eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR

eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound training. Trainees wear a head-mounted display (HMD) and hold a controller, mimicking a real ultrasound probe, while treating a desk surface as the patient's body for low-cost and anywhere training. eXplainMR engages trainees with troubleshooting questions and provides automated feedback through four key mechanisms: 1) subgoals that break down tasks into single-movement steps, 2) textual explanations comparing the current incorrect view with the target view, 3) real-time segmentation and annotation of ultrasound images for direct visualization, and 4) the 3D visual cues provide further explanations on the intersection between the slicing plane and anatomies.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1145/3706598.3714015
Citations
2
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
2.72

Funders

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article

eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR

Vitaliy Popov, Jingying Wang, Jingjing Zhang, Matthew Sigakis et al.
2 citations
Radiology practices and education
2.72
article

eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR

Vitaliy Popov, Jingying Wang, Jingjing Zhang, Matthew Sigakis, Juana Nicoll Capizzano, Xu Wang
article en
2 citations

Abstract

eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound training. Trainees wear a head-mounted display (HMD) and hold a controller, mimicking a real ultrasound probe, while treating a desk surface as the patient's body for low-cost and anywhere training. eXplainMR engages trainees with troubleshooting questions and provides automated feedback through four key mechanisms: 1) subgoals that break down tasks into single-movement steps, 2) textual explanations comparing the current incorrect view with the target view, 3) real-time segmentation and annotation of ultrasound images for direct visualization, and 4) the 3D visual cues provide further explanations on the intersection between the slicing plane and anatomies.

University of Michigan (US)
National Science Foundation
Quality Education
Openalex Percentile: Top 11%
Radiology practices and education
2.72
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