Literature DB >> 24259113

In vivo three-dimensional high resolution cardiac diffusion-weighted MRI: a motion compensated diffusion-prepared balanced steady-state free precession approach.

Christopher Nguyen1, Zhaoyang Fan, Behzad Sharif, Yi He, Rohan Dharmakumar, Daniel S Berman, Debiao Li.   

Abstract

PURPOSE: The aim of this study was to implement and optimize a novel application of diffusion-prepared balanced steady-state free precession (bSSFP) to perform in vivo cardiac diffusion-weighted MRI. THEORY AND METHODS: Diffusion-prepared sequences have the flexibility to diffusion encode with a multi-shot image readout. The diffusion preparation was optimized to reduce sensitivity to cardiac bulk motion with second order motion compensation (M1M2). The image readout consisted of a three-dimensional (3D) centric-encoded segmented bSSFP acquisition that incorporated a prospective navigator. Ten healthy subjects were scanned twice using the proposed technique diffusion preparation with and without M1M2 using three orthogonal directions under varying off-resonance conditions. Trace apparent diffusion coefficient (trADC) maps and the left ventricular (LV) trADC were calculated.
RESULTS: M1M2 diffusion-prepared scans resulted in LV trADC values of 1.5 ± 0.4 × 10(-3) mm(2)/s that were reproducible yielding no statistical differences (P = 0.54). M1M2 diffusion-prepared images showed no ghosting artifacts and/or signal fallout. The non-motion-compensated diffusion-prepared scans yielded LV trADC values of 6.6 ± 0.9 × 10(-3) mm(2)/s and diffusion-prepared images with severe bulk motion-induced artifacts.
CONCLUSION: We developed a novel free-breathing bulk motion compensated diffusion-prepared 3D segmented bSSFP technique able to perform in vivo cardiac diffusion-weighted MRI on a conventional clinical MR scanner.
Copyright © 2013 Wiley Periodicals, Inc.

Keywords:  bSSFP; cardiovascular MRI; diffusion preparation; motion compensation

Mesh:

Year:  2013        PMID: 24259113     DOI: 10.1002/mrm.25038

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  44 in total

1.  Three-dimensional simultaneous brain T1 , T2 , and ADC mapping with MR Multitasking.

Authors:  Sen Ma; Christopher T Nguyen; Fei Han; Nan Wang; Zixin Deng; Nader Binesh; Franklin G Moser; Anthony G Christodoulou; Debiao Li
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

Review 2.  Recent Advances in Cardiovascular Magnetic Resonance: Techniques and Applications.

Authors:  Michael Salerno; Behzad Sharif; Håkan Arheden; Andreas Kumar; Leon Axel; Debiao Li; Stefan Neubauer
Journal:  Circ Cardiovasc Imaging       Date:  2017-06       Impact factor: 7.792

3.  Analysis of phase error effects in multishot diffusion-prepared turbo spin echo imaging.

Authors:  Anh T Van; Barbara Cervantes; Hendrik Kooijman; Dimitrios C Karampinos
Journal:  Quant Imaging Med Surg       Date:  2017-04

4.  Quantifying precision in cardiac diffusion tensor imaging with second-order motion-compensated convex optimized diffusion encoding.

Authors:  Eric Aliotta; Kévin Moulin; Patrick Magrath; Daniel B Ennis
Journal:  Magn Reson Med       Date:  2018-02-09       Impact factor: 4.668

Review 5.  Magnetic Resonance-Based Characterization of Myocardial Architecture.

Authors:  David E Sosnovik
Journal:  Heart Fail Clin       Date:  2020-10-28       Impact factor: 3.179

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

7.  Fast submillimeter diffusion MRI using gSlider-SMS and SNR-enhancing joint reconstruction.

Authors:  Justin P Haldar; Yunsong Liu; Congyu Liao; Qiuyun Fan; Kawin Setsompop
Journal:  Magn Reson Med       Date:  2020-01-10       Impact factor: 4.668

8.  Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints.

Authors:  Sen Ma; Christopher T Nguyen; Anthony G Christodoulou; Daniel Luthringer; Jon Kobashigawa; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li
Journal:  IEEE Trans Biomed Eng       Date:  2017-12-25       Impact factor: 4.538

9.  Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.

Authors:  Hung P Do; Yi Guo; Andrew J Yoon; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-11-14       Impact factor: 4.668

10.  Simultaneous measurement of T2 and apparent diffusion coefficient (T2 +ADC) in the heart with motion-compensated spin echo diffusion-weighted imaging.

Authors:  Eric Aliotta; Kévin Moulin; Zhaohuan Zhang; Daniel B Ennis
Journal:  Magn Reson Med       Date:  2017-05-17       Impact factor: 4.668

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