/knee-grand-challenge-4th

Primary LanguagePascalOtherNOASSERTION

Note Use the dev branch to use this repository with the beta version of AnyBody and AMMR (AMS 7.5-beta4, and AMMR 2.5)

AnyBody FDK knee model

based on the 4th year Grand Challenge dataset

This is an implementaiton of the dtailed knee model based on the dataset from the "Grand Challenge Competition to Predict In-Vivo Knee Loads". An annual competition hosted at the ASME conference for researchers to blindly predict knee loads with musculskeletal models.

THis model implementation was based on the is based on the 4th year dataset.

Details on files/folders and model structure

  1. libdef.any file will use an external libdef.any file which is assumed to be located in the directory up one level. And this external libdef.any file should include the real libdef.any from an AMMR repository that you may want to use. This model will work in the AMMMR version AMMR 2.2

  2. The Input/ folder contains several input dataset from the 4th competition of the Grand Challenge Competition to Predict In Vivo Knee Loads (https://simtk.org/projects/kneeloads) including the STL files for both bone and implant geometries as well as the motion capture data of patient trials in form of C3D files. Of course there are other related files that are created and managed by AnyBody Technology A/S.

  3. The Commons folder contains all common AnyScript files that are used for different models, especially related to the customization of the human model in terms of bone scaling, muscle strength adjustment and ligament configuration.

  4. The ScalingTest folder contains some test models where you can see how custom scaling of AMMR TLEM2.0 bones can be applied to the patient-specific geometries of the Grand Challenge Competition to Predict In Vivo Knee Loads.

  5. The TKA_Squat folder contains a sample squat model. The purpose of this model is to illustrate the procedure of patient-specific scaling of the latest AMMR human model using the dataset from the Grand Challenge Competition to Predict In Vivo Knee Loads. Also this model can demonstrate how the FDK knee simulation may work by detailed modeling of the knee structure including implant surface contacts, ligaments and muscles.

  6. The TKA_AnyMoCap_MultiTrials folder contains a simulation framework based on the AnyMoCap model. In this framework you can handle many different trials of a subject.

  7. TKA_MoCap_Legacy_MultiTrialsfolder contains a simulation framework beased on the old legacy MoCap model from previous AMMR versions.