Patient-specific bone geometry and segment inertia from MRI images for model-based analysis of pathological gait

Abstract Patient-specific modeling is a vital component in the translation of computational multibody dynamics into clinical practice. Recent research has focused on ways to derive such models from medical imaging, but the process is usually time consuming and sensitive to operator skill. Here, we p...

Full description

Saved in:
Bibliographic Details
Published in:Journal of biomechanics 2016-06, Vol.49 (9), p.1918-1925
Main Authors: Sreenivasa, Manish, Chamorro, Carlos Javier Gonzalez, Gonzalez-Alvarado, Daniel, Rettig, Oliver, Wolf, Sebastian I
Format: Article
Language:English
Subjects:
Adipose Tissue - diagnostic imaging
Adipose Tissue - physiopathology
Automation
Biomechanical Phenomena
Bone and Bones - abnormalities
Bone and Bones - diagnostic imaging
Bone and Bones - physiopathology
Bone morphing
Bones
Boundaries
Chains
Child
Conflicts of interest
Female
Gait
Gait - physiology
Geometry
Humans
Inertial
Kinematics
Magnetic Resonance Imaging
Mathematical models
Methods
MRI segmentation
Muscles - diagnostic imaging
Muscles - physiopathology
Osteochondrodysplasias - diagnostic imaging
Osteochondrodysplasias - physiopathology
Pathological gait dynamics
Patient-Specific Modeling
Physical Medicine and Rehabilitation
Segments
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Patient-specific modeling is a vital component in the translation of computational multibody dynamics into clinical practice. Recent research has focused on ways to derive such models from medical imaging, but the process is usually time consuming and sensitive to operator skill. Here, we present methods to derive kinematic and inertial properties of body segments from MRI images, and condense them into a dynamically consistent patient-specific multibody model (PSM). We develop a semi-automated tool chain to classify bone, muscle and fat in the lower body and use optimization and geometrical methods to derive personalized bone meshes and segment inertial properties. The tool chain is applied to investigate the gait of a 12-yr old female with bone deformities. The patient-specific results are compared to those arising from generic scaled models with parameters based on regression equations. We found several kinematic and inertial differences between the two models, and overall the PSM resulted in markedly smaller angular and force residuals. The PSM was able to capture vital aspects of this patient׳s gait in the transverse plane that were overlooked by the generic model. These results are relevant to the use of multibody dynamics in the planning of surgical interventions, and form the basis for developing efficient and automatic methods to create patient-specific models.
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2016.05.001