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。

• 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

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).

龋齿和牙龈疾病在低收入和农村社区特别普遍和严重，这些社区往往无法获得方便和负担得起的牙科护理。这些社区的成员更有可能去医院急诊科就诊，因为口腔疾病处于晚期，需要手术治疗;这增加了家庭的牙科护理费用，加重了医院资源的负担。蛀牙是美国6-19岁儿童和青少年中最常见的慢性疾病，尽管它是一种可预防的疾病。2010年，未经治疗的蛀牙或龋齿影响了全球24亿人。幼儿龋齿导致疼痛、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。该项目将开发一种类似电动牙刷的手持设备，具有用户友好的界面，可在家庭或学校或农村诊所的社区卫生工作者中使用。该魔杖使用安全的光学扫描方法，将数据和图像发送给牙医，牙医将能够监测牙科治疗的效果。该设备收集的数据和图像可以进行分析，以发现斑块和细菌存在的位置，从而提供一种预测和预防疾病的方法。Wand将能够提示用户解决问题区域。该系统将远程用户与牙科提供者连接起来，有可能改善口腔疾病的预防和治疗，并改善无法方便地获得定期面对面牙科护理的人的生活质量。为了实现这一愿景，该项目将开发一个智能系统，为人们提供筛查、监测和预测，以改善口腔健康和预防疾病。一种成熟的基于激光的成像技术，空间配准与荧光光谱分析将被用来研究口腔生物膜和牙齿脱矿的复杂性。使用手持式单波长光学扫描探头进行细菌测量，该探头从反射率和荧光对比度形成图像，并可选择采用激光诱导荧光光谱诊断釉质脱矿。为了提供智能界面，将分析光学信息以识别趋势，这是牙科领域的一种新模式。通过分析牙菌斑沉积物的荧光信号显示为趋势，用户可以与临床医生合作，监测口腔健康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、评估和改进该工具。该工具将在三种情况下进行测试：（1）针对未经培训的“患者”（例如，儿童的父母、小学生的学校护士、幼儿的儿科医生或偏远农村诊所的患者工作人员）;（2）龋齿监测程序，用于与牙医电子连接的受过训练的非专业用户，牙医可以指导工具的使用;以及（3）龋齿预测程序，最初用于临床用户。该项目汇集了来自华盛顿西雅图的华盛顿大学（UW）的多学科团队，他们在以人为本的设计、工程、传感和机器学习、口腔生物学和牙科方面具有专业知识：Eric J. Seibel（首席研究员，PI），机械工程; Sean Munson（共同PI），以人为本的设计工程; Shwetak Patel，计算机科学工程; Zheng Xu，DDS，牙科学院，儿科牙科; Jeff姆克林，牙科学院，牙周病学。领先的行业合作伙伴Water Pik，Inc. (Fort柯林斯，CO），带来了经验和知识的建设，营销和分销先进的牙科设备给消费者：黛博拉莱尔，专业临床事务总监，和杰伊麦卡洛克，副总裁，全球营销，口腔护理。更广泛的合作伙伴是技术转让合作伙伴UW CoMotion（华盛顿州西雅图）; QualComm Tech，Inc. (San Diego，CA），无线技术领导者; Open Photonics，Inc.（Winter Park，FL），一个商业合作伙伴;和阿拉斯加土著部落健康联盟（Anchorage，AK），一个非营利社区合作伙伴，对开发一种光学诊断设备感兴趣，以供其农村受益者使用。该奖项部分由计算机和网络系统（CNS）部门的计算机和信息科学与工程局（CISE）的资金支持。

项目成果

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
• 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

• 发表时间: 2020
• 期刊: and Modeling
• 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
• 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

• DOI: 10.1002/lsm.23065
• 发表时间: 2019
• 期刊: Lasers in Surgery and Medicine
• 影响因子: 2.4
• 作者: Zhou, Yaxuan;Lee, Robert C.;Finkleman, Sara;Sadr, Alizera;Seibel, Eric J.
• 通讯作者: Seibel, Eric J.

Optical pH measurement system using a single fluorescent dye for assessing susceptibility to dental caries

• DOI: 10.1117/1.jbo.24.1.017001
• 发表时间: 2019-01
• 期刊: Journal of Biomedical Optics
• 影响因子: 3.5
• 作者: Manuja Sharma;Jasmine Y. Graham;Philip A Walczak;R. Nguyen;Lauren K. Lee;Matthew D. Carson;Leonard Y. Nelson;Shwetak N. Patel;Zheng Xu;E. Seibel