Literature DB >> 22575632

Myocardial blood flow quantification from MRI by deconvolution using an exponential approximation basis.

Gilion Hautvast1, Amedeo Chiribiri, Niloufar Zarinabad, Andreas Schuster, Marcel Breeuwer, Eike Nagel.   

Abstract

We have evaluated the use of deconvolution using an exponential approximation basis for the quantification of myocardial blood flow from perfusion cardiovascular magnetic resonance. Our experiments, based on simulated signal intensity curves, phantom acquisitions, and clinical image data, indicate that exponential deconvolution allows for accurate quantification of myocardial blood flow. Together with automated respiratory motion correction myocardial contour delineation, the exponential deconvolution enables efficient and reproducible quantification of myocardial blood flow in clinical routine.

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Year:  2012        PMID: 22575632      PMCID: PMC7611154          DOI: 10.1109/TBME.2012.2197620

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  24 in total

1.  Time delay for arrival of MR contrast agent in collateral-dependent myocardium.

Authors:  Michael Jerosch-Herold; Xudong Hu; Naveen S Murthy; Ravi T Seethamraju
Journal:  IEEE Trans Med Imaging       Date:  2004-07       Impact factor: 10.048

2.  Nonlinear myocardial signal intensity correction improves quantification of contrast-enhanced first-pass MR perfusion in humans.

Authors:  Li-Yueh Hsu; Peter Kellman; Andrew E Arai
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

3.  Deconvolution for DCE-MRI using an exponential approximation basis.

Authors:  Stephen L Keeling; Thomas Kogler; Rudolf Stollberger
Journal:  Med Image Anal       Date:  2008-06-24       Impact factor: 8.545

4.  Fully automated motion correction in first-pass myocardial perfusion MR image sequences.

Authors:  Julien Milles; Rob J van der Geest; Michael Jerosch-Herold; Johan H C Reiber; Boudewijn P F Lelieveldt
Journal:  IEEE Trans Med Imaging       Date:  2008-11       Impact factor: 10.048

5.  Myocardial perfusion modeling using MRI.

Authors:  H B Larsson; T Fritz-Hansen; E Rostrup; L Søndergaard; P Ring; O Henriksen
Journal:  Magn Reson Med       Date:  1996-05       Impact factor: 4.668

6.  A methodology for evaluation of boundary detection algorithms on medical images.

Authors:  V Chalana; Y Kim
Journal:  IEEE Trans Med Imaging       Date:  1997-10       Impact factor: 10.048

7.  Magnetic resonance quantification of the myocardial perfusion reserve with a Fermi function model for constrained deconvolution.

Authors:  M Jerosch-Herold; N Wilke; A E Stillman
Journal:  Med Phys       Date:  1998-01       Impact factor: 4.071

8.  Evaluation of the effect of myocardial segmentation errors on myocardial blood flow estimates from DCE-MRI.

Authors:  J Biglands; D Magee; R Boyle; A Larghat; S Plein; A Radjenović
Journal:  Phys Med Biol       Date:  2011-03-22       Impact factor: 3.609

9.  Mapping myocardial perfusion with an intravascular MR contrast agent: robustness of deconvolution methods at various blood flows.

Authors:  Bruno Neyran; Marc F Janier; Cendrine Casali; Didier Revel; Emmanuelle P Canet Soulas
Journal:  Magn Reson Med       Date:  2002-07       Impact factor: 4.668

10.  Perfusion phantom: An efficient and reproducible method to simulate myocardial first-pass perfusion measurements with cardiovascular magnetic resonance.

Authors:  Amedeo Chiribiri; Andreas Schuster; Masaki Ishida; Gilion Hautvast; Niloufar Zarinabad; Geraint Morton; James Otton; Sven Plein; Marcel Breeuwer; Philip Batchelor; Tobias Schaeffter; Eike Nagel
Journal:  Magn Reson Med       Date:  2012-04-24       Impact factor: 4.668

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  17 in total

1.  Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system.

