PFI:BIC - Smart Laser-Based Imaging and Optical Spectroscopy System: optical quantification of bacterial load, oral health surveillance, and caries prediction.

PFI:BIC - 基于智能激光的成像和光学光谱系统：细菌负荷的光学量化、口腔健康监测和龋齿预测。

基本信息

批准号：
1631146
负责人：
Eric Seibel
金额：
$ 100万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1631146&HistoricalAwards=false
关键词：
PFI BIC Smart Laser Based

项目摘要

Caries and gum disease are especially prevalent and severe in low-income and rural communities, which often lack access to convenient and affordable dental care. Members of these communities are more likely to visit hospital emergency departments with advanced stages of oral disease that need surgical treatment; this increases the cost of dental care for families and burdens hospital resources. Tooth decay is the most common chronic disease in American children and adolescents age 6-19 despite being a preventable disease. In 2010, untreated tooth decay, or caries, affected 2.4 billion people worldwide. Early childhood caries leads to pain, infection, and discomfort. And in adults, chronic oral infections may increase the risk of preterm birth and diseases like diabetes and atherosclerosis (hardening of the arteries). This project will develop a hand-held electric-toothbrush-like device with a user-friendly interface that can be used in the home or by community health workers in schools or rural clinics. The wand, which uses a safe optical scanning method, will send data and images to a dentist, who will be able to monitor how well dental treatments are working. The data and images collected by the device can be analyzed to discover where plaque and bacteria are present, providing a way to predict, and then prevent, disease. The wand will be able to prompt the user to address problem areas. This system, which will connect remote users to a dental provider, has the potential to improve the prevention and treatment of oral disease and the quality of life for people who do not have convenient access to regular, in-person dental care. To enable this vision, this project will develop a smart system that offers screening, surveillance, and prediction for people to improve their oral health and prevent disease. A mature technology of laser-based imaging that is spatially registered with fluorescence spectral analysis will be used to study the complexities of the oral biofilm and dental demineralization. The bacterial measurement is performed with a hand-held single wavelength optical scanning probe that forms images from both reflectance and fluorescence contrast, with the option of taking laser-induced fluorescence spectra for diagnosis of enamel demineralization. To provide a smart interface, the optical information will be analyzed to identify trends, a new modality for the dental field. With analyses of the fluorescence signal from the plaque deposits displayed as a trend, the user, in collaboration with clinician, can monitor variations in oral health and the effectiveness of treatments. The research team will use an iterative process to develop, design, evaluate, and refine the tool. The tool will be tested for three scenarios: (1) a plaque- and caries-screening program for a trained lay user on an untrained "patient" (e.g., parent for a child, school nurse for pupils, pediatrician for young children, or staff at a remote rural clinic for patients); (2) a caries surveillance program for trained lay users electronically connected to a dentist who can guide the use of the tool; and (3) a caries prediction program, initially for clinical users. This project brings together a multidisciplinary team from the University of Washington (UW), in Seattle, Washington, with expertise in human centered design, engineering, sensing and machine learning, oral biology, and dentistry: Eric J. Seibel (Principal Investigator, PI), Mechanical Engineering; Sean Munson (co-PI), Human Centered Design & Engineering; Shwetak Patel, Computer Science & Engineering; Zheng Xu, DDS, School of Dentistry, Pediatric Dentistry; Jeff McLean, School of Dentistry, Periodontics. Lead industry partner Water Pik, Inc. (Fort Collins, CO), brings experience and knowledge about building, marketing, and distributing advanced dental devices to consumers: Deborah Lyle, Director of Professional & Clinical Affairs, and Jay McCulloch, Vice President, Global Marketing, Oral Care. Broader context partners are UW CoMotion (Seattle, WA), a technology transfer partner; QualComm Tech, Inc. (San Diego, CA), a wireless technology leader; Open Photonics, Inc. (Winter Park, FL), a business partner; and the Alaska Native Tribal Health Consortium (Anchorage, AK), a non-profit community partner interested in the development of an optical diagnosis device for use with its rural beneficiaries.This award is partially supported by funds from the Directorate for Computer and Information Science and Engineering (CISE), Division of Computer and Network Systems (CNS).

