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2014
DOI: 10.1007/978-3-319-12057-7_21
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The MAP Client: User-Friendly Musculoskeletal Modelling Workflows

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Cited by 58 publications
(45 citation statements)
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“…The Musculoskeletal Atlas Project Client 20 containing shape models of the pelvis and lower limbs was used to scale a generic musculoskeletal model (Gait2392) 21 . This approach has been shown to better reflect individual bony geometry compared to traditional linear scaling 15 .…”
Section: Methodsmentioning
confidence: 99%
“…The Musculoskeletal Atlas Project Client 20 containing shape models of the pelvis and lower limbs was used to scale a generic musculoskeletal model (Gait2392) 21 . This approach has been shown to better reflect individual bony geometry compared to traditional linear scaling 15 .…”
Section: Methodsmentioning
confidence: 99%
“…The body anatomy in the model can be informed by medical imaging [66][67][68] or extracted from population databases [69,70]. Statistical methods have been developed for improving the anatomical fidelity in the model using the limited set of information typically available in a clinical environment [71,72]. Real-time or near real-time numerical methods have been developed to predict muscle and joint force [73], bone strains [74,75] and strength [76].…”
Section: A Perspective Toward Personalized Exercise Prescriptionmentioning
confidence: 99%
“…We have demonstrated shape model‐based workflows for generating 3D morphology from sparse data . These workflows combine data routinely collected in gait laboratories (motion capture marker coordinates, anthropometric measurements) and partial segmented surfaces (e.g., from the hip or knee) to generate 3D surface meshes of the pelvis, femur, patella, tibia, and fibula.…”
Section: From Rigid‐body To Continuum Models Using Statistical Modelsmentioning
confidence: 99%
“…These workflows have been implemented in the open‐source Musculoskeletal Atlas Project (MAP) Client software and are freely available to the community . The MAP (Figure ) aims to consolidate into one common platform the many steps involved in musculoskeletal model generation (e.g., segmentation, registration, and mesh fitting) as well as the statistical models on which they depend.…”
Section: From Rigid‐body To Continuum Models Using Statistical Modelsmentioning
confidence: 99%