CAREER: Smart and scalable approaches for developing multimodal optical and acoustic imaging technologies

职业：开发多模态光学和声学成像技术的智能且可扩展的方法

• 批准号: 2238878
• 负责人: Sri-Rajasekhar Kothapalli
• 金额: $ 52.87万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2028-02-29
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238878&HistoricalAwards=false
• 关键词: CAREER; Smart; scalable; approaches; developing

In vivo imaging is an integral part of basic life science research and also plays a critical role in diagnosis of several diseases in clinic. Unlike in vitro diagnostics, in vivo imaging is non-destructive and repeatable, but typically provides information about one or two biological parameters at a given time. Study or detection of complex diseases in a living subject requires information about anatomical, functional (e.g., oxygen saturation), and molecular biomarkers. Therefore, multimodal imaging methods combining conventional imaging techniques - such as Magnetic Resonance Imaging, Position Emission Tomography and X-Ray Computer Tomography - have gained clinical importance. However, these multimodal technologies are expensive and not suitable for point-of-care (POC) imaging applications. This CAREER project will develop and integrate optical, ultrasound and photoacoustic technologies and demonstrate reliable multimodal POC imaging. The educational outreach activities will prepare female and underrepresented K-12, undergraduate, and graduate students for next generation biomedical imaging device innovation.The overarching goal of this proposal is to build an integrated research, education and outreach program centered on the science and engineering of next generation smart, affordable, portable, and non-ionizing, multimodal imaging and sensing devices. The research objective is to develop a novel multimodal optical, photoacoustic, and ultrasound imaging platform built at the interface of transparent ultrasound transducer technology, model-based data science tools and artificial intelligence. The platform will be validated for studying neural activity in brain cancer models. The educational objective is to prepare STEM leaders (at K-12, undergraduate and graduate levels) for advancing innovations in smart biomedical imaging and sensing devices through focused seminars and workshops for teachers, live demo of portable ultrasound imaging and inexpensive ultrasound bioreactor for cell stimulation, and new teaching materials at the intersection of multimodal sensing and AI.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.

活体成像是基础生命科学研究的重要组成部分，在临床多种疾病的诊断中也发挥着至关重要的作用。与体外诊断不同，体内成像是非破坏性且可重复的，但通常提供给定时间的一个或两个生物参数的信息。研究或检测活体中的复杂疾病需要有关解剖、功能（例如氧饱和度）和分子生物标志物的信息。因此，结合传统成像技术（例如磁共振成像、位置发射断层扫描和 X 射线计算机断层扫描）的多模态成像方法已获得临床重要性。然而，这些多模态技术价格昂贵且不适合即时护理 (POC) 成像应用。该职业项目将开发和集成光学、超声和光声技术，并展示可靠的多模态 POC 成像。教育推广活动将为女性和代表性不足的 K-12、本科生和研究生做好下一代生物医学成像设备创新的准备。该提案的总体目标是建立一个以科学和工程为中心的综合研究、教育和推广计划。下一代智能、经济实惠、便携式、非电离、多模态成像和传感设备。研究目标是开发一种新型多模态光学、光声和超声成像平台，该平台建立在透明超声换能器技术、基于模型的数据科学工具和人工智能的接口上。该平台将被验证用于研究脑癌模型中的神经活动。教育目标是通过针对教师的重点研讨会和讲习班、便携式超声成像和用于细胞刺激的廉价超声生物反应器的现场演示，培养 STEM 领导者（K-12、本科生和研究生水平）推进智能生物医学成像和传感设备的创新以及多模态传感和人工智能交叉领域的新教材。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。