Authors:  Andreas Schuster; Niloufar Zarinabad; Masaki Ishida; Matthew Sinclair; Jeroen Phm van den Wijngaard; Geraint Morton; Gilion Ltf Hautvast; Boris Bigalke; Pepijn van Horssen; Nicolas Smith; Jos Ae Spaan; Maria Siebes; Amedeo Chiribiri; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2014-10-14       Impact factor: 5.364

2.  A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in a magnetic resonance compatible free beating explanted pig heart model.

Authors:  Andreas Schuster; Matthew Sinclair; Niloufar Zarinabad; Masaki Ishida; Jeroen P H M van den Wijngaard; Matthias Paul; Pepijn van Horssen; Shazia T Hussain; Divaka Perera; Tobias Schaeffter; Jos A E Spaan; Maria Siebes; Eike Nagel; Amedeo Chiribiri
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-03-25       Impact factor: 6.875

3.  Effects of tracer arrival time on the accuracy of high-resolution (voxel-wise) myocardial perfusion maps from contrast-enhanced first-pass perfusion magnetic resonance.

Authors:  Niloufar Zarinabad; Gilion L T F Hautvast; Eva Sammut; Aruna Arujuna; Marcel Breeuwer; Eike Nagel; Amedeo Chiribiri
Journal:  IEEE Trans Biomed Eng       Date:  2014-09       Impact factor: 4.538

4.  Feasibility of high-resolution quantitative perfusion analysis in patients with heart failure.

Authors:  Eva Sammut; Niloufar Zarinabad; Roman Wesolowski; Geraint Morton; Zhong Chen; Manav Sohal; Gerry Carr-White; Reza Razavi; Amedeo Chiribiri
Journal:  J Cardiovasc Magn Reson       Date:  2015-02-12       Impact factor: 5.364

5.  Influence of spatial resolution on the accuracy of quantitative myocardial perfusion in first pass stress perfusion CMR.

Authors:  Niloufar Zarinabad; Amedeo Chiribiri; Gilion L T F Hautvast; Marcel Breeuwer; Eike Nagel
Journal:  Magn Reson Med       Date:  2014-05-20       Impact factor: 4.668

6.  A direct comparison of the sensitivity of CT and MR cardiac perfusion using a myocardial perfusion phantom.

Authors:  James Otton; Geraint Morton; Andreas Schuster; Boris Bigalke; Riccardo Marano; Luca Olivotti; Eike Nagel; Amedeo Chiribiri
Journal:  J Cardiovasc Comput Tomogr       Date:  2013-03-16

7.  Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonance.

Authors:  Matthew Jacobs; Mitchel Benovoy; Lin-Ching Chang; Andrew E Arai; Li-Yueh Hsu
Journal:  J Cardiovasc Magn Reson       Date:  2016-04-08       Impact factor: 5.364

8.  Hyperemic stress myocardial perfusion cardiovascular magnetic resonance in mice at 3 Tesla: initial experience and validation against microspheres.

Authors:  Roy Jogiya; Markus Makowski; Alkystsis Phinikaridou; Ashish S Patel; Christian Jansen; Niloufar Zarinabad; Amedeo Chiribiri; Rene Botnar; Eike Nagel; Sebastian Kozerke; Sven Plein
Journal:  J Cardiovasc Magn Reson       Date:  2013-07-21       Impact factor: 5.364

9.  A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging.

Authors:  A N Cookson; J Lee; C Michler; R Chabiniok; E Hyde; D Nordsletten; N P Smith
Journal:  Med Image Anal       Date:  2014-07-18       Impact factor: 8.545

Review 10.  Clinical Translation of Three-Dimensional Scar, Diffusion Tensor Imaging, Four-Dimensional Flow, and Quantitative Perfusion in Cardiac MRI: A Comprehensive Review.

Authors:  Sophie Paddock; Vasiliki Tsampasian; Hosamadin Assadi; Bruno Calife Mota; Andrew J Swift; Amrit Chowdhary; Peter Swoboda; Eylem Levelt; Eva Sammut; Amardeep Dastidar; Jordi Broncano Cabrero; Javier Royuela Del Val; Paul Malcolm; Julia Sun; Alisdair Ryding; Chris Sawh; Richard Greenwood; David Hewson; Vassilios Vassiliou; Pankaj Garg
Journal:  Front Cardiovasc Med       Date:  2021-07-07
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