Myocardial infarction is a leading cause of heart failure, a condition with a 5-year mortality rate of ~50%. Current HF management techniques aim to slow disease progression rather than improve function. Cardiac regenerative medicine through cell-based approaches offers the potential to repopulate non-contractile scar tissue. However, regions of scar are not well delineated during the cell-delivery procedures, and accurate cell placement is vital to realize positive outcomes from therapy. We aim to develop a novel integrative image-guidance solution combining MRI for myocardial scar characterization with augmented reality via a head-mounted display to visualize critical MRI information intraoperatively and guide delivery.
Device: We have utilized the Microsoft HoloLens OST-HMD for initial experiments due to its class leading performance in contrast perception, task load and frame rate 5. Our initial implementation leverages the HoloLens front facing sensor capabilities for pose estimation through robust square-based fiducial tracking 6. First, a standard camera calibration procedure was performed through recording multiple views of a known planar chessboard pattern to estimate camera intrinsic parameters. Second, to compensate for positional errors common to OST-HMDs, and arising from the differing coordinate systems of the user’s eyes and the front facing sensors 5, a transform from the sensor stream frame to the user’s vision frame of reference is required. A modified version of the single-point active alignment method was implemented to compute this transform and minimize discrepancy in virtual model registration for individual users 7.
Phantom study: An agar phantom was prepared to provide a substrate for future mock injection studies. The phantom is comprised of two regions with differing T1 contrast, representing the organ and an embedded target. Vitamin E tablets within the agar gel served as MRI-visible fiducial markers, which are later aligned with custom square-based fiducial landmarks to enable registration between AR projections of the MRI volumes and the real scene. The phantom was imaged using a 3D-FSPGR sequence on a 3T whole-body scanner.
Animal study: Using a porcine MI model (N=3), infarcts were characterized through late gadolinium enhanced (LGE) MRI and infarcts were segmented using a full width half maximum algorithm to semi-automatically quantify infarcted areas 8. Models were optimized for viewing through color-coding and transparency schemes to identify individual structures, and saliency techniques to highlight infarct regions.
Phantom study: The agar phantom is shown in Figure 1a, alongside a segmented 3D model from the FSPGR dataset, created using 3D Slicer 9 (Figure 1b). Square fiducial markers are aligned with the MRI fiducial locations on the phantom (Figure 1c), creating consistent landmarks between preoperative and intraoperative image space. Robust visual tracking of the custom marker configuration using the front-facing sensors on the HoloLens permitted virtual model alignment with the intraoperative scene with reasonable accuracy (Figure 1d, e).
Animal study: 3D MRI models of the heart and scar anatomy (Figures 2a-c) were displayed to the user through the HoloLens device alongside interfaces for interaction (Figure 2d). The surgeon’s point of view for an open chest cell-injection procedure is shown in Figure 2e, f, with a virtual 3D scar roadmap representing the extent of myocardial scar tissue included.
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