Literature DB >> 29569463

Gradient-echo-based 3D submillisecond echo time pulmonary MR imaging: a preliminary usability study on clinical and preclinical MR scanners.

Soon Ho Yoon1, Chanhee Lee2, Jinil Park2, Jin Mo Goo1,3, Jang-Yeon Park2.   

Abstract

OBJECTIVE: To preliminarily investigate a technical feasibility of a submillisecond echo time concurrent-dephasing-and-excitation (CODE) sequence for pulmonary MRI on clinical and preclinical MR scanners
Methods: CODE imaging (echo time, 0.14 ~ 0.18 ms) was performed with American College of Radiology phantom at 3 T, 7 healthy volunteers at 1.5 and 3 T, 10 rabbits at 3 T, and 2 rodents at 9.4 T. Signal-to-noise ratio was compared in phantom. Image quality of human MRI was visually assessed on a 5-point scale for comparison between CODE and conventional lung MRI sequences. Visibility of bronchi, subcentimeter nodules, and MR air-bronchogram were assessed in animal studies.
RESULTS: In phantom study, signal-to-noise ratio was higher with CODE than with original three-dimensional ultrashort-echo time sequence (106.71 ± 4.32 vs 91.66 ± 3.54; p < 0.001). Image quality of human MRI was better with CODE than with conventional MRI sequences (p ≤ 0.002). Bronchi remained traceable up to the fifth bronchial generation in CODE images in rabbits and rodents. 95.2% of metastatic nodules (diameter, 1.5 ± 0.4 mm) and 93.8% of MR air-bronchogram (diameter, 0.9 ± 0.2 mm) in rabbits.
CONCLUSION: Submillisecond echo time pulmonary MRI was technically feasible by using CODE on various MR scanners. Advances in knowledge: CODE can be a practical alternative for lung MRI on both clinical and pre-clinical scanners, without challenges of free-induction-decay-based ultrashort-echo time sequences.

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Year:  2018        PMID: 29569463      PMCID: PMC6221767          DOI: 10.1259/bjr.20170796

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  15 in total

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Authors:  Matthew D Robson; Peter D Gatehouse; Mark Bydder; Graeme M Bydder
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2.  Lung parenchyma: projection reconstruction MR imaging.

Authors:  C J Bergin; J M Pauly; A Macovski
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3.  Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters.

Authors:  Olaf Dietrich; José G Raya; Scott B Reeder; Maximilian F Reiser; Stefan O Schoenberg
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

4.  Quiet Submillimeter MR Imaging of the Lung Is Feasible with a PETRA Sequence at 1.5 T.

Authors:  Gaël Dournes; David Grodzki; Julie Macey; Pierre-Olivier Girodet; Michaël Fayon; Jean-François Chateil; Michel Montaudon; Patrick Berger; François Laurent
Journal:  Radiology       Date:  2015-03-13       Impact factor: 11.105

5.  Ultra-short echo time (UTE) MR imaging of the lung: comparison between normal and emphysematous lungs in mutant mice.

Authors:  Masaya Takahashi; Osamu Togao; Makoto Obara; Marc van Cauteren; Yoshiharu Ohno; Shigehiro Doi; Makoto Kuro-o; Craig Malloy; Connie C Hsia; Ivan Dimitrov
Journal:  J Magn Reson Imaging       Date:  2010-08       Impact factor: 4.813

6.  Short echo-time 3D radial gradient-echo MRI using concurrent dephasing and excitation.

Authors:  Jang-Yeon Park; Steen Moeller; Ute Goerke; Edward Auerbach; Ryan Chamberlain; Jutta Ellermann; Michael Garwood
Journal:  Magn Reson Med       Date:  2011-06-23       Impact factor: 4.668

7.  Detection of Small Pulmonary Nodules with Ultrashort Echo Time Sequences in Oncology Patients by Using a PET/MR System.

Authors:  Nicholas S Burris; Kevin M Johnson; Peder E Z Larson; Michael D Hope; Scott K Nagle; Spencer C Behr; Thomas A Hope
Journal:  Radiology       Date:  2015-07-02       Impact factor: 11.105

8.  A radial sampling strategy for uniform k-space coverage with retrospective respiratory gating in 3D ultrashort-echo-time lung imaging.

Authors:  Jinil Park; Taehoon Shin; Soon Ho Yoon; Jin Mo Goo; Jang-Yeon Park
Journal:  NMR Biomed       Date:  2016-02-18       Impact factor: 4.044

9.  Optimized 3D ultrashort echo time pulmonary MRI.

Authors:  Kevin M Johnson; Sean B Fain; Mark L Schiebler; Scott Nagle
Journal:  Magn Reson Med       Date:  2012-12-04       Impact factor: 4.668

10.  SWIFT MRI enhances detection of breast cancer metastasis to the lung.

Authors:  Naoharu Kobayashi; Djaudat Idiyatullin; Curt Corum; Joseph Weber; Michael Garwood; Deepali Sachdev
Journal:  Magn Reson Med       Date:  2014-06-11       Impact factor: 4.668

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