Publications

Publications

Automated subject-specific, hexahedral mesh generation via image registration

An automated image-registration-driven pipeline produces subject-specific hexahedral FE brain meshes—with >99.5 % high-quality elements and ~0.07 mm average surface error—across 11 subjects in under 4 minutes per case, eliminating mesh distortion and repair. This approach ensures anatomically faithful, biofidelic models for traumatic brain injury biomechanics and other computational biomechanics investigations.

Investigation of Traumatic Brain Injuries Using the Next Generation of SIMon FEM of a Head

This paper investigates traumatic brain injuries using a sophisticated, next-generation finite element head model (FEHM) within the simulated injury monitor (SIMon) concept. This detailed biomechanical model, derived from human CT scans and validated against experimental data, predicts various injury metrics. The research provides crucial insights into TBI mechanisms, enhancing our understanding of head trauma.

Blunt Injury Response of Occupant Lower Extremity during Automotive Crashes: A Finite Element Study

N. Yue, J. Shin, and C. D. Untaroiu

This paper presents a detailed biomechanical finite element study of blunt injury response in the occupant lower extremity during automotive crashes. A novel, biofidelic human model of the knee-thigh-hip complex was developed and validated to understand injury mechanisms and thresholds. These computational biomechanics tools provide critical insights for enhancing automotive safety and injury prevention.

MUSCLE FIBRES MODELLING

A high-speed computational method generates detailed volumetric muscle fibre architectures by morphing predefined Bézier templates into muscle meshes, enabling interactive biomechanical visualization and analysis of fibre paths and lever arms. In under a second per muscle, the approach produces hundreds of anatomically consistent fibres, validated against anatomical atlases and suggesting utility for clinical biomechanics applications.

Importance of an Ellipsoidal Left Ventricular Geometry for Diastolic and Systolic Function

Using patient-specific FE biomechanics, this work demonstrates that surgical reduction of LV volume lowers peak myofiber stress and boosts systolic elastance but at the cost of stiffer diastolic filling, resulting in a net decline in Starling‐mediated pump performance in most cases. A virtual return to a more ellipsoidal LV geometry recovers both diastolic compliance and systolic function, revealing the biomechanical importance of postoperative ventricular shape in optimizing SVR outcomes.