Literature DB >> 26646061

Comprehensive motion-compensated highly accelerated 4D flow MRI with ferumoxytol enhancement for pediatric congenital heart disease.

Joseph Y Cheng1, Kate Hanneman1,2, Tao Zhang1, Marcus T Alley1, Peng Lai3, Jonathan I Tamir4, Martin Uecker4, John M Pauly5, Michael Lustig4, Shreyas S Vasanawala1.   

Abstract

PURPOSE: To develop and evaluate motion-compensation and compressed-sensing techniques in 4D flow MRI for anatomical assessment in a comprehensive ferumoxytol-enhanced congenital heart disease (CHD) exam.
MATERIALS AND METHODS: A Cartesian 4D flow sequence was developed to enable intrinsic navigation and two variable-density sampling schemes: VDPoisson and VDRad. Four compressed-sensing methods were developed: A) VDPoisson scan reconstructed using spatial wavelets; B) added temporal total variation to A; C) VDRad scan using the same reconstruction as in B; and D) added motion compensation to C. With Institutional Review Board (IRB) approval and Health Insurance Portability and Accountability Act (HIPAA) compliance, 23 consecutive patients (eight females, mean 6.3 years) referred for ferumoxytol-enhanced CHD 3T MRI were recruited. Images were acquired and reconstructed using methods A-D. Two cardiovascular radiologists independently scored the images on a 5-point scale. These readers performed a paired wall motion and functional assessment between method D and 2D balanced steady-state free precession (bSSFP) CINE for 16 cases.
RESULTS: Method D had higher diagnostic image quality for most anatomical features (mean 3.8-4.8) compared to A (2.0-3.6), B (2.2-3.7), and C (2.9-3.9) with P < 0.05 with good interobserver agreement (κ ≥ 0.49). Method D had similar or better assessment of myocardial borders and cardiac motion compared to 2D bSSFP (P < 0.05, κ ≥ 0.77). All methods had good internal agreement in comparing aortic with pulmonic flow (BA mean < 0.02%, r > 0.85) and compared to method A (BA mean < 0.13%, r > 0.84) with P < 0.01.
CONCLUSION: Flow, functional, and anatomical assessment in CHD with ferumoxytol-enhanced 4D flow is feasible and can be significantly improved using motion compensation and compressed sensing. J. Magn. Reson. Imaging 2016;43:1355-1368.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  4D flow; compressed sensing; congenital heart disease; motion; soft-gating

Mesh:

Substances:

Year:  2015        PMID: 26646061      PMCID: PMC4865413          DOI: 10.1002/jmri.25106

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  35 in total

1.  Analysis of flow patterns using MRI.

Authors:  M H Buonocore; H G Bogren
Journal:  Int J Card Imaging       Date:  1999-04

2.  Image metric-based correction (autocorrection) of motion effects: analysis of image metrics.

Authors:  K P McGee; A Manduca; J P Felmlee; S J Riederer; R L Ehman
Journal:  J Magn Reson Imaging       Date:  2000-02       Impact factor: 4.813

3.  Minimizing TE in moment-nulled or flow-encoded two- and three-dimensional gradient-echo imaging.

Authors:  M A Bernstein; A Shimakawa; N J Pelc
Journal:  J Magn Reson Imaging       Date:  1992 Sep-Oct       Impact factor: 4.813

4.  A pilot investigation of new superparamagnetic iron oxide (ferumoxytol) as a contrast agent for cardiovascular MRI.

Authors:  Martin R Prince; Hong Lei Zhang; Shalini G Chabra; Paula Jacobs; Yi Wang
Journal:  J Xray Sci Technol       Date:  2003-01-01       Impact factor: 1.535

5.  Nonrigid motion correction in 3D using autofocusing with localized linear translations.

Authors:  Joseph Y Cheng; Marcus T Alley; Charles H Cunningham; Shreyas S Vasanawala; John M Pauly; Michael Lustig
Journal:  Magn Reson Med       Date:  2012-02-03       Impact factor: 4.668

6.  Quantification of thoracic blood flow using volumetric magnetic resonance imaging with radial velocity encoding: in vivo validation.

Authors:  Alex Frydrychowicz; Oliver Wieben; Eric Niespodzany; Scott B Reeder; Kevin M Johnson; Christopher J François
Journal:  Invest Radiol       Date:  2013-12       Impact factor: 6.016

7.  Free-breathing pediatric MRI with nonrigid motion correction and acceleration.

Authors:  Joseph Y Cheng; Tao Zhang; Nichanan Ruangwattanapaisarn; Marcus T Alley; Martin Uecker; John M Pauly; Michael Lustig; Shreyas S Vasanawala
Journal:  J Magn Reson Imaging       Date:  2014-10-20       Impact factor: 4.813

Review 8.  Anaesthesia for MRI in the paediatric patient.

