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
超过三分之二的美国人必须定期接受牙科成像检查。目前的牙科诊断很大程度上依赖于牙科x光/CT(计算机断层扫描),有几个主要的缺点:1)目前的牙科x光/CT不能检测到一些发病率高的关键疾病:例如34-74%的人有牙齿裂缝。由于症状变化很大,即使是经验丰富的牙医也很难诊断出裂缝。2)发现牙科x线电离辐射可增加脑膜瘤、甲状腺癌和分娩低出生体重儿的风险。电离辐射在儿童中更受关注,因为他们需要进行3-6倍的牙科x光/CT检查,而在牙科专业人员中,因为他们操作x光/CT的频率比正常患者高得多。3)让很多人(如儿童)固定笨重的x射线/CT传感器也是一项挑战。本项目是通过开发一种新的牙科成像方案来解决这些缺点,该方案采用实验室设计的灵敏近红外荧光光子成像系统,由高分辨率相机和光谱设备组成,用于实时牙科成像。此外,该项目还将向学生和公众传授尖端的生物成像知识,帮助他们应对COVID-19等实际挑战。该项目的目标是开发一个灵敏的近红外荧光成像系统,包括一个高分辨率相机和一个光谱装置,以及纳米荧光团,以实时成像关键的牙齿结构和疾病,包括那些无法通过最先进的牙科x射线/CT检测到的疾病,并消除电离辐射的风险和咬不动的笨重传感器的必要性。为了实现这一目标,可以采用以下方法:1)设计高分辨率牙科成像系统,研究染料在牙组织中分布的基本机制以及染料分布对成像性能的影响;2)在动物和人类牙齿的关键疾病和结构上,系统地将该牙科成像方案与其他最先进的牙科成像方式进行比较;3)利用漱口水给药吲哚菁绿优化口腔成像策略。该项目的研究活动具有以下几个方面的智力意义:A)本研究促进了跨学科知识的发展。首先,本研究可以促进对染料在软硬生物材料中的生物分布的基本认识。fda批准的近红外染料,吲哚菁绿,可以通过血液和淋巴循环进入软组织。然而,吲哚菁绿是如何分布到坚硬的结构,如牙齿,仍然是未知的。本研究将探讨吲哚菁绿在硬结构中的分布方式,生物分布如何受到成像因素(如染料用量、观察时间)的影响,以及这些因素如何定量影响成像性能。其次,本研究促进了对软硬生物结构与不同电磁波(如近红外I (700-1000 nm)、近红外II (1000-1700 nm)和x射线)相互作用的基本理解,以及这些相互作用如何影响各种牙科疾病成像时电磁波和成像参数的选择。B)这项工作是牙科成像领域的创新。这项工作采用fda批准的吲哚菁绿作为生物相容性近红外II荧光团,以促进人类应用的翻译,以及与传统静脉注射相反的用户友好的“漱口水”染料输送;两者都是该领域的先驱之作。C)这项工作具有变革性。与目前的牙科x射线/CT (10-2-101 nm)成像相比,该作品使用完全不同的光(700-1700 nm)来消除电离辐射,从而通过提供不同角度/距离的连续实时牙科成像而不担心健康,从而导致牙科实践的革命性变化。该项目由工程局的电气、通信和网络系统(ECCS)和促进竞争研究的既定计划(EPSCoR)共同资助。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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.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.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.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
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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: