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Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

ABSTRACT: Accurate representation of subject-specific bone anatomy in lower-limb musculoskeletal models is important for human movement analyses and simulations. Mathematical methods can reconstruct geometric bone models using incomplete imaging of bone by morphing bone model templates, but the validity of these methods has not been fully explored. The purpose of this study was to determine the minimal imaging requirements for accurate reconstruction of geometric bone models. Complete geometric pelvis and femur models of 14 healthy adults were reconstructed from magnetic resonance imaging through segmentation. From each complete bone segmentation, three sets of incomplete segmentations (set 1 being the most incomplete) were created to test the effect of imaging incompleteness on reconstruction accuracy. Geometric bone models were reconstructed from complete sets, three incomplete sets, and two motion capture-based methods. Reconstructions from (in)complete sets were generated using statistical shape modelling, followed by host-mesh and local-mesh fitting through the Musculoskeletal Atlas Project Client. Reconstructions from motion capture-based methods used positional data from skin surface markers placed atop anatomic landmarks and estimated joint centre locations as target points for statistical shape modelling and linear scaling. Accuracy was evaluated with distance error (mm) and overlapping volume similarity (%) between complete bone segmentation and reconstructed bone models, and statistically compared using a repeated measure analysis of variance (p<0.05). Motion capture-based methods produced significantly higher distance error than reconstructions from (in)complete sets. Pelvis volume similarity reduced significantly with the level of incompleteness: complete set (92.70±1.92%), set 3 (85.41±1.99%), set 2 (81.22±3.03%), set 1 (62.30±6.17%), motion capture-based statistical shape modelling (41.18±9.54%), and motion capture-based linear scaling (26.80±7.19%). A similar trend was observed for femur volume similarity. Results indicate that imaging two relevant bone regions produces overlapping volume similarity >80% compared to complete segmented bone models, and improve analyses and simulation over current standard practice of linear scaling musculoskeletal models.

SUBMITTER: Suwarganda EK

PROVIDER: S-EPMC6370181 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

Suwarganda Edin K EK Diamond Laura E LE Lloyd David G DG Besier Thor F TF Zhang Ju J Killen Bryce A BA Savage Trevor N TN Saxby David J DJ

PloS one 20190211 2

Accurate representation of subject-specific bone anatomy in lower-limb musculoskeletal models is important for human movement analyses and simulations. Mathematical methods can reconstruct geometric bone models using incomplete imaging of bone by morphing bone model templates, but the validity of these methods has not been fully explored. The purpose of this study was to determine the minimal imaging requirements for accurate reconstruction of geometric bone models. Complete geometric pelvis and ...[more]

PMID: 30742643

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Project description:Musculoskeletal modelling is an important platform on which to study the biomechanics of morphological structures in vertebrates and is widely used in clinical, zoological and palaeontological fields. The popularity of this approach stems from the potential to non-invasively quantify biologically important but difficult-to-measure functional parameters. However, while it is known that model predictions are highly sensitive to input values, it is standard practice to build models by combining musculoskeletal data from different sources resulting in 'generic' models for a given species. At present, there are little quantitative data on how merging disparate anatomical data in models impacts the accuracy of these functional predictions. This issue is addressed herein by quantifying the accuracy of both subject-specific human limb models containing individualised muscle force-generating properties and models built using generic properties from both elderly and young individuals, relative to experimental muscle torques obtained from an isokinetic dynamometer. The results show that subject-specific models predict isokinetic muscle torques to a greater degree of accuracy than generic models at the ankle (root-mean-squared error - 7.9% vs. 49.3% in elderly anatomy-based models), knee (13.2% vs. 57.3%) and hip (21.9% vs. 32.8%). These results have important implications for the choice of musculoskeletal properties in future modelling studies, and the relatively high level of accuracy achieved in the subject-specific models suggests that such models can potentially address questions about inter-subject variations of muscle functions. However, despite relatively high levels of overall accuracy, models built using averaged generic muscle architecture data from young, healthy individuals may lack the resolution and accuracy required to study such differences between individuals, at least in certain circumstances. The results do not wholly discourage the continued use of averaged generic data in musculoskeletal modelling studies but do emphasise the need for to maximise the accuracy of input values if studying intra-species form-function relationships in the musculoskeletal system.

Project description:IntroductionWhile many medical schools provide opportunities in medical Spanish for medical students, schools often struggle with identifying a structured curriculum. The purpose of this module was to provide a flexible, organ system-based approach to teaching and learning musculoskeletal and dermatologic Spanish terminology, patient-centered communication skills, and sociocultural health contexts.MethodsAn 8-hour educational module for medical students was created to teach musculoskeletal and dermatologic medical communication skills in Spanish within the Hispanic/Latinx cultural context. Participants included 47 fourth-year medical students at an urban medical school with a starting minimum Spanish proficiency at the intermediate level. Faculty provided individualized feedback on speaking, listening, and writing performance of medical Spanish skills, and learners completed a written pre- and postassessment testing skills pertaining to communication domains of vocabulary, grammar, and comprehension as well as self-reported confidence levels.ResultsStudents demonstrated improvement in vocabulary, grammar, comprehension, and self-confidence of musculoskeletal and dermatologic medical Spanish topics. While students with overall lower starting proficiency levels (intermediate) scored lower on the premodule assessment compared to higher proficiency students (advanced/native), the postmodule assessment did not show significant differences in skills performance among these groups.DiscussionAn intermediate Spanish level prerequisite for this musculoskeletal and dermatologic module can result in skills improvement for all learners despite starting proficiency variability. Future study should evaluate learner clinical performance and integration of this module into other educational settings such as graduate medical education (e.g., orthopedic, rehabilitation, and dermatology residency programs) and other health professions (e.g., physical therapy and nursing).

Dataset Information

Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

Publications

Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models.

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