Authors:  Gianpaolo Serafini; Nicola Zadra
Journal:  Curr Opin Anaesthesiol       Date:  2008-08       Impact factor: 2.706

9.  ESPIRiT--an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

Authors:  Martin Uecker; Peng Lai; Mark J Murphy; Patrick Virtue; Michael Elad; John M Pauly; Shreyas S Vasanawala; Michael Lustig
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

10.  Four-dimensional, multiphase, steady-state imaging with contrast enhancement (MUSIC) in the heart: a feasibility study in children.

Authors:  Fei Han; Stanislas Rapacchi; Sarah Khan; Ihab Ayad; Isidro Salusky; Simon Gabriel; Adam Plotnik; J Paul Finn; Peng Hu
Journal:  Magn Reson Med       Date:  2014-10-09       Impact factor: 4.668

View more
  44 in total

1.  k-t accelerated aortic 4D flow MRI in under two minutes: Feasibility and impact of resolution, k-space sampling patterns, and respiratory navigator gating on hemodynamic measurements.

Authors:  Emilie Bollache; Alex J Barker; Ryan Scott Dolan; James C Carr; Pim van Ooij; Rouzbeh Ahmadian; Alex Powell; Jeremy D Collins; Julia Geiger; Michael Markl
Journal:  Magn Reson Med       Date:  2017-03-07       Impact factor: 4.668

2.  Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k-space reordering, and inline reconstruction.

Authors:  Liliana E Ma; Michael Markl; Kelvin Chow; Hyungkyu Huh; Christoph Forman; Alireza Vali; Andreas Greiser; James Carr; Susanne Schnell; Alex J Barker; Ning Jin
Journal:  Magn Reson Med       Date:  2019-02-25       Impact factor: 4.668

Review 3.  Congenital anomalies of the aortic arch.

Authors:  Sarv Priya; Richard Thomas; Prashant Nagpal; Arun Sharma; Michael Steigner
Journal:  Cardiovasc Diagn Ther       Date:  2018-04

4.  Formulation of image fusion as a constrained least squares optimization problem.

Authors:  Nicholas Dwork; Eric M Lasry; John M Pauly; Jorge Balbás
Journal:  J Med Imaging (Bellingham)       Date:  2017-02-28

5.  Volumetric segmentation-free method for rapid visualization of vascular wall shear stress using 4D flow MRI.

Authors:  Evan M Masutani; Francisco Contijoch; Espoir Kyubwa; Joseph Cheng; Marcus T Alley; Shreyas Vasanawala; Albert Hsiao
Journal:  Magn Reson Med       Date:  2018-03-07       Impact factor: 4.668

Review 6.  Cardiac Magnetic Resonance Quantification of Structure-Function Relationships in Heart Failure.

Authors:  Kim-Lien Nguyen; Peng Hu; J Paul Finn
Journal:  Heart Fail Clin       Date:  2020-10-28       Impact factor: 3.179

Review 7.  Current and potential imaging applications of ferumoxytol for magnetic resonance imaging.

Authors:  Gerda B Toth; Csanad G Varallyay; Andrea Horvath; Mustafa R Bashir; Peter L Choyke; Heike E Daldrup-Link; Edit Dosa; John Paul Finn; Seymur Gahramanov; Mukesh Harisinghani; Iain Macdougall; Alexander Neuwelt; Shreyas S Vasanawala; Prakash Ambady; Ramon Barajas; Justin S Cetas; Jeremy Ciporen; Thomas J DeLoughery; Nancy D Doolittle; Rongwei Fu; John Grinstead; Alexander R Guimaraes; Bronwyn E Hamilton; Xin Li; Heather L McConnell; Leslie L Muldoon; Gary Nesbit; Joao P Netto; David Petterson; William D Rooney; Daniel Schwartz; Laszlo Szidonya; Edward A Neuwelt
Journal:  Kidney Int       Date:  2017-04-20       Impact factor: 10.612

8.  Self-gated 4D multiphase, steady-state imaging with contrast enhancement (MUSIC) using rotating cartesian K-space (ROCK): Validation in children with congenital heart disease.

Authors:  Fei Han; Ziwu Zhou; Eric Han; Yu Gao; Kim-Lien Nguyen; J Paul Finn; Peng Hu
Journal:  Magn Reson Med       Date:  2016-08-16       Impact factor: 4.668

9.  4D flow MR imaging of the portal venous system: a feasibility study in children.

Authors:  Keyur Parekh; Michael Markl; Michael Rose; Susanne Schnell; Andrada Popescu; Cynthia K Rigsby
Journal:  Eur Radiol       Date:  2016-05-18       Impact factor: 5.315

10.  Compressed Sensing: From Research to Clinical Practice with Deep Neural Networks.

Authors:  Christopher M Sandino; Joseph Y Cheng; Feiyu Chen; Morteza Mardani; John M Pauly; Shreyas S Vasanawala
Journal:  IEEE Signal Process Mag       Date:  2020-01-17       Impact factor: 12.551

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.