Tosun Duygu, Schuff Norbert, Weiner Michael
Imaging Neurodegenerative Diseases, VA Medical Center (114M), 4150 Clement St., San Francisco, CA 94121, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6981-4. doi: 10.1109/IEMBS.2009.5333857.
Multimodality MR image processing and analysis aims to determine to what extent information from various imaging modalities is redundant or complementary and how changes in various regions of the brain, detected by various modalities, interact with each other to produce cognitive and functional changes. Here, we presented a multimodality image processing framework to integrate unique and complementary observations on anatomical and physiological brain changes measured by structural and perfusion MR imaging modalities. A unique aspect to this study is that we performed a test on mediation hypothesis that requires a model based on measurements from both MR imaging modalities. Our findings from these integrated multi-modality analysis were congruent with previously published results on neuropathology of AD patients and supplied a comprehensive explanation on the integration between structural atrophy and physiological deterioration due to AD.
多模态磁共振图像处理与分析旨在确定来自各种成像模态的信息在多大程度上是冗余的或互补的,以及通过各种模态检测到的大脑不同区域的变化如何相互作用以产生认知和功能变化。在此,我们提出了一个多模态图像处理框架,以整合通过结构和灌注磁共振成像模态测量的关于大脑解剖和生理变化的独特且互补的观察结果。本研究的一个独特之处在于,我们对中介假设进行了测试,该假设需要一个基于两种磁共振成像模态测量结果的模型。我们从这些综合多模态分析中得到的结果与先前发表的关于阿尔茨海默病患者神经病理学的结果一致,并为阿尔茨海默病导致的结构萎缩和生理退化之间的整合提供了全面解释。