Literature DB >> 30257269

Outracing Lung Signal Decay - Potential of Ultrashort Echo Time MRI.

Mark Oliver Wielpütz1,2,3, Simon M F Triphan1,2,3, Yoshiharu Ohno4, Bertram J Jobst1,2,3, Hans-Ulrich Kauczor1,2,3.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) of the pulmonary parenchyma is generally hampered by multiple challenges related to patient respiratory- and circulation-related motion, low proton density and extremely fast signal decay due to the structure of the lungs evolved for gas exchange.
METHODS: Systematic literature database research as well as annual participation in conferences dedicated to pulmonary MRI for more than the past 20 years by at least one member of the author team. RESULTS AND
CONCLUSION: The problem of motion has been addressed in the past by developments such as triggering, gating and parallel imaging. The second problem has, in part, turned out to be an advantage in those diseases that lead to an increase in lung substance and thus an increase in signal relative to the background. To reduce signal decay, ultrashort echo time (UTE) methods were developed to minimize the time between excitation and readout. Having been postulated a while ago, improved hardware and software now open up the possibility of achieving echo times shorter than 200 µs, increasing lung signal significantly by forestalling signal decay and more effectively using the few protons available. Such UTE techniques may not only improve structural imaging of the lung but also enhance functional imaging, including ventilation and perfusion imaging as well as quantitative parameter mapping. Because of accelerating progress in this field of lung MRI, the review at hand seeks to introduce some technical properties as well as to summarize the growing data from applications in humans and disease, which promise that UTE MRI will play an important role in the morphological and functional assessment of the lung in the near future. KEY POINTS: · Ultrashort echo time MRI is technically feasible with state-of-the-art scanner hardware.. · UTE MRI allows for CT-like image quality for structural lung imaging.. · Preliminary studies show improvements over conventional morphological imaging in lung cancer and airways diseases.. · UTE may improve sensitivity for functional processes like perfusion and tissue characterization.. CITATION FORMAT: · Wielpütz MO, Triphan SM, Ohno Y et al. Outracing Lung Signal Decay - Potential of Ultrashort Echo Time MRI. Fortschr Röntgenstr 2019; 191: 415 - 423. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2018        PMID: 30257269     DOI: 10.1055/a-0715-2246

Source DB:  PubMed          Journal:  Rofo        ISSN: 1438-9010


  5 in total

Review 1.  Ten years of chest MRI for patients with cystic fibrosis : Translation from the bench to clinical routine.

Authors:  Patricia Leutz-Schmidt; Monika Eichinger; Mirjam Stahl; Olaf Sommerburg; Jürgen Biederer; Hans-Ulrich Kauczor; Michael U Puderbach; Marcus A Mall; Mark O Wielpütz
Journal:  Radiologe       Date:  2019-12       Impact factor: 0.635

Review 2.  The current status and further prospects for lung magnetic resonance imaging in pediatric radiology.

Authors:  Franz Wolfgang Hirsch; Ina Sorge; Jens Vogel-Claussen; Christian Roth; Daniel Gräfe; Anne Päts; Andreas Voskrebenzev; Rebecca Marie Anders
Journal:  Pediatr Radiol       Date:  2020-01-29

3.  Ultrashort echo time MRI of the lung in children and adolescents: comparison with non-enhanced computed tomography and standard post-contrast T1w MRI sequences.

Authors:  Diane M Renz; Karl-Heinz Herrmann; Martin Kraemer; Joachim Boettcher; Matthias Waginger; Paul-Christian Krueger; Alexander Pfeil; Florian Streitparth; Karim Kentouche; Bernd Gruhn; Jochen G Mainz; Martin Stenzel; Ulf K Teichgraeber; Juergen R Reichenbach; Hans-Joachim Mentzel
Journal:  Eur Radiol       Date:  2021-10-20       Impact factor: 7.034

4.  Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

Authors:  Yuhan Wu; Sheng Zhao; Xiaohong Yang; Chunxue Yang; Zhen Shi; Qin Liu; Yubo Wang; Meilan Qin; Li Zhang
Journal:  Comput Math Methods Med       Date:  2022-03-27       Impact factor: 2.238

Review 5.  State-of-the-art MR Imaging for Thoracic Diseases.

Authors:  Yumi Tanaka; Yoshiharu Ohno; Satomu Hanamatsu; Yuki Obama; Takahiro Ueda; Hirotaka Ikeda; Akiyoshi Iwase; Takashi Fukuba; Hidekazu Hattori; Kazuhiro Murayama; Takeshi Yoshikawa; Daisuke Takenaka; Hisanobu Koyama; Hiroshi Toyama
Journal:  Magn Reson Med Sci       Date:  2021-04-29       Impact factor: 2.760

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.