CAREER: Image critical dental diseases that current dental X-ray/CT fails to detect, without ionizing radiation
CAREER: Image critical dental diseases that current dental X-ray/CT fails to detect, without ionizing radiation
批准号:
2046929
负责人:
Jian Xu
金额:
$50.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-03-01 至 2026-02-28
中文摘要
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英文摘要
More than 2/3 of Americans have to receive dental imaging routinely. Current dental diagnosis largely relies on dental X-ray/CT (computed tomography), with several major drawbacks: 1) current dental X-ray/CT fails to detect some critical diseases with high incidence rates: for instance, 34-74% of people have tooth cracks. Due to highly variable symptoms, crack is notoriously difficult to be diagnosed even for experienced dentists. 2) the ionizing radiation of dental X-ray was found to increase the risk of meningioma, thyroid cancer, and delivery of low-birth-weight baby. Ionizing radiation is more concerned in children, as they are required to take 3-6 times more frequent dental X-ray/CT, and in dental professionals, as they operate X-ray/CT much more frequently, than normal patients. 3) It is also challenging to hold bulky X-ray/CT sensor immobile by many people, such as children. This project is to address these drawbacks by developing a novel dental imaging scheme with a lab-designed sensitive near-infrared fluorescence photonic imaging system, consisting of a high-resolution camera and a spectroscopic device, for real-time dental imaging. In addition, this project will teach students and educate the general public on the cutting-edge bio-imaging knowledge to help them tackle practical challenges, such as COVID-19.The project goal is to develop a sensitive near-infrared fluorescence imaging system, including a high-resolution camera and a spectroscopic device, together with nanofluorophore, to image critical dental structures and diseases, including those undetectable by state-of-the-art dental X-ray/CT, in real time, and to eliminate the risks of ionizing radiation and the necessity of biting bulky sensors immobile. To achieve the goal, the following approaches are to be used: 1) Design a high-resolution dental imaging system and study the fundamental mechanism of dye distribution in dental tissues and the impact of dye distribution on imaging performance; 2) Systematically compare this dental imaging scheme to other state-of-the-art imaging modalities on critical dental diseases and structures on both animal and human teeth; 3) Optimize the dental imaging strategy with indocyanine green delivery by mouthwash. The research activity of this project has intellectual significances in several aspects: A) This research advances interdisciplinary knowledge. First, this research may advance the fundamental understanding of bio-distributions of dye in soft and hard biomaterials. FDA-approved near-infrared dye, the indocyanine green, is well understood for the distribution into soft tissues via blood and lymphatic circulations. However, how indocyanine green is distributed into hard structures, such as teeth, remains unknown. This study will investigate the indocyanine green distribution approaches in hard structures, how the biodistribution is affected by imaging factors (for example, dye dosage, observation time) and how these factors may quantitatively impact the imaging performance. Second, this research advances the fundamental understanding of how hard and soft biostructures interacts with different electromagnetic waves (such as near-infrared I (700-1000 nm), near-infrared II (1000-1700 nm), and X-ray) and how these interactions impact the choice of electromagnetic waves and imaging parameters when imaging various dental diseases. B) This work is innovative in the field of dental imaging. This work employs FDA-approved indocyanine green as a biocompatible near-infrared II fluorophore to facilitate the translation of human applications, and a user-friendly “mouthwash” delivery of dye, as opposed to the traditional intravenous injection; both are the pioneering works in the field. C) This work is transformative. In contrast with the current dental X-ray/CT (10-2-101 nm) imaging, this works uses completely different light (700-1700 nm) to eliminate the ionizing radiation, thus leading to the revolutionary change of dental practice by providing continuous real-time dental imaging at various angles/distances without health concerns.This project is being jointly funded by Electrical, Communications and Cyber Systems (ECCS) in Engineering Directorate and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI:
10.1016/j.bspc.2023.104711
发表时间:
2023-02-23
期刊:
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
影响因子:
5.1
作者:
[Li, Zhongqiang, Ramos, Alexandra, Xu, Jian]
通讯作者:
Xu, Jian
DOI:
10.1016/j.compbiomed.2022.105617
发表时间:
2022-05-21
期刊:
COMPUTERS IN BIOLOGY AND MEDICINE
影响因子:
7.7
作者:
[Li, Zheng, Li, Zhongqiang, Xu, Jian]
通讯作者:
Xu, Jian
DOI:
10.1016/j.neunet.2021.09.006
发表时间:
2021-09-25
期刊:
NEURAL NETWORKS
影响因子:
7.8
作者:
[Li, Zhongqiang, Li, Zheng, Xu, Jian]
通讯作者:
Xu, Jian
DOI:
10.1016/j.cmpb.2024.108019
发表时间:
2024-01
期刊:
Computer methods and programs in biomedicine
影响因子:
6.1
作者:
[Murtaza Aslam;Fozia Rajbdad;Shoaib Azmat;Zheng Li;J. Boudreaux;R. Thiagarajan;Shaomian Yao;Jian Xu]
通讯作者:
Murtaza Aslam;Fozia Rajbdad;Shoaib Azmat;Zheng Li;J. Boudreaux;R. Thiagarajan;Shaomian Yao;Jian Xu
An optimized JPEG-XT-based algorithm for the lossy and lossless compression of 16-bit depth medical image
一种基于 JPEG-XT 的优化算法,用于 16 位深度医学图像的有损和无损压缩
DOI:
10.1016/j.bspc.2020.102306
发表时间:
2021
期刊:
Biomedical Signal Processing and Control
影响因子:
5.1
作者:
[Li, Zhongqiang, Ramos, Alexandra, Li, Zheng, Osborn, Michelle L., Li, Xin, Li, Yanping, Yao, Shaomian, Xu, Jian]
通讯作者:
Xu, Jian
共 6 条
CAREER: Two-Photon Pumped Lasing Using Semiconductor Nanostructures by Design
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批准号:0846818
-
项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2009
-
负责人:Jian Xu
-
依托单位:
First International Symposium on Semiconductor and Plasmonics-Active Nanostructures for Photonic Devices and Systems (Electronics and Photonics); Vienna, Austria; October 4-9, 2009
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批准号:0939548
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项目类别:Standard Grant
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资助金额:$2.05万
-
财政年份:2009
-
负责人:Jian Xu
-
依托单位:
GOALI: Enhanced Nonradiative Energy Coupling between Quantum Dot Phosphors and InGaN Emitters - Towards High-Efficiency White LEDs
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批准号:0824186
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项目类别:Standard Grant
-
资助金额:$33.0万
-
财政年份:2008
-
负责人:Jian Xu
-
依托单位:
GOALI: Mist-Deposition Based Manufacturing of Matrix Displays from Solution-Processed Semiconductor Quantum Dots
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批准号:0729263
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项目类别:Standard Grant
-
资助金额:$0.0万
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财政年份:2007
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负责人:Jian Xu
-
依托单位:
国内基金
海外基金
基于CE-3及IMAGE卫星地球等离子体层EUV探测数据的反演研究
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批准号:41904148
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项目类别:青年科学基金项目
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资助金额:27.0万元
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批准年份:2019
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负责人:黄娅
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依托单位:
Raw-Image微小物体高精度位姿测量法
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批准号:61105029
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项目类别:青年科学基金项目
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资助金额:22.0万元
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批准年份:2011
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负责人:宋薇
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依托单位: