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Filtering by: Subject Biomechanics Subject Mechanical engineering

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Description:: Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient's initial visit is a challenging task. This research provides a bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific (PS) parameters to predict PSD. We provide a geometry-based bone growth model that can be utilized...
Keyword:: Adolescent idiopathic scoliosis (AIS), Mechanistic bio-informed machine learning, Pediatric spinal deformity (PSD), 3D reconstruction, X-ray images, and Mesh registration
Subject:: Mechanical engineering and Biomechanics
Creator:: Tajdari, Mahsa
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_879756 and http://dissertations.umi.com/northwestern:15944

Description:: Muscle strength assessment is a standard part of any clinical evaluation. Due to the kinematic and muscular redundancy in the human musculoskeletal system, muscle strength can not be measured directly in vivo. Clinicians utilize specific postures and forces to bias the muscles of interest, then infer the muscle strength from...
Keyword:: Active Learning , Parameter Estimation , Musculoskeletal Model, and Cervical Spine
Subject:: Mechanical engineering and Biomechanics
Creator:: Abbott, Rebecca Elizabeth
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/15/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_797807 and http://dissertations.umi.com/northwestern:15487

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