%L eprints1515
%A Massimo Minervini
%A Mario Damiano
%A Valter Tucci
%A Angelo Bifone
%A Alessandro Gozzi
%A Sotirios A. Tsaftaris
%B Proceedings of the 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), 2012 
%X The combined use of mice that have genetic mutations (transgenic mouse models) of human pathology and advanced neuroimaging methods (such as MRI) has the potential to radically change how we approach disease understanding, diagnosis and treatment. Morphological changes occurring in the brain of transgenic animals as a result of the interaction between environment and genotype, can be assessed using advanced image analysis methods, an effort described as ?mouse brain phenotyping?. However, the computational methods required for the analysis of high-resolution brain images are demanding. In this paper, we propose a computationally effective cloud-based implementation of morphometric analysis of high-resolution mouse brain datasets. We show that the proposed approach is highly scalable and suited for a variety of methods for MR-based brain phenotyping. The proposed approach is easy to deploy, and could become an alternative for laboratories that may require instant access to large high performance computing infrastructure.
%I IEEE
%P 55-60
%T Mouse neuroimaging phenotyping in the cloud
%K High performance computing; MRI; cloud; computer vision; image analysis; neuroimaging; phenotyping
%D 2012
%R 10.1109/IPTA.2012.6469527