Task Specific Project 4

任务特定项目 4

• 批准号: 8381295
• 负责人: Eva M. Sevick-Muraca
• 金额: --
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8381295
• 关键词: Algorithms; Animal Model; Animals; Anterior; Axilla; Caliber; Clinic; Clinical; Common iliac lymph node; Computer Systems; Computer software; Contrast Media; Custom; Data; Detection; Development; Diagnostic; Dose; Dyes; Elements; Family suidae; Fluorescence; Fluorescent Dyes; Forelimb; Glass; Gold; Hour; Human; Image; Imagery; Injection of therapeutic agent; Libraries; Lighting; Limb structure; Lymph; Lymphatic; Magnetic Resonance Imaging; Mammary gland; Measurement; Mercury; Methods; Metric; Modality; Modeling; Modification; Molds; Molecular; Neck; Nodal; Noise; Normal tissue morphology; Nuclear; Optical Tomography; PET/CT scan; Pattern; Plastics; Programming Languages; Publishing; Pythons; Research; Research Personnel; Resolution; Roentgen Rays; Scanning; Signal Transduction; Simulate; Software Tools; Solutions; Source; Staging; Surface; System; Systems Integration; Testing; Time; Tissues; Translating; Tube; Visit; Visual; Work; Writing; X-Ray Computed Tomography; base; charge coupled device camera; data acquisition; design; fluorescence imaging; image reconstruction; intradermal injection; lymph nodes; miniaturize; multimodality; optical imaging; reconstruction; research study; simulation; single photon emission computed tomography; software systems; tissue phantom; tomography; tool; tool development

Task Specific Project #4: Fluorescence Lymph Node Tomography In this Specific Task Project #4, we will integrate the parallelized adaptive finite element based tomography algorithms to the miniaturized FDPM measurement setup for maximal data flow. We break down the task of translating NIR lymph node tomography into clinic into the following four specific research aims spread over years 2 and 3 of the proposed research. CT contrast agents as well to acquire CT scanned images of the tissue phantoms that will act as gold standard images for validating tomography results. Experimental studies will be carried out to determine: (i) minimal concentration of dye required for accurate tomographic localization, (ii) minimal distance at which two node-like targets can be resolved, (iii) minimal node size which can be reconstructed, and (iv) optimal NIR excitation illumination patterns for resolving lymphatic networks. Specific Task #3 Validate tomographic measurements and algorithms for lymph node detection in Swine We expect that by the end of the first year, the mobile photogrammetric system and software will be ready and integrated with the miniaturized FDPM imaging system for clinical LN tomography. We will validate the NIR fluorescence FDPM system and algorithms in swine. In previous published work, researchers from Dr. Sevick's group have demonstrated the ability to successfully image and quantify lymph propulsion of fluorescent dyes in Yorkshire swine after ID administration [137]. In this specific aim, NIR lymph fluorescence measurements will be acquired by injecting NIR dye in three major regions: (i) along the mammary chain to visualize lymphatics draining into inguinal nodes, (ii) in the anterior and posterior hind limbs for tracking flow to inguinal and iliac and sub-iliac lymph nodes, and (iii) in the anterior and posterior forelimbs to track flow into axilla and neck regions. Twleve intradermal injections of IDOiiL each will be performed per animal; after 6 hours of imaging, animals will be euthanized. The objective of animal imaging studies under this specific aim will be to determine an optimal agent dose concentration for high fidelity reconstructed images. The optimal concentration of injected contrast agents will be determined by imaging 10 animals with the injection dose decreasing from 24 ug NIR dye per animal (that corresponds to the maximum microdose of ICG in humans) to 0.24 |jg NIR dye per animal. Reconstructed images will be analyzed with two metrics: (i) signal to noise ratio (SNR), and (ii) target to background (TBR) of the lymphatics compared to normal tissue.

任务特定项目#4：荧光淋巴结断层扫描 在这个特定任务项目#4中，我们将集成并行化的基于自适应有限元的层析成像 算法的小型化FDPM测量设置最大的数据流。我们将任务分解为 将近红外淋巴结断层扫描技术应用于临床，有以下四个具体的研究目标， 第二年和第三年的研究计划。 CT造影剂以及采集组织体模的CT扫描图像，作为金标准 用于验证断层扫描结果的图像。将进行实验研究，以确定：（i）最小 准确的断层摄影定位所需的染料浓度，（ii）两个节点样 可以分辨目标，（iii）可以重建的最小节点尺寸，以及（iv）最佳NIR激发 用于解析淋巴网络的照明模式。 特定任务#3：用于淋巴结检测的X射线断层扫描测量和算法， 我们预计，到第一年年底，移动的摄影测量系统和软件将 准备好并与用于临床LN断层扫描的小型化FDPM成像系统集成。我们将验证 猪的近红外荧光FDPM系统和算法。在以前发表的工作中，来自博士的研究人员。 Sevick的小组已经证明了成功成像和量化淋巴推进的能力， ID给药后约克郡猪体内的荧光染料[137]。在这个特定的目标中，NIR淋巴荧光 将通过在三个主要区域注射NIR染料来获得测量结果：（i）沿乳房链沿着， 可视化引流到腹股沟淋巴结的淋巴管，（ii）在前后肢和后后肢中，用于跟踪流量， 腹股沟和髂和髂下淋巴结，和（iii）在前和后前肢中，以跟踪流入 腋窝和颈部区域。每只动物皮内注射IDOiiL两次; 6次后， 小时的成像，动物将被安乐死。 在此特定目标下的动物成像研究的目的将是确定最佳药剂剂量 用于高保真重建图像的浓度。注射造影剂的最佳浓度将 通过对10只动物进行成像来确定，其中注射剂量从每只动物24 μ g NIR染料（即 相当于人体内ICG的最大微剂量）至0.24| 1g NIR染料/动物。重构 图像将用两个度量进行分析：（i）信噪比（SNR），和（ii）与正常组织相比的散射的目标与背景（TBR）。