CT2S hospital based workflow Sample Clauses

CT2S hospital based workflow. This section summarises developments of the CT2S hospital-facing workflow implementation, reported in a recent conference abstract for the CompBioMed conference 2019 [4]. To improve clinical uptake of HPC technology there is a need to provide direct access to HPC workflows to clinical end-users without exposing the complexity of the underlying HPC environment. The Computed Tomography to Strength (CT2S) use case (further details are provided in Section 11.2 below) uses HPC approaches to provide quantitative metrics of bone strength based on CT images. This provides an opportunity to adapt an existing software framework developed to expose the CT2S workflow using a web service approach, in order to deliver the workflow directly to the clinical end- users. The request to perform a computational analysis and the return of an analysis report is made directly from the clinical environment by either the requesting clinician or a nominated representative. The hospital and university infrastructures of the workflow have been developed to specifically be deployed in a typical clinical/university setting. However, in collaboration with WP5 we are working towards a detailed description of the data transfer requirements and metadata scheme that will provide a solid basis for the re-creation of the same workflow in other non-UK settings (for example using EUDAT services). The engineering elements of the workflow consist of semi-automated segmentation of bones from CT images in DICOM format, 3D mesh generation, local material property definition based on CT attenuation, solution of the model over several loading conditions using FEM through the estimation of bone strength. The FEA (typically 300k elements) uses ANSYS Mechanical APDL [5] with run times of around 90 minutes per load case for contact mechanics models and 8 minutes for the Multiple Point Constraint models [6] using the ShARC Tier 3 HPC hosted at the University of Sheffield (2016 processors and 8832 GB RAM). In order to deliver this workflow to clinical end-users, a software framework has been developed to automate the workflow from a clinical perspective, from the point of data entry to results reporting. This framework includes several elements, some of which are common to other computational workflows developed as part of the EPSRC MultiSim project [7], which are listed below: • CT2SWebApp: provides the CT2S web site [8] allowing clinical users to initiate a request to perform a CT2S analysis and provides ...
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