IMPROVED ANALYTIC MODELS FOR ANALYSIS OF DCE-MRI DATA SETS

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。 用于DCE-MRI数据集的图像重建和分析的分析模型 肿瘤血管动力学参数。这些努力将应用于中央ACRIN 以DCE-MRI为基础的几种主动成像协议的核心实验室分析 成像终端。其中包括ACRIN-6676(DCE-MRI用于评估肾细胞癌 对双重靶向治疗的反应)，ACRIN 6677(脑肿瘤灌注MRI分期 和光谱学)和ACRIN PA-4002(DCE-MRI用于评估结直肠早期反应 使用Bevacizumab治疗癌症)。

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. Analytic models for image reconstruction and analysis of DCE-MRI data sets in order to define kinetic parameters of tumor vascularity. These efforts will be applied toward central ACRIN DCE-MRI core lab analyses of several active imaging protocols which use DCE-MRI as an imaging endpoint. These include ACRIN-6676 (DCE-MRI for evaluation of renal cell carcinoma response to doublet targeted therapies), ACRIN 6677 (Brain tumor staging with perfusion MRI and spectroscopy), and ACRIN PA-4002 (DCE-MRI for evaluating early response of colorectal cancer to treatment with Bevacizumab).