在低收入和农村社区中，龋齿和牙龈疾病尤其普遍且严重，这些社区通常无法获得方便且负担得起的牙科护理。这些社区的成员更有可能参观需要手术治疗的口腔疾病晚期阶段的医院急诊室；这增加了家庭牙科护理的成本和负担医院资源的负担。蛀牙是美国儿童和青少年最常见的慢性疾病，尽管是一种可预防的疾病，但却是6-19岁。在2010年，未经处理的蛀牙或龋齿影响了全球24亿人。幼儿时期龋齿会导致疼痛，感染和不适。在成年人中，慢性口腔感染可能会增加早产和糖尿病和动脉粥样硬化（动脉硬化）等疾病的风险。该项目将开发一种手持电动牙刷样设备，并具有用户友好的界面，该界面可在家庭或乡村诊所中的社区卫生工作者中使用。使用安全的光学扫描方法的魔杖会将数据和图像发送给牙医，后者将能够监视牙科治疗的工作状况。可以分析设备收集的数据和图像，以发现存在斑块和细菌的位置，提供一种预测和预防疾病的方法。魔杖将能够提示用户解决问题区域。该系统将把远程用户与牙科提供者联系起来，有可能改善无法获得常规，面对面的牙科护理的人们的口腔疾病的预防和治疗以及生活质量。为了实现这一愿景，该项目将开发一个智能系统，为人们改善口腔健康和预防疾病提供筛查，监视和预测。通过荧光光谱分析在空间注册的基于激光的成像的成熟技术将用于研究口服生物膜和牙科脱矿化的复杂性。细菌测量是用手持单波长光学扫描探针进行的，该光学扫描探针从反射率和荧光对比中构成图像，并可以选择吸收激光诱导的荧光光谱以诊断搪瓷脱层。为了提供智能接口，将分析光学信息以识别趋势，这是牙科场的新模式。通过分析以趋势显示的斑块沉积物中荧光信号的分析，用户与临床医生合作可以监测口腔健康方面的变化和治疗的有效性。研究团队将使用迭代过程来开发，设计，评估和完善工具。该工具将针对三种情况进行测试：（1）针对未经训练的“患者”的训练有素的外行用户的牌匾和龋齿筛选计划（例如，儿童父母，学生的学校护士，儿童儿科医生，或偏远的乡村诊所的工作人员）；（2）针对训练有素的外行用户的CEAIS监视计划以电子方式连接到可以指导使用该工具的牙医；（3）最初针对临床用户的性仇恨预测计划。该项目汇集了华盛顿大学华盛顿大学华盛顿大学的一个多学科团队，并在人类以人为中心的设计，工程，感应和机器学习，口腔生物学和牙科方面具有专业知识：Eric J. Seibel（PI，PI，PIE，PI ），机械工业;肖恩·芒森（Co-Pi），人类以人为中心的设计与工程； Shwetak Patel，计算机科学与工程； Zheng Xu，DDS，儿科牙科牙科学院；牙科牙科学院Jeff McLean。领先行业合作伙伴Water Pik，Inc。（Collins，CO）为消费者带来了有关建造，营销和分销高级牙科设备的经验和知识：专业与临床事务总监Deborah Lyle以及Global，Global，Global副总裁Jay McCulloch营销，口腔护理。更广泛的背景合作伙伴是技术转移合作伙伴的UW Comotion（华盛顿州西雅图）；无线技术领导者高通科技公司（加利福尼亚州圣地亚哥）； Open Photonics，Inc。（佛罗里达州温特公园），商业伙伴；以及阿拉斯加土著部落卫生联盟（AK），非营利性社区合作伙伴，对开发与其农村受益人一起使用的光学诊断设备感兴趣。该奖项在计算机和信息科学局的资金中得到了部分支持。和工程（CISE），计算机和网络系统（CNS）的部门。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Opportunities for Oral Health Monitoring Technologies Beyond the Dental Clinic

牙科诊所之外的口腔健康监测技术的机会

DOI：
10.1145/3240925.3240973
发表时间：
2018
期刊：
PervasiveHealth'18
影响因子：
0
作者：
Parsons, Adele;Chung, Chia-Fang;Donohue, Molly;Munson, Sean A.;Seibel, Eric J.
通讯作者：
Seibel, Eric J.

Optical imaging of dental plaque pH

牙菌斑 pH 值的光学成像

DOI：
发表时间：
2020
期刊：
and Modeling
影响因子：
0
作者：
Chuqin Huang, Manuja Sharma
通讯作者：
Chuqin Huang, Manuja Sharma

Real-Time Camera Localization during Robot-Assisted Telecystoscopy for Bladder Cancer Surveillance

用于膀胱癌监测的机器人辅助膀胱镜检查期间的实时摄像头定位

DOI：
10.1142/s2424905x22410021
发表时间：
2022
期刊：
Journal of Medical Robotics Research
影响因子：
0
作者：
Gong, Chen;Zhou, Yaxuan;Lewis, Andrew;Chen, Pengcheng;Speich, Jason R.;Porter, Michael P.;Hannaford, Blake;Seibel, Eric J.
通讯作者：
Seibel, Eric J.

Near-infrared multispectral endoscopic imaging of deep artificial interproximal lesions in extracted teeth: NEAR-INFRARED MULTISPECTRAL ENDOSCOPIC IMAGING

拔牙深部人工邻间病变的近红外多光谱内窥镜成像：近红外多光谱内窥镜成像