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Alex J Lindblad

Publications and source records attributed to Alex J Lindblad.

2 recordsLinked to original sources

Real-time finite element based virtual tissue cutting.

Tool-tissue interaction is most accurately modeled as an imposed displacement constraint, thus augmenting the traditional finite element equation, Ku=f, to a 2 x 2 block system. This augmentation does two things: it enlarges the system, and it introduces the Schur complement(S) during the solution. This research has focused on efficient methods to update the Schur complement and it's inverse during displacement constraint removal and addition to allow for soft-tissue cutting to occur in real-time. By taking advantage of how the constraints impact the Schur complement, removal and addition of these constraints are handled by either performing a rank-2 or rank-1 update on S(-1), respectively. This greatly reduces the computational load on the CPU; and through use of timing tests shows that the update frequencies are well within an acceptable range for tactile feedback. To further solidify this method as being highly useful, a prototypical simulator has been developed that allows users to haptically perform bi-manual soft-tissue cutting.

Connective Tissue↗

Two-handed next generation suturing simulator.

A realistic two-handed surgical suturing simulation would have a broad impact on the way doctors are trained in the field of surgery. Current state-of-the-art in suturing simulators do not accurately represent realistic suturing conditions, leaving many necessary components, i.e. two-handed interaction, skin undermining, skin repositioning etc., out of the model completely. The goal of this research is to develop a next generation immersive suturing simulator that uses an integrated two-handed tension based haptic device for tactile feedback, a hi-fidelity finite element model for more accurate skin, tissue and needle modeling and stereoscopic vision for depth-of-field.

Computer Simulation↗