Evidence map›Paper›PMID 34940741›Full record

ArticleJournal of imaging2021

A System for Real-Time, Online Mixed-Reality Visualization of Cardiac Magnetic Resonance Images.

Dominique Franson, Andrew Dupuis, Vikas Gulani, Mark Griswold, Nicole Seiberlich

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Dominique FransonDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Andrew DupuisDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.ORCID 0000-0002-3714-4812
Vikas GulaniDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-0889-5999
Mark GriswoldDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Nicole SeiberlichDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Case Western Reserve University · USUniversity of Michigan · US

Funding

Interdisciplinary Biomedical Imaging Training ProgramT32EB007509 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DAVID Lynn WILSON, Xin Yu · 2007 to 2026
$5.6M
Improved Cardiac and Vascular MRI Using Parallel Imaging and Compressed SensingR01HL094557 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GRISWOLD, MARK, SEIBERLICH, NICOLE · 2010 to 2018
$4.5M
Real-Time MRI Guided Robotic Catheter System for Atrial Fibrillation AblationR01HL153034 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI CAVUSOGLU, M. CENK, GRISWOLD, MARK · 2020 to 2023
$2.7M
NRI: Small: Magnetic Resonance Imaging Guided Co-Robotic Active Catheter SystemR01EB018108 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CAVUSOGLU, M. CENK · 2013 to 2016
$1.3M
National Heart Lung and Blood Institute R01HL094557National Heart Lung and Blood Institute R01HL153034National Science Foundation 1563805NHLBI NIH HHS R01 HL153034NIBIB NIH HHS T32EB007509NIH HHS R01EB018108Siemens Healthineers Research support
6 · The paper itself

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.

Indexed as

GRAPPAinterventional guidancemagnetic resonance imagingmixed realitynon-cartesianreal-time imaging

Identifiers

PMID34940741
PMCPMC8709155
OpenAlexW4200518529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.