eprintid: 1515
rev_number: 9
eprint_status: archive
userid: 35
dir: disk0/00/00/15/15
datestamp: 2013-03-06 10:07:58
lastmod: 2013-03-12 09:32:21
status_changed: 2013-03-06 10:07:58
type: book_section
metadata_visibility: show
creators_name: Minervini, Massimo
creators_name: Damiano, Mario
creators_name: Tucci, Valter
creators_name: Bifone, Angelo
creators_name: Gozzi, Alessandro
creators_name: Tsaftaris, Sotirios A.
creators_id: massimo.minervini@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: sotirios.tsaftaris@imtlucca.it
title: Mouse neuroimaging phenotyping in the cloud
ispublished: pub
subjects: QA75
subjects: RC0321
divisions: CSA
full_text_status: none
keywords: High performance computing; MRI; cloud; computer vision; image analysis; neuroimaging; phenotyping
abstract: 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.
date: 2012
date_type: published
publisher: IEEE
pagerange: 55-60
event_title: Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
id_number: 10.1109/IPTA.2012.6469527
refereed: TRUE
isbn: 978-1-4673-2585-1
book_title: Proceedings of the 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), 2012 
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6469527&isnumber=6469475
citation:   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)