Bhairav B Mehta1, Xiao Chen1, Kenneth C Bilchick2, Michael Salerno1,3,2, Frederick H Epstein1,3. 1. Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA. 2. Department of Cardiology, University of Virginia, Charlottesville, Virginia, USA. 3. Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
Abstract
PURPOSE: To develop a method for high-resolution cardiac T1 mapping. METHODS: A new method, accelerated and navigator-gated look-locker imaging for cardiac T1 estimation (ANGIE), was developed. An adaptive acquisition algorithm that accounts for the interplay between navigator gating and undersampling patterns well-suited for compressed sensing was used to minimize scan time. Computer simulations, phantom experiments, and imaging of the left ventricle (LV) were used to optimize and evaluate ANGIE. ANGIE's high spatial resolution was demonstrated by T1 mapping of the right ventricle (RV). Comparisons were made to modified Look-Locker imaging (MOLLI). RESULTS: Retrospective reconstruction of fully sampled datasets demonstrated the advantages of the adaptive algorithm. For the LV, ANGIE measurements of T1 were in good agreement with MOLLI. For the RV, ANGIE achieved a spatial resolution of 1.2 × 1.2 mm(2) with a scan time of 157 ± 53 s per slice, and measured RV T1 values of 980 ± 96 ms versus 1076 ± 157 ms for lower-resolution MOLLI. ANGIE provided lower intrascan variation in the RV T1 estimate compared with MOLLI (P < 0.05). CONCLUSION: ANGIE enables high-resolution cardiac T1 mapping in clinically reasonable scan times. ANGIE opens the prospect of quantitative T1 mapping of thin cardiovascular structures such as the RV wall.
PURPOSE: To develop a method for high-resolution cardiac T1 mapping. METHODS: A new method, accelerated and navigator-gated look-locker imaging for cardiac T1 estimation (ANGIE), was developed. An adaptive acquisition algorithm that accounts for the interplay between navigator gating and undersampling patterns well-suited for compressed sensing was used to minimize scan time. Computer simulations, phantom experiments, and imaging of the left ventricle (LV) were used to optimize and evaluate ANGIE. ANGIE's high spatial resolution was demonstrated by T1 mapping of the right ventricle (RV). Comparisons were made to modified Look-Locker imaging (MOLLI). RESULTS: Retrospective reconstruction of fully sampled datasets demonstrated the advantages of the adaptive algorithm. For the LV, ANGIE measurements of T1 were in good agreement with MOLLI. For the RV, ANGIE achieved a spatial resolution of 1.2 × 1.2 mm(2) with a scan time of 157 ± 53 s per slice, and measured RV T1 values of 980 ± 96 ms versus 1076 ± 157 ms for lower-resolution MOLLI. ANGIE provided lower intrascan variation in the RV T1 estimate compared with MOLLI (P < 0.05). CONCLUSION:ANGIE enables high-resolution cardiac T1 mapping in clinically reasonable scan times. ANGIE opens the prospect of quantitative T1 mapping of thin cardiovascular structures such as the RV wall.
Authors: Harikrishna Tandri; Manoj Saranathan; E Rene Rodriguez; Claudia Martinez; Chandra Bomma; Khurram Nasir; Boas Rosen; João A C Lima; Hugh Calkins; David A Bluemke Journal: J Am Coll Cardiol Date: 2005-01-04 Impact factor: 24.094
Authors: Leah Iles; Heinz Pfluger; Arintaya Phrommintikul; Joshi Cherayath; Pelin Aksit; Sandeep N Gupta; David M Kaye; Andrew J Taylor Journal: J Am Coll Cardiol Date: 2008-11-04 Impact factor: 24.094
Authors: Stefan K Piechnik; Vanessa M Ferreira; Erica Dall'Armellina; Lowri E Cochlin; Andreas Greiser; Stefan Neubauer; Matthew D Robson Journal: J Cardiovasc Magn Reson Date: 2010-11-19 Impact factor: 5.364
Authors: Sebastian Weingärtner; Nadja M Meßner; Frank G Zöllner; Mehmet Akçakaya; Lothar R Schad Journal: Magn Reson Med Date: 2016-09-16 Impact factor: 4.668
Authors: Sebastian Weingärtner; Steen Moeller; Sebastian Schmitter; Edward Auerbach; Peter Kellman; Chetan Shenoy; Mehmet Akçakaya Journal: Magn Reson Med Date: 2017-06-05 Impact factor: 4.668
Authors: Nerejda Shehu; Christian Meierhofer; Daniel Messroghli; Naira Mkrtchyan; Stefan Martinoff; Peter Ewert; Heiko Stern Journal: Int J Cardiovasc Imaging Date: 2018-03-29 Impact factor: 2.357