Paper Info
Title
Extending XNAT towards a Cloud-Based Quality Assessment Platform for Retinal Optical Coherence Tomographies.
Abstract
Neurosciencific research is increasingly based on image analysis methods. Large sets of imaging data are processed using complex image analysis tools. While today magnetic resonance imaging (MRI) is widely used for both functional and anatomical analysis of the human brain, new imaging modalities are beginning to prove their capabilities for neurological research. Among them, optical coherence tomography (OCT) allows for noninvasive visualization of anatomical structures on a micrometer scale. Becoming a standard diagnostic tool in ophthalmology, it is of rising interest for neurological research. Crucial to all data analysis methods is the quality of the input data. The platform presented in this paper is designed for automatic quality assessment of retinal OCTs. It extends the image management platform XNAT by services to calculate and store quality measures. It is also extensible regarding new quality measure algorithms, allowing the developer to upload Matlab code, compile it for the infrastructure's hardware architecture and test it in the system. The image processing tools to calculate the quality measures are provided as a cloud-based service employing OpenStack as underlying IT infrastructure. The prototype implementation encompassing security and performance aspects are presented.
Year
DOI
Venue
2014
10.1109/CCGrid.2014.103
CCGrid
Keywords
DocType
ISSN
cloud computing,data analysis,medical image processing,neurophysiology,optical tomography,security of data,IT infrastructure,MRI,Matlab code uploading,Open Stack,XNAT,anatomical analysis,anatomical structures,automatic quality assessment,cloud-based quality assessment platform,complex image analysis tools,data analysis methods,diagnostic tool,functional analysis,hardware architecture,human brain,image analysis methods,image management platform,imaging data processing,magnetic resonance imaging,micrometer scale,neurological research,neurosciencific research,noninvasive visualization,ophthalmology,optical coherence tomography,quality measure algorithms,retinal OCTs,retinal optical coherence tomographies,security,IaaS,OCT,SaaS,XNAT,cloud,medical imaging,neuroimaging
Conference
2376-4414
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jie Wu181.70
Christoph Jansen2114.86
Maximilian Beier341.52
Michael Witt432.59
Dagmar Krefting522.21