Literature DB >> 29527736

Time-of-flight MR-angiography with a helical trajectory and slice-super-resolution reconstruction.

Melisa Okanovic1, Burghard Hillig2, Felix Breuer3, Peter Jakob1, Martin Blaimer3.   

Abstract

PURPOSE: To improve 2D noncontrast-enhanced MRA by using a helical time-of-flight (TOF) acquisition technique and a slice-super-resolution reconstruction.
METHODS: The TOF technique is combined with a helical trajectory with golden-angle-based radial projection reordering. A continuous spatial shift in slice direction is realized by adjusting the frequency of the excitation pulse between the individual projections. The limited resolution along the shift direction is improved by a deconvolution with simulated slice profile. The helical TOF (hTOF) was compared in vivo with a conventional 2D and 3D TOF.
RESULTS: Results from in vivo experiments on the carotid show that the visual resolution in slice direction can be improved by using hTOF and the slice-super-resolution reconstruction. The vessels appear up to 1.5 times sharper and can be better separated from each other. Compared to 2D TOF images, the stair step artifacts are strongly reduced in reformatted hTOF images, whereas measurement time is decreased by at least 35%. Compared to 3D TOF, the hTOF offers a higher blood-to-background contrast, better visualization of smaller vessels, and reduced measurement time.
CONCLUSION: The hTOF benefits from a 2D acquisition and a 3D reconstruction, which makes it a promising technique for the noncontrast-enhanced imaging of the carotid.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR angiography; carotid; helical; noncontrast-enhanced; super-resolution; time-of-flight

Mesh:

Year:  2018        PMID: 29527736     DOI: 10.1002/mrm.27167

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  4 in total

1.  Modified acquisition strategy for reduced motion artifact in super resolution T 2 FSE multislice MRI: Application to prostate.

Authors:  Soudabeh Kargar; Eric A Borisch; Adam T Froemming; Roger C Grimm; Akira Kawashima; Bernard F King; Eric G Stinson; Stephen J Riederer
Journal:  Magn Reson Med       Date:  2020-05-17       Impact factor: 4.668

2.  Super-resolution head and neck MRA using deep machine learning.

Authors:  Ioannis Koktzoglou; Rong Huang; William J Ankenbrandt; Matthew T Walker; Robert R Edelman
Journal:  Magn Reson Med       Date:  2021-02-22       Impact factor: 3.737

3.  Respiration resolved imaging with continuous stable state 2D acquisition using linear frequency SWEEP.

Authors:  L H Jackson; A N Price; J Hutter; A Ho; T A Roberts; P J Slator; J R Clough; M Deprez; L McCabe; S J Malik; L Chappell; M A Rutherford; J V Hajnal
Journal:  Magn Reson Med       Date:  2019-06-10       Impact factor: 4.668

4.  Cross correlation-based misregistration correction for super resolution T2 -weighted spin-echo images: application to prostate.

Authors:  Eric A Borisch; Roger C Grimm; Soudabeh Kargar; Akira Kawashima; Phillip J Rossman; Stephen J Riederer
Journal:  Magn Reson Med       Date:  2020-09-24       Impact factor: 4.668

  4 in total

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