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  FLASHlight MRI in real time - a step towards Star Trek medicine

Michaelis, T., Voit, D., Kollmeier, J. M., Kalentev, O., van Zalk, M., & Frahm, J. (2023). FLASHlight MRI in real time - a step towards Star Trek medicine. Quantitative Imaging in Medicine and Surgery, 13(1), 489-495. doi:10.21037/qims-22-648.

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102461-PB3-2294-R2.pdf (Publisher version), 2MB
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 Creators:
Michaelis, Thomas1, Author           
Voit, Dirk1, Author           
Kollmeier, Jost Michael1, Author           
Kalentev, Oleksandr1, Author           
van Zalk, Maaike1, Author           
Frahm, Jens1, Author           
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1Research Group Biomedical NMR, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3350294              

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 Abstract: This work describes a dynamic magnetic resonance imaging (MRI) technique for local scanning of the human body with use of a handheld receive coil or coil array. Real-time MRI is based on highly undersampled radial gradient-echo sequences with joint reconstructions of serial images and coil sensitivity maps by regularized nonlinear inversion (NLINV). For this proof-of-concept study, a fixed slice position and field-of-view (FOV) were predefined from the operating console, while a local receive coil (array) is moved across the body—for the sake of simplicity by the subject itself. Experimental realizations with a conventional 3 T magnet comprise dynamic anatomic imaging of the head, thorax and abdomen of healthy volunteers. Typically, the image resolution was 0.75 to 1.5 mm with 3 to 6 mm section thickness and acquisition times of 33 to 100 ms per frame. However, spatiotemporal resolutions and contrasts are highly variable and may be adjusted to clinical needs. In summary, the proposed FLASHlight MRI method provides a robust acquisition and reconstruction basis for future diagnostic strategies that mimic the usage of ultrasound. Necessary extensions for this vision require remote control of all sequence parameters by a person at the scanner as well as the design of more flexible gradients and magnets.

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Language(s): eng - English
 Dates: 2022-09-062022-10-082023-01
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.21037/qims-22-648
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Title: Quantitative Imaging in Medicine and Surgery
  Other : QIMS
Source Genre: Journal
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Publ. Info: AME Publ.
Pages: - Volume / Issue: 13 (1) Sequence Number: - Start / End Page: 489 - 495 Identifier: Other: ISSN
CoNE: https://pure.mpg.de/cone/journals/resource/2223-4306