A portable photoacoustic imager for diagnosing vascular diseases

用于诊断血管疾病的便携式光声成像仪

• 批准号: 10058614
• 负责人: Sri Rajasekhar Kothapalli
• 金额: $ 18.38万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-17 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10058614
• 关键词: 3-Dimensional; Adipose tissue; Affect; Age; Animals; Anticoagulants; Arteriovenous malformation; Award; Blood; Blood Vessels; Blood Volume; Blood coagulation; Blood flow; Brown Fat; Care Technology Points; Cause of Death; Chronic; Clinical; Clinical Research; Collaborations; Computer software; Computers; Contrast Media; Coupled; Data; Deep Vein Thrombosis; Devices; Diagnosis; Diagnostic; Disease; Doppler Ultrasound; Electronics; Engineering; Epidemic; Fiber Optics; Functional Imaging; Ghana; Goals; Health; Health Personnel; Hemangioma; Hematoma; Hemoglobin; Hospitals; Human; Human Resources; Image; Imaging Device; Imaging technology; India; Infant; Institutes; Label; Lasers; Light; Lighting; Lipids; Magnetic Resonance Imaging; Maps; Measurement; Measures; Medical; Medical center; Modeling; Molecular; Monitor; Morphologic artifacts; Motion; Multi-site clinical study; Noise; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Optics; Oxygen; Patients; Performance; Peripheral arterial disease; Phase; Physicians; Population Heterogeneity; Radiation; Rattus; Research Personnel; Resolution; Resources; Risk; Science; Screening procedure; Sensitivity and Specificity; Signal Transduction; Source; Statistical Data Interpretation; Stroke; Structure; System; Techniques; Technology; Testing; Time; Tissues; Ultrasonic Transducer; Ultrasonography; Vascular Diseases; Venous Insufficiency; absorption; age group; aging population; cost; cost effective; data acquisition; deep learning algorithm; design; falls; global health; imager; imaging capabilities; imaging platform; imaging system; in vivo; light scattering; miniaturize; neonate; next generation; older patient; phantom model; photoacoustic imaging; point of care; portability; preclinical study; prognostic; programs; research clinical testing; screening; time use; tissue phantom; transmission process

Project Summary/Abstract Vascular diseases are the leading cause of death worldwide. Some common vascular diseases include: cardio vascular disease, stroke, and peripheral artery disease (PAD). Many of these vascular diseases need point-of- care (POC) diagnosis and monitoring using non-ionizing, non-invasive and cost-effective approaches. Although Doppler ultrasound meets all these requirements, it only maps blood flow, which is operator dependent and influenced by motion artifacts, resulting in limited sensitivity and specificity to detect the disease in its early stage. A POC technique that provides direct label-free molecular and functional information of vasculature is needed to reliably detect and monitor vascular diseases. A mobile photoacoustic imager (mPAI) is proposed for diagnosing various vascular diseases in resource poor settings of the world. Leveraging on strong multispectral optical absorption of oxy- and de-oxy hemoglobins, the mPAI is capable of providing multi-parametric information of deep vasculature, such as blood oxygen saturation, plaque lipids, blood flow and blood clot. The mPAI is non-invasive, real time and uses non-ionizing optical and ultrasound radiation. This will be the first and perhaps the only portable technology capable of deriving such multiparametric functional information of deep vasculature without the use of contrast agents. Competing technologies cannot provide such a direct information of vascular health, and certainly not in a compact portable device form. Health care providers can use the mPAI to instantly diagnose several vascular diseases affecting humans of all ages, including infants. In the R21 phase, Aim1 will design and develop the mPAI, integrating the low-cost optical illumination and piezoelectric micromachined ultrasound transducer (PMUT) arrays. Dr. Rundra Pratap team from the Indian Institute of Science (IISc), Bangalore, will design and fabricate the PMUT arrays. Dr. Kothapalli team will develop the mPAI and validate its performance on tissue mimicking vascular phantoms in Aim 1, and rat models of PAD in Aim 2. The ultimate goal of the two-year R21 phase is to achieve a clinical grade mPAI device with reliable vascular imaging metrics. In the R33 phase, to test the clinical performance of the mPAI, the following multicenter pilot clinical studies on PAD patients will be conducted in 1) Penn State Hershey medical center, 2) Vikram Hospital in India through collaborations with the IISc team, and 3) in Ghana in Year 5 with the help of Dr. Colette Pameijer of Penn State who conducts medical camps in Ghana every year through Penn State Global Health Program. Clinical studies in R33 phase will be undertaken only if well-defined milestones are achieved in the R21 phase. The overall goal of these studies is to carefully validate the clinical potential of emerging label-free photoacoustic imaging technology to screen for vascular diseases, in a portable form, in resource poor settings of the world.

项目摘要/摘要 血管疾病是全球死亡的主要原因。一些常见的血管疾病包括：有氧运动 血管疾病，中风和周围动脉疾病（PAD）。这些血管疾病中的许多需要 - 使用非离子化，非侵入性和成本效益的方法来诊断（POC）诊断和监测。虽然 多普勒超声符合所有这些要求，仅映射血流，即依赖操作员， 受运动伪影的影响，导致有限的灵敏度和特异性在早期阶段检测到该疾病。 需要一种POC技术，可提供无标记的无标签分子和脉管系统的功能信息 可靠地检测并监测血管疾病。 提出了一种移动光声成像器（MPAI），用于诊断资源差的各种血管疾病 世界的设置。利用强烈的多光谱光学吸收的氧和脱氧血红蛋白， MPAI能够提供深脉管系统的多参数信息，例如血氧饱和， 斑块脂质，血流和血块。 MPAI是无创的，实时的，并使用非离子化光学和 超声辐射。这将是第一个也许是唯一能够得出此类的便携式技术 深脉管系统的多参数功能信息，无需使用造影剂。竞争 技术无法提供这种血管健康的直接信息，当然也不能提供紧凑的便携式信息 设备表格。医疗保健提供者可以使用MPAI立即诊断出几种影响的血管疾病 各个年龄段的人，包括婴儿。 在R21阶段，AIM1将设计和开发MPAI，集成了低成本的光学照明和 压电微机械超声传感器（PMUT）阵列。来自印度的Rundra Pratap团队 班加罗尔科学学院（IISC）将设计和制造PMUT阵列。 Kothapalli博士团队将发展 MPAI并验证其在AIM 1中模仿血管幻象的组织上的性能，而大鼠垫模型 在AIM 2中。两年R21阶段的最终目标是实现具有可靠的临床级MPAI设备 血管成像指标。 在R33阶段，为了测试MPAI的临床性能，以下多中心临床研究 在PAD患者中，将在1）宾夕法尼亚州立医生医学中心，2）印度维克拉姆医院通过 在宾夕法尼亚州立大学的Colette Pameijer博士的帮助下，与IISC团队的合作和3）在加纳的3年 他每年通过宾夕法尼亚州全球健康计划在加纳举办医疗营。临床研究 在R33阶段，只有在R21阶段实现明确的里程碑时才能进行。 这些研究的总体目的是仔细验证新兴标签的临床潜力 光声成像技术以便携式形式筛查血管疾病，以资源不良的设置 世界。