IMAGE AND MODEL BASED ANALYSIS OF LUNG DISEASE

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 炎症性实质性肺病很常见，是致残和过早死亡的重要原因。这些疾病是亚急性/慢性或慢性炎症过程的结果，并与吸烟有关，无论是原因还是修饰因素。目前评估这些疾病的方法包括肺功能测量、放射学技术，如CT，或基于放射性核的通风/灌注肺扫描或肺病理学。这些方法要么不是针对这种疾病的，不是客观的，要么是不容易复制的。我们建议开发一套客观的、可重复性的检测炎症性肺病的方法。这些措施结合了功能和结构，并量化了体内亚急性/慢性肺实质炎症的影响。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Inflammatory parenchymal lung diseases are common, and are significant causes of disability and premature death. These diseases are the result of subacute/chronic or chronic inflammatory processes, and are linked to cigarette smoking, either as a cause or a modifying agent. Current methods for the assessment of these disorders include measures of lung function, radiologic techniques such as CT, or radionuclear-based ventilation/perfusion lung scans or lung pathology. These methods are either not specific to the disease, are not objective, or cannot easily be reproduced. We propose to develop an objective, reproducible series of measures specific for inflammatory lung disease detection. These measures incorporate function as well as structure, and quantify the effects of subacute/chronic pulmonary parenchymal inflammation in vivo.