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 在这个特定的任务项目＃4中，我们将集成基于自适应的有限元层析成像 用于最大数据流的小型FDPM测量设置的算法。我们分解了 将NIR淋巴结断层扫描转化为诊所，以下四个特定的研究目标 拟议研究的第2年和第3年。 CT对比剂以及获取将充当金标准的组织幻象的CT扫描图像 用于验证层析成像结果的图像。实验研究将进行确定：（i）最小 精确层析成像定位所需的染料浓度，（ii）两个节点样的最小距离 可以解决目标，（iii）可以重建的最小节点大小，并且（iv）最佳NIR激发 解决淋巴网络的照明模式。 特定任务＃3验证淋巴结检测的层析成像测量和算法检测 我们希望猪在第一年结束时，移动摄影测量系统和软件将是 准备并与用于临床LN断层扫描的小型FDPM成像系统结合在一起。我们将验证 NIR荧光FDPM系统和猪中的算法。在先前发表的作品中，来自博士的研究人员 塞维克的小组已经证明了成功形象和量化淋巴推进的能力 ID给药后约克郡猪的荧光染料[137]。在这个特定目的中，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：（i）沿乳腺链 可视化淋巴管排入腹股沟淋巴结，（ii）在前后的后肢和后肢，以跟踪流向 腹股沟和叶胎和亚iliac淋巴结，（iii）在前前后前肢，以跟踪流入流入的流动 腋和颈部区域。每只动物将对每只iDoiil进行二次注射; 6之后 成像数小时，动物将被安乐死。 在此特定目的下的动物成像研究的目的是确定最佳剂剂量 高保真度重建图像的浓度。注射对比剂的最佳浓度将 通过成像10只动物，注射剂量从每只动物的24个UG NIR染料降低（该动物） 对应于人类中ICG的最大微剂量），每只动物的0.24 | JG NIR染料。重建 与正常组织相比，将使用两个指标分析图像：（i）信号与噪声比（SNR）和（ii）淋巴机的靶标（tbr）。