Literature DB >> 22290603

Multislice fractional ventilation imaging in large animals with hyperpolarized gas MRI.

Kiarash Emami1, Yinan Xu, Hooman Hamedani, Yi Xin, Harrilla Profka, Jennia Rajaei, Stephen Kadlecek, Masaru Ishii, Rahim R Rizi.   

Abstract

The noninvasive assessment of regional lung ventilation is of critical importance in the quantification of the severity of disease and evaluation of response to therapy in many pan class="Disease">pulmonary diseases. This work presents, for the first time, the implementation of a hyperpolarized (HP) gas MRI technique to measure whole-lung regional fractional ventilation (r) in Yorkshire pigs (n = 5) through the use of a gas mixing and delivery device in the supine position. The proposed technique utilizes a series of back-to-back HP gas breaths with images acquired during short end-inspiratory breath-holds. In order to decouple the radiofrequency pulse decay effect from the ventilatory signal build-up in the airways, the regional distribution of the flip angle (α) was estimated in the imaged slices by acquiring a series of back-to-back images with no interscan time delay during a breath-hold at the tail end of the ventilation sequence. Analysis was performed to assess the sensitivity of the multislice ventilation model to noise, oxygen and the number of flip angle images. The optimal α value was determined on the basis of the minimization of the error in r estimation: α(opt) = 5-6º for the set of acquisition parameters in pigs. The mean r values for the group of pigs were 0.27 ± 0.09, 0.35 ± 0.06 and 0.40 ± 0.04 for the ventral, middle and dorsal slices, respectively (excluding conductive airways r 0.9). A positive gravitational (ventral-dorsal) ventilation gradient effect was present in all animals. The trachea and major conductive airways showed a uniform near-unity r value, with progressively smaller values corresponding to smaller diameter airways, and ultimately leading to lung parenchyma. The results demonstrate the feasibility of the measurement of the fractional ventilation in large species, and provide a platform to address the technical challenges associated with long breathing time scales through the optimization of acquisition parameters in species with a pulmonary physiology very similar to that of humans.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22290603      PMCID: PMC3362674          DOI: 10.1002/nbm.2763

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  33 in total

1.  Hyperpolarized 3He MR lung ventilation imaging in asthmatics: preliminary findings.

Authors:  T A Altes; P L Powers; J Knight-Scott; G Rakes; T A Platts-Mills; E E de Lange; B A Alford; J P Mugler; J R Brookeman
Journal:  J Magn Reson Imaging       Date:  2001-03       Impact factor: 4.813

2.  Comparison between 2D and 3D gradient-echo sequences for MRI of human lung ventilation with hyperpolarized 3He.

Authors:  Jim M Wild; Neil Woodhouse; Martyn N J Paley; Stan Fichele; Zead Said; Larry Kasuboski; Edwin J R van Beek
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

3.  Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.

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4.  Hyperpolarized 3helium magnetic resonance ventilation imaging of the lung in cystic fibrosis: comparison with high resolution CT and spirometry.

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Journal:  Eur Radiol       Date:  2006-07-27       Impact factor: 5.315

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8.  Vertical distribution of specific ventilation in normal supine humans measured by oxygen-enhanced proton MRI.

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9.  Simultaneous measurement of pulmonary partial pressure of oxygen and apparent diffusion coefficient by hyperpolarized 3He MRI.

Authors:  Jiangsheng Yu; Michelle Law; Stephen Kadlecek; Kiarash Emami; Masaru Ishii; Michael Stephen; John M Woodburn; Vahid Vahdat; Rahim R Rizi
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

10.  Quantitative measurement of regional lung ventilation using 3He MRI.

Authors:  Anselm J Deninger; Sven Månsson; J Stefan Petersson; Göran Pettersson; Peter Magnusson; Jonas Svensson; Björn Fridlund; Georg Hansson; Ingrid Erjefeldt; Per Wollmer; Klaes Golman
Journal:  Magn Reson Med       Date:  2002-08       Impact factor: 4.668

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  6 in total

1.  Vertical gradients in regional alveolar oxygen tension in supine human lung imaged by hyperpolarized 3He MRI.

Authors:  Hooman Hamedani; Hoora Shaghaghi; Stephen J Kadlecek; Yi Xin; Biao Han; Sarmad Siddiqui; Jennia Rajaei; Masaru Ishii; Milton Rossman; Rahim R Rizi
Journal:  NMR Biomed       Date:  2014-12       Impact factor: 4.044

Review 2.  Imaging for lung physiology: what do we wish we could measure?

Authors:  H Thomas Robertson; Richard B Buxton
Journal:  J Appl Physiol (1985)       Date:  2012-05-10

3.  A hybrid multibreath wash-in wash-out lung function quantification scheme in human subjects using hyperpolarized 3 He MRI for simultaneous assessment of specific ventilation, alveolar oxygen tension, oxygen uptake, and air trapping.

Authors:  Hooman Hamedani; Stephen Kadlecek; Yi Xin; Sarmad Siddiqui; Heather Gatens; Joseph Naji; Masaru Ishii; Maurizio Cereda; Milton Rossman; Rahim Rizi
Journal:  Magn Reson Med       Date:  2016-10-13       Impact factor: 4.668

4.  Accelerated fractional ventilation imaging with hyperpolarized Gas MRI.

Authors:  Kiarash Emami; Yinan Xu; Hooman Hamedani; Harrilla Profka; Stephen Kadlecek; Yi Xin; Masaru Ishii; Rahim R Rizi
Journal:  Magn Reson Med       Date:  2013-02-11       Impact factor: 4.668

5.  Ventilation heterogeneity imaged by multibreath wash-ins of hyperpolarized 3 He and 129 Xe in healthy rabbits.

Authors:  Hooman Hamedani; Stephen Kadlecek; Kai Ruppert; Yi Xin; Ian Duncan; Rahim R Rizi
Journal:  J Physiol       Date:  2021-08-10       Impact factor: 6.228

6.  Multiple breath washout of hyperpolarized 129 Xe and 3 He in human lungs with three-dimensional balanced steady-state free-precession imaging.

Authors:  Felix C Horn; Madhwesha Rao; Neil J Stewart; Jim M Wild
Journal:  Magn Reson Med       Date:  2016-07-12       Impact factor: 4.668

  6 in total

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