Methods Inf Med - Progressive data transmission for anatomical landmark detection in a cloud.

Tópicos

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Resumo

CKGROUND: In the concept of cloud-computing-based systems, various authorized users have secure access to patient records from a number of care delivery organizations from any location. This creates a growing need for remote visualization, advanced image processing, state-of-the-art image analysis, and computer aided diagnosis.OBJECTIVES: This paper proposes a system of algorithms for automatic detection of anatomical landmarks in 3D volumes in the cloud computing environment. The system addresses the inherent problem of limited bandwidth between a (thin) client, data center, and data analysis server.METHODS: The problem of limited bandwidth is solved by a hierarchical sequential detection algorithm that obtains data by progressively transmitting only image regions required for processing. The client sends a request to detect a set of landmarks for region visualization or further analysis. The algorithm running on the data analysis server obtains a coarse level image from the data center and generates landmark location candidates. The candidates are then used to obtain image neighborhood regions at a finer resolution level for further detection. This way, the landmark locations are hierarchically and sequentially detected and refined.RESULTS: Only image regions surrounding landmark location candidates need to be trans- mitted during detection. Furthermore, the image regions are lossy compressed with JPEG 2000. Together, these properties amount to at least 30 times bandwidth reduction while achieving similar accuracy when compared to an algorithm using the original data.CONCLUSIONS: The hierarchical sequential algorithm with progressive data transmission considerably reduces bandwidth requirements in cloud-based detection systems.

Resumo Limpo

ckground concept cloudcomputingbas system various author user secur access patient record number care deliveri organ locat creat grow need remot visual advanc imag process stateoftheart imag analysi comput aid diagnosisobject paper propos system algorithm automat detect anatom landmark d volum cloud comput environ system address inher problem limit bandwidth thin client data center data analysi servermethod problem limit bandwidth solv hierarch sequenti detect algorithm obtain data progress transmit imag region requir process client send request detect set landmark region visual analysi algorithm run data analysi server obtain coars level imag data center generat landmark locat candid candid use obtain imag neighborhood region finer resolut level detect way landmark locat hierarch sequenti detect refinedresult imag region surround landmark locat candid need tran mit detect furthermor imag region lossi compress jpeg togeth properti amount least time bandwidth reduct achiev similar accuraci compar algorithm use origin dataconclus hierarch sequenti algorithm progress data transmiss consider reduc bandwidth requir cloudbas detect system

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