Head-Mounted Display-Based Augmented Reality for Image-Guided Media Delivery to the Heart: A Preliminary Investigation of Perceptual Accuracy
Authors
Affiliations
By aligning virtual augmentations with real objects, optical see-through head-mounted display (OST-HMD)-based augmented reality (AR) can enhance user-task performance. Our goal was to compare the perceptual accuracy of several visualization paradigms involving an adjacent monitor, or the Microsoft HoloLens 2 OST-HMD, in a targeted task, as well as to assess the feasibility of displaying imaging-derived virtual models aligned with the injured porcine heart. With 10 participants, we performed a user study to quantify and compare the accuracy, speed, and subjective workload of each paradigm in the completion of a point-and-trace task that simulated surgical targeting. To demonstrate the clinical potential of our system, we assessed its use for the visualization of magnetic resonance imaging (MRI)-based anatomical models, aligned with the surgically exposed heart in a motion-arrested open-chest porcine model. Using the HoloLens 2 with alignment of the ground truth target and our display calibration method, users were able to achieve submillimeter accuracy (0.98 mm) and required 1.42 min for calibration in the point-and-trace task. In the porcine study, we observed good spatial agreement between the MRI-models and target surgical site. The use of an OST-HMD led to improved perceptual accuracy and task-completion times in a simulated targeting task.
Ye J, Chen Q, Zhong T, Liu J, Gao H CNS Neurosci Ther. 2025; 31(1):e70217.
PMID: 39817491 PMC: 11736426. DOI: 10.1111/cns.70217.
Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects.
Palumbo A Sensors (Basel). 2022; 22(20).
PMID: 36298059 PMC: 9611914. DOI: 10.3390/s22207709.
Augmenting Performance: A Systematic Review of Optical See-Through Head-Mounted Displays in Surgery.
Doughty M, Ghugre N, Wright G J Imaging. 2022; 8(7).
PMID: 35877647 PMC: 9318659. DOI: 10.3390/jimaging8070203.
Doughty M, Ghugre N Int J Comput Assist Radiol Surg. 2022; 17(12):2253-2262.
PMID: 35701681 DOI: 10.1007/s11548-022-02688-y.