NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method

近红外光谱 高斯分布 光学相干层析成像 计算机科学 漫反射光学成像 材料科学 生物医学工程 光学 断层摄影术 迭代重建 人工智能 生物系统 物理 量子力学 医学 生物
作者
Meishan Cai,Zeyu Zhang,Xiaojing Shi,Zhenhua Hu,Jie Tian
出处
期刊:IEEE Transactions on Medical Imaging [Institute of Electrical and Electronics Engineers]
卷期号:39 (6): 2213-2222 被引量:25
标识
DOI:10.1109/tmi.2020.2964853
摘要

Fluorescence molecular tomography (FMT), which can visualize the distribution of fluorescence biomarkers, has become a novel three-dimensional noninvasive imaging technique for in vivo studies such as tumor detection and lymph node location. However, it remains a challenging problem to achieve satisfactory reconstruction performance of conventional FMT in the first near-infrared window (NIR-I, 700-900nm) because of the severe scattering of NIR-I light. In this study, a promising FMT method for heterogeneous mice was proposed to improve the reconstruction accuracy using the second near-infrared window (NIR-II, 1000-1700nm), where the light scattering significantly reduced compared with NIR-I. The optical properties of NIR-II were analyzed to construct the forward model for NIR-II FMT. Furthermore, to raise the accuracy of solution of the inverse problem, we proposed a novel Gaussian weighted neighborhood fused Lasso (GWNFL) method. Numerical simulation was performed to demonstrate the outperformance of GWNFL compared with other algorithms. Besides, a novel NIR-II/NIR-I dual-modality FMT system was developed to contrast the in vivo reconstruction performance between NIR-II FMT and NIR-I FMT. To compare the reconstruction performance of NIR-II FMT with traditional NIR-I FMT, numerical simulations and in vivo experiments were conducted. Both the simulation and in vivo results showed that NIR-II FMT outperformed NIR-I FMT in terms of location accuracy and spatial overlap index. It is believed that this study could promote the development and biomedical application of NIR-II FMT in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
njr发布了新的文献求助10
刚刚
刚刚
tt完成签到 ,获得积分10
1秒前
Junehe完成签到,获得积分10
1秒前
NexusExplorer应助zhy采纳,获得10
1秒前
悠悠小土豆完成签到,获得积分10
1秒前
李健的小迷弟应助zhy采纳,获得10
1秒前
JamesPei应助zhy采纳,获得10
2秒前
慕青应助zhy采纳,获得10
2秒前
慕青应助zhy采纳,获得10
2秒前
研友_VZG7GZ应助zhy采纳,获得10
2秒前
顾矜应助zhy采纳,获得10
2秒前
所所应助zhy采纳,获得10
2秒前
抱住仙人球应助zhy采纳,获得10
2秒前
Ava应助zhy采纳,获得10
2秒前
4秒前
Ashmitte完成签到,获得积分10
4秒前
4秒前
冲冲冲发布了新的文献求助10
4秒前
lily完成签到,获得积分10
4秒前
4秒前
陈芒果啊完成签到 ,获得积分10
4秒前
外向含之完成签到,获得积分10
5秒前
5秒前
Jasper应助裴裴裴采纳,获得10
6秒前
6秒前
7秒前
一昂完成签到 ,获得积分10
7秒前
8秒前
NZH发布了新的文献求助10
8秒前
lily发布了新的文献求助10
9秒前
afrex发布了新的文献求助30
9秒前
ddd发布了新的文献求助30
9秒前
脑洞疼应助丘先生采纳,获得10
9秒前
留胡子的白风完成签到,获得积分10
10秒前
himmer发布了新的文献求助10
11秒前
阿包完成签到 ,获得积分10
11秒前
巴巴爸爸发布了新的文献求助10
11秒前
12秒前
12秒前
高分求助中
The ACS Guide to Scholarly Communication 2500
Sustainability in Tides Chemistry 2000
Studien zur Ideengeschichte der Gesetzgebung 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
Threaded Harmony: A Sustainable Approach to Fashion 810
Pharmacogenomics: Applications to Patient Care, Third Edition 800
A Dissection Guide & Atlas to the Rabbit 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3082258
求助须知:如何正确求助?哪些是违规求助? 2735476
关于积分的说明 7537620
捐赠科研通 2385156
什么是DOI,文献DOI怎么找? 1264678
科研通“疑难数据库(出版商)”最低求助积分说明 612700
版权声明 597623