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A Physical Model of Nonstationary Blur in Ultrasound Imaging

Abstract:
While restoration methods have been extensively studied in ultrasound\xa0(US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations, such as lossless homogeneous media. Despite a highly nonstationary blur due to diffraction effects, many techniques rely on simplistic approximations based on shift-invariant models or sectional methods and their efficiency has not been demonstrated for plane-wave\xa0(PW) and diverging-wave\xa0(DW) imaging. In this paper, we first propose a physical model of nonstationary blur in the context of PW and DW imaging. The blur operation is expressed as a composition of a U.S. propagation operator and a delay-and-sum operator, each of which has derived in previous works. We show that such a composition leads to a standard model of nonstationary blur as a Fredholm integral of the first kind. Second, we describe an approximation of the blur in the discrete domain based on the above decomposition coupled with an appropriate discretization of the latent element-raw-data space. We show theoretically and empirically that its evaluation, using such an approximation, scales linearly instead of quadratically with respect to the grid size, better than shift-invariant approaches. Through simulations and in vivo experimental data, we demonstrate that using the proposed model in the context of maximum-a-posteriori image restoration results in a higher image quality than using state-of-the-art shift-invariant models.
Author Listing: Adrien Besson;Lucien Roquette;Dimitris Perdios;Matthieu Martin Jean-Andre Simeoni;Marcel Arditi;Paul Hurley;Yves Wiaux;Jean-Philippe Thiran
Volume: 5
Pages: 381-394
DOI: 10.1109/TCI.2019.2897951
Language: English
Journal: IEEE Transactions on Computational Imaging

IEEE Transactions on Computational Imaging

IEEE T COMPUT IMAG

影响因子:4.8
是否综述期刊:否
是否OA:否
是否预警:不在预警名单内
发行时间:-
ISSN:2333-9403
发刊频率:-
收录数据库:SCIE/Scopus收录
出版国家/地区:United States
出版社:Institute of Electrical and Electronics Engineers Inc.

期刊介绍

The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.

IEEE Transactions on Computational Imaging将发表计算在图像形成过程中发挥重要作用的文章。论文将涵盖计算成像的所有领域,从基本的理论方法到最新的创新计算成像系统设计。感兴趣的主题将包括先进的算法和数学技术、基于模型的数据反演、从稀疏和不完整数据中恢复图像和信号的方法、图像数据的非传统感测技术、从成像传感器获取和提取动态信息的方法、成像系统中有效计算的软件和硬件以及高度新颖的成像系统设计。

年发文量 136
国人发稿量 75
国人发文占比 54.95%
自引率 12.5%
平均录取率 -
平均审稿周期 -
版面费 -
偏重研究方向 Mathematics-Computational Mathematics
期刊官网 https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6745852
投稿链接 https://mc.manuscriptcentral.com/sps-ieee

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00% 10.53% - -

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

时间 预警情况
2025年03月发布的2025版 不在预警名单中
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q1区

版本 按学科 分区
WOS期刊SCI分区
(2021-2022年最新版)
ENGINEERING, ELECTRICAL & ELECTRONIC Q2
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Q2

中科院分区

版本 大类学科 小类学科 Top期刊 综述期刊
计算机科学
2区
ENGINEERING, ELECTRICAL & ELECTRONIC
工程:电子与电气
2区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
成像科学与照相技术
2区
2021年12月
基础版
工程技术
2区
ENGINEERING, ELECTRICAL & ELECTRONIC
工程:电子与电气
3区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
成像科学与照相技术
3区
2021年12月
升级版
计算机科学
3区
ENGINEERING, ELECTRICAL & ELECTRONIC
工程:电子与电气
3区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
成像科学与照相技术
3区
2020年12月
旧的升级版
计算机科学
2区
ENGINEERING, ELECTRICAL & ELECTRONIC
工程:电子与电气
3区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
成像科学与照相技术
2区
2022年12月
最新升级版
计算机科学
2区
ENGINEERING, ELECTRICAL & ELECTRONIC
工程:电子与电气
2区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
成像科学与照相技术
2区