Yuwei Li; Rui Zheng
	2021-09-16
会议录名称	2021 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
ISSN	1948-5719
发表状态	已发表
DOI	10.1109/IUS52206.2021.9593917
摘要	The Voxel-Based Nearest Neighbor method (VNN) is the most commonly used three-dimensional ultrasound (US) image reconstruction algorithm for spine imaging on scoliotic patients. The neural radiance field (NeRF) method is a newly developed reconstruction algorithm in computer vision area, which utilizes a weighted multilayer perceptron to rebuild the volumetric density and color of a 3D scene. The objectives of this study are to apply the NeRF algorithm for the reconstruction of 3D US spine data and to evaluate the spinal curvature measurement from the reconstructed results. The conventional VNN and NeRF method were used to reconstruct 3D ultrasound volume data for 25 scoliotic subjects. The mean absolute difference (MAD) between different reconstruction methods and the correlation between US and radiographic measurements were calculated. The result demonstrated that the new 3D reconstruction algorithm based on the NeRF algorithm could provide higher-quality 3D US spine images with highlighted bone structures and lower noise, moreover lead to better estimation of spine curves with smaller errors comparing to the VNN method.
关键词	Ultrasound spine imaging 3D ultrasound image reconstruction NeRF Scoliosis
会议地点	Xi'an, China
会议日期	11-16 Sept. 2021
URL	查看原文
收录类别	EI ; CPCI ; CPCI-S
EI入藏号	9593917
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/144312
专题	信息科学与技术学院_博士生信息科学与技术学院_PI研究组_郑锐组信息科学与技术学院_硕士生信息科学与技术学院_本科生
作者单位	School of Information Science and Technology, ShanghaiTech University, Shanghai, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Honggen Li,Hongbo Chen,Wenke Jing,et al. 3D Ultrasound Spine Imaging with Application of Neural Radiance Field Method[C],2021.