Minervini, Massimo and Damiano, Mario and Tucci, Valter and Bifone, Angelo and Gozzi, Alessandro and Tsaftaris, Sotirios A. Mouse neuroimaging phenotyping in the cloud. In: Proceedings of the 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), 2012. IEEE, pp. 55-60. ISBN 978-1-4673-2585-1 (2012)Full text not available from this repository.
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.
|Item Type:||Book Section|
|Uncontrolled Keywords:||High performance computing; MRI; cloud; computer vision; image analysis; neuroimaging; phenotyping|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
|Research Area:||Computer Science and Applications|
|Depositing User:||Users 35 not found.|
|Date Deposited:||06 Mar 2013 10:07|
|Last Modified:||12 Mar 2013 09:32|
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