Phase-Domain Photoacoustic Mechanical Imaging for Quantitative Elastography and Viscography

生物医学中的光声成像 弹性成像 生物医学工程 材料科学 超声成像 相(物质) 相位成像 光学 声学 超声波 医学 物理 显微镜 量子力学
作者
Fen Yang,Zhongjiang Chen,Pingping Wang,Yujiao Shi
出处
期刊:IEEE Transactions on Biomedical Engineering [Institute of Electrical and Electronics Engineers]
卷期号:71 (8): 2330-2340 被引量:4
标识
DOI:10.1109/tbme.2024.3368150
摘要

The role and importance of mechanical properties of cells and tissues in pathophysiological processes have widely been acknowledged. However, current elastography techniques most based on transverse elastic waves, diminish the translation of wave speed into elastic modulus due to its limited wave propagation direction. Here, we propose phase-domain photoacoustic mechanical imaging (PD-PAMI), leveraging the initial time and phase response characteristics of an omnidirectional photoacoustic elastic wave to quantitatively extract elastic and viscous moduli. Theoretical simulations and experiment on tissue-mimicking phantoms with different levels of viscoelastic properties were conducted to validate the approach with a precision in elasticity and viscosity estimation of 4.6% and 6.6%, respectively. The trans-scale viscoelasticity mappings over three length scales—covering cell, tissue section, and in vivo organ, were provided to demonstrate the scalability of the technique with different implementations of PD-PAMI. Experiments on animal models of breast tumour and atherosclerosis reveal that PD-PAMI technique enables effective monitoring of the viscoelastic parameters for examinations of the diseases involved with the variations in collagen or lipid composition and in inflammation level. PD-PAMI technique opens new perspectives of conventional PA imaging and provides new technical way for biomechanical imaging, prefiguring potential clinical applications in mechanopathology-involved disease diagnosis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
南桥发布了新的文献求助10
刚刚
嘞是举仔应助无辜从阳采纳,获得30
刚刚
不明完成签到 ,获得积分10
1秒前
凡凡发布了新的文献求助10
1秒前
2秒前
小白完成签到,获得积分10
2秒前
4秒前
元谷雪发布了新的文献求助10
5秒前
香蕉觅云应助77采纳,获得10
6秒前
赘婿应助阿正嗖啪采纳,获得10
6秒前
6秒前
慕青应助28551采纳,获得10
7秒前
CipherSage应助俏皮的吐司采纳,获得10
7秒前
8秒前
力劈华山完成签到,获得积分10
8秒前
科研通AI6应助fzzf采纳,获得10
9秒前
9秒前
9秒前
9秒前
量子星尘发布了新的文献求助10
10秒前
南桥完成签到,获得积分10
10秒前
别说话发布了新的文献求助10
10秒前
小白不白完成签到,获得积分10
11秒前
11秒前
美满的涔发布了新的文献求助10
11秒前
搜集达人应助尉迟十八采纳,获得60
11秒前
赘婿应助聪慧烤鸡采纳,获得10
13秒前
量子星尘发布了新的文献求助10
13秒前
hearz发布了新的文献求助20
13秒前
LiXQ发布了新的文献求助10
14秒前
愚人发布了新的文献求助10
14秒前
yangtong发布了新的文献求助10
14秒前
16秒前
latadawang发布了新的文献求助30
17秒前
18秒前
19秒前
20秒前
20秒前
生动安波发布了新的文献求助10
21秒前
奥特曼发布了新的文献求助10
21秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5695408
求助须知:如何正确求助?哪些是违规求助? 5101761
关于积分的说明 15216105
捐赠科研通 4851704
什么是DOI,文献DOI怎么找? 2602676
邀请新用户注册赠送积分活动 1554320
关于科研通互助平台的介绍 1512360