IMAGE AND MODEL BASED ANALYSIS OF LUNG DISEASE

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。炎性肺实质疾病是常见的，并且是残疾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，并且与吸烟有关，无论是作为病因还是作为修饰剂。目前用于评估这些疾病的方法包括肺功能的测量、放射学技术如CT或基于放射性核的通气/灌注肺扫描或肺病理学。这些方法要么不是针对疾病的，要么不客观，要么不容易复制。我们建议开发一个客观的，可重复的一系列措施，具体的炎症性肺部疾病的检测。这些措施包括功能以及结构，并量化体内亚急性/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.