PROJECT TITLE :

Scalable pCT Image Reconstruction Delivered as a Cloud Service - 2018

ABSTRACT:

We describe a cloud-based medical image reconstruction service designed to meet a true-time and daily demand to reconstruct thousands of pictures from proton cancer treatment facilities worldwide. Rapid reconstruction of a 3-dimensional Proton Computed Tomography (pCT) image will require the transfer of a hundred GB of information and use of approximately one hundred twenty GPU-enabled compute nodes. The nature of proton therapy means that that demand for such a service is sporadic and comes from potentially hundreds of clients worldwide. We thus explore the utilization of a business cloud as a scalable and value-economical platform for pCT reconstruction. To handle the high performance requirements of this application we have a tendency to leverage Amazon Web Services' GPU-enabled cluster resources that are provisioned with high performance networks between nodes. To support episodic demand, we have a tendency to develop an on-demand multi-user provisioning service which will dynamically provision and resize clusters primarily based on image reconstruction requirements, priorities, and wait times. We compare the performance of our pCT reconstruction service running on business cloud resources with that of the identical application on dedicated local high performance computing resources. We show that we tend to will achieve scalable and on-demand reconstruction of large scale pCT pictures for simultaneous multi-client requests, processing pictures in less than ten minutes for less than $10 per image.


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