This is the development site of Reproducibility in simulation­-based prediction of natural knee mechanics. The development efforts for the project is through a collaboration between Ahmet Erdemir (Cleveland Clinic), Jason Halloran (Cleveland State University), Peter Laz & Kevin Shelburne (University of Denver), Carl Imhauser (Hospital for Special Surgery) and Thor Besier (Auckland Bioengineering Institute). The project is currently funded by the National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health (Grant No. R01EB024573).

The specific aims are

Infrastructure

Meetings

Outreach

Advisory Board

Conferences

Reviews & Perspectives

Community

Project Overview

Summary Documents

Workflow

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Timeline

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Notes:

  1. Each modeling & simulation phase will have data processing and comparative analysis stages. Items above on data and comparative analysis is for the whole project.

  2. Processes should be defined for deposition & dissemination of data, specifications, protocol deviations & deliverables.

  3. Grant narrative provides guidance for the overall project workflow.

Context of Use of Models

For target clinical and research use cases (see model reuse):

Data Resources

Modeling & Simulation Phases

Overall Strategy to Document and Execute M&S Phases

Each modeling & simulation phase of the project will be staged:

Each individual step will require expected detail and guidance to accomplish that expected detail. Individual phases will likely have time overlap, i.e., while specifications are executed for one phase, they can be developed for the next phase.

Model Development Phase

Goal. (each modeling team) To develop two initial working models (one from Open Knee(s); one from Natural Knee Data) - starting with earmarked data and providing all deliverables.

Earmarked Data. Specimen-specific medial imaging datasets (MRIs, CTs), other specimen-specific anatomical information (probing), literature.

Deliverables. (for each model) working model simulating a sample scenario, intermediate and final virtual representations of model components, sample simulation results; documentation of modeling and simulation processes - specifications (prior to execution), protocol deviations (changes in specifications during and posterior to execution)

Details. See ModelDevelopment.

Model Calibration Phase

Goal. To develop two calibrated working models (one from Open Knee(s); one from Natural Knee Data) - starting with earmarked data and providing all deliverables.

Earmarked Data. Specimen-specific joint mechanics datasets (joint kinematics-kinetics during laxity testing), other specimen-specific anatomical information (probing data during mechanical testing), literature.

Deliverables. (for each model) calibrated working model simulating the same sample scenario of the previous phase, simulation results of the sample scenario; for each calibration stage - calibrated parameters (before and after), representation of loading cases selected from earmarked data for calibration, simulation results of loading cases used for calibration (before and after), calibration fit error (before and after), intermediate and final virtual representations of model components that are changed during calibration; representation of all loading cases of earmarked data, simulation results of all loading cases of earmarked data with calibrated model; documentation of modeling and simulation processes - specifications (prior to execution), protocol deviations (changes in specifications during and posterior to execution).

Details. See ModelCalibration.

Model Benchmarking Phase

Goal. Quality of tuned model (to reference and relative, e.g. validity domain)

Earmarked Data.

Deliverables.

Details. See ModelBenchmarking.

Model Reuse Phase

Goal. Predictive potential of tuned model in extrapolation (to each relative, e.g. applicability)

Earmarked Data.

Deliverables.

Details. See ModelReuse.

Comparative Analysis Consolidation

See ComparativeAnalysis

FrontPage (last edited 2019-04-03 12:10:32 by aerdemir)