A mathematical model with medical imaging to optimize visualization of heart myofiber geometry
A mathematical model to construct a more accurate geometry of heart myofibers was generated at McGill University.
Analyzing a bundle of fibers is analogous to looking at how a tuft of hair bends and twists, rather than examining the geometry of individual hair strands. Without being able to visualize how these fibers fit together into sheets and how they stack up in volume, any therapy planning or guidance after injury would be incomplete. In order to understand how the fibers of the heart wall are bundled together, an imaging resource and software model need to be integrated.
In this technology, a mathematical model using advanced medical imaging was developed to recover the geometry of the heart myofibers from diffusion resonance imaging (DMRI). With a better understanding of heart myofiber geometry and method of visualization, doctors will have a number of options for planning how to treat injuries. Functionally, understanding how the fibers fit together could help build a new kind of composite material with flexible, expandable and contractile properties to build a scaffold for artificial muscle. From a treatment perspective, this model could generate personalized myocardial fiber reconstruction to allow doctors to make more informed decisions regarding the health of the heart after injury.
- Mathematical model that establishes the precise geometry of bundles of heart myofibers
- Integration of DMRI imaging data to visualize human and animal heart fiber construction
Issued US, Filed CA