ArticleJournal of imaging2021
A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images.
Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Interleaved Imaging and Actuation for Real-Time MRI During Active Control of a Magnetically-Actuated Robotic Catheter.IEEE transactions on bio-medical engineering · 2026Article
- Magnetic resonance imaging safety-driven, heat-mitigating design for a magnetic resonance imaging-guided, magnetically actuated robotic catheter.Medical physics · 2026Article
- Image-Based Medical Navigation Systems for Cardiac Interventions: Recent Technological Advances.Cardiovascular engineering and technology · 2026Review
- Application of Mixed/Augmented Reality in Interventional Cardiology.Journal of clinical medicine · 2024Review
- Use of Virtual Reality and 3D Models in Contemporary Practice of Cardiology.Current cardiology reports · 2024Review
- Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress.Scientific reports · 2024Article
- Optimization of through-time radial GRAPPA with coil compression and weight sharing.Magnetic resonance in medicine · 2022Article
- MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System.IEEE access : practical innovations, open solutions · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Image-guided cardiovascular interventions are rapidly evolving procedures that necessitate imaging systems capable of rapid data acquisition and low-latency image reconstruction and visualization. Compared to alternative modalities, Magnetic Resonance Imaging (MRI) is attractive for guidance in complex interventional settings thanks to excellent soft tissue contrast and large fields-of-view without exposure to ionizing radiation. However, most clinically deployed MRI sequences and visualization pipelines exhibit poor latency characteristics, and spatial integration of complex anatomy and device orientation can be challenging on conventional 2D displays. This work demonstrates a proof-of-concept system linking real-time cardiac MR image acquisition, online low-latency reconstruction, and a stereoscopic display to support further development in real-time MR-guided intervention. Data are acquired using an undersampled, radial trajectory and reconstructed via parallelized through-time radial generalized autocalibrating partially parallel acquisition (GRAPPA) implemented on graphics processing units. Images are rendered for display in a stereoscopic mixed-reality head-mounted display. The system is successfully tested by imaging standard cardiac views in healthy volunteers. Datasets comprised of one slice (46 ms), two slices (92 ms), and three slices (138 ms) are collected, with the acquisition time of each listed in parentheses. Images are displayed with latencies of 42 ms/frame or less for all three conditions. Volumetric data are acquired at one volume per heartbeat with acquisition times of 467 ms and 588 ms when 8 and 12 partitions are acquired, respectively. Volumes are displayed with a latency of 286 ms or less. The faster-than-acquisition latencies for both planar and volumetric display enable real-time 3D visualization of the heart.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.