David Chen1,2, Behzad Sharif2, Rohan Dharmakumar2,3, Louise E J Thomson4,5, C Noel Bairey Merz5, Daniel S Berman2,4, Debiao Li2,3. 1. Department of Biomedical Engineering, Northwestern University, Chicago, Illinois, USA. 2. Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA. 3. David Geffen School of Medicine, University of California, Los Angeles, California, USA. 4. S. Mark Taper Foundation Imaging Center, Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA. 5. Barbara Streisand Women's Heart Center, Cedars-Sinai Heart Institute, Los Angeles, California, USA.
Abstract
PURPOSE: MR myocardial perfusion imaging is dependent on reliable electrocardiogram (ECG) triggering for accurate measurement of myocardial blood flow (MBF). A non-ECG-triggered method for quantitative first-pass imaging may improve clinical feasibility in patients with poor ECG signal. The purpose of this study is to evaluate the feasibility of a non-ECG-triggered method for myocardial perfusion imaging in a single slice. METHODS: The proposed non-ECG-triggered technique uses a saturation-recovery magnetization preparation and golden-angle radial acquisition for integrated arterial input function (AIF) measurement. Image based self-gating with a temporal resolution of 42.6 ms is used to generate a first-pass image series with consistent cardiac phase. The AIF is measured using beat-by-beat T1 estimation of the ventricular blood pool. The proposed technique was performed on 14 healthy volunteers and compared against a conventional ECG-triggered dual-bolus acquisition. RESULTS: The proposed method produced MBF with no significant difference compared with ECG-triggered technique (mean of 0.63 ± 0.22 mL/min/g to 0.73 ± 0.21 mL/min/g). CONCLUSION: We have developed a non-ECG-triggered perfusion imaging method with T1 based measurement of the AIF in a single slice. In this preliminary study, our results demonstrate that MBF measured using the proposed method is comparable to the conventional ECG-triggered method.
PURPOSE: MR myocardial perfusion imaging is dependent on reliable electrocardiogram (ECG) triggering for accurate measurement of myocardial blood flow (MBF). A non-ECG-triggered method for quantitative first-pass imaging may improve clinical feasibility in patients with poor ECG signal. The purpose of this study is to evaluate the feasibility of a non-ECG-triggered method for myocardial perfusion imaging in a single slice. METHODS: The proposed non-ECG-triggered technique uses a saturation-recovery magnetization preparation and golden-angle radial acquisition for integrated arterial input function (AIF) measurement. Image based self-gating with a temporal resolution of 42.6 ms is used to generate a first-pass image series with consistent cardiac phase. The AIF is measured using beat-by-beat T1 estimation of the ventricular blood pool. The proposed technique was performed on 14 healthy volunteers and compared against a conventional ECG-triggered dual-bolus acquisition. RESULTS: The proposed method produced MBF with no significant difference compared with ECG-triggered technique (mean of 0.63 ± 0.22 mL/min/g to 0.73 ± 0.21 mL/min/g). CONCLUSION: We have developed a non-ECG-triggered perfusion imaging method with T1 based measurement of the AIF in a single slice. In this preliminary study, our results demonstrate that MBF measured using the proposed method is comparable to the conventional ECG-triggered method.
Authors: Li-Yueh Hsu; Kenneth L Rhoads; Jessica E Holly; Peter Kellman; Anthony H Aletras; Andrew E Arai Journal: J Magn Reson Imaging Date: 2006-03 Impact factor: 4.813
Authors: Juerg Schwitter; Christian M Wacker; Albert C van Rossum; Massimo Lombardi; Nidal Al-Saadi; Hakan Ahlstrom; Thorsten Dill; Henrik B W Larsson; Scott D Flamm; Moritz Marquardt; Lars Johansson Journal: Eur Heart J Date: 2008-01-21 Impact factor: 29.983
Authors: Jaime L Shaw; Michael D Nelson; Janet Wei; Manish Motwani; Sofy Landes; Puja K Mehta; Louise E J Thomson; Daniel S Berman; Debiao Li; C Noel Bairey Merz; Behzad Sharif Journal: Int J Cardiol Date: 2018-06-22 Impact factor: 4.164
Authors: David Chen; Behzad Sharif; Xiaoming Bi; Janet Wei; Louise E J Thomson; C Noel Bairey Merz; Daniel S Berman; Debiao Li Journal: Magn Reson Med Date: 2015-06-08 Impact factor: 4.668
Authors: Anthony G Christodoulou; Jaime L Shaw; Christopher Nguyen; Qi Yang; Yibin Xie; Nan Wang; Debiao Li Journal: Nat Biomed Eng Date: 2018-04-09 Impact factor: 25.671