IMAGE ANALYSIS OF VASCULAR CASTS

血管管型的图像分析

• 批准号: 6390380
• 负责人: Clyde H Barlow
• 金额: $ 34.03万
• 依托单位: BARLOW SCIENTIFIC, INC.
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-05-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6390380
• 关键词: artery; bioimaging /biomedical imaging; biomedical automation; biomedical equipment development; cardiovascular imaging /visualization; digital imaging; fluorescence; image processing; laboratory rat; measurement; microcirculation; sectioning

The goal of this research is to develop rapid, automated instrumentation procedures for detailed analysis of complete arterial networks in hearts. Measured parameters will include arterial diameter, frequency of arterial branching, branch lengths, and angles. This research is based on the working hypothesis that data for rapid reconstruction of detailed vascular maps can be obtained from digital fluorescence images of freshly exposed surfaces during serial sectioning of tissue blocks containing fluorescent vascular filling compound in the vascular network. During Phase I, an imaging cryomicrotome was modified to obtain vascula filling compound fluorescence images from rat hearts and lungs during serial sectioning. Optimal conditions for arterial filling and for image collection were explored. Prelminary analysis sofiware was developed. Phase II studies will involve correlations of vascular structure and vascular flow in heart and vascular structure and pulmonary function in lungs through collaborations with subcontractors at the University of Washington. During Phase II, efforts will be concentrated on soflware development to convert image data into databases sultable for physiological network analysis. This project will provide physiology and microcirculation researchers 'with an improved and affordable tool for vascular network mapping and for network analysis of vascular, pulmonary, neural and other networks in biological systems. PROPOSED COMMERCIAL APPLICATIONS: This technology would automate methods for evaluating vascular networks. Procedures that currently take months to years will be shortened to hours and days. Potential markets include research laboratories currently studying vascular branching and a large number of additional researchers who could now evaluate questions of vascular physiology that could not previously be answered due to time consumption and cost of data acquisition and analysis.

这项研究的目的是开发快速，自动化的仪器程序，以详细分析心脏中完整的动脉网络。测得的参数将包括动脉直径，动脉分支的频率，分支长度和角度。这项研究基于这样的假设，即可以从新鲜裸露的表面的数字荧光图像中快速重建详细的血管图的数据，这些荧光图像在含有荧光血管填充化合物的组织块的串行分段期间，可以从新鲜暴露的表面的数字荧光图像获得。在第一阶段，修改了成像冷冻组合体，以从串行切片期间从大鼠心脏和肺中获得Vascula填充化合物荧光图像。探索了动脉填充和图像收集的最佳条件。开发了初步分析SOFIWARE。第二阶段的研究将涉及通过与华盛顿大学的分包商的合作，肺部血管结构和血管结构和血管结构和肺功能的相关性。在第二阶段，努力将集中在Soflware开发上，以将图像数据转换为可用于生理网络分析的数据库。该项目将为生理学和微循环研究人员提供一种改进且负担得起的工具，用于血管网络映射，以及用于生物系统中血管，肺，神经和其他网络的网络分析。建议的商业应用：该技术将自动化评估血管网络的方法。目前需要几个月到数年的程序将缩短为小时和数天。潜在的市场包括目前正在研究血管分支的研究实验室以及许多其他研究人员现在可以评估血管生理问题的问题，而血管生理学问题以前由于时间消耗以及数据获取和分析成本而无法回答。