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Hong K, Collins JD, Freed BH, Fan L, Arai AE, Hsu LY, Lee DC, Kim D. Accelerated Wideband Myocardial Perfusion Pulse Sequence with Compressed Sensing Reconstruction for Myocardial Blood Flow Quantification in Patients with a Cardiac Implantable Electronic Device. Radiol Cardiothorac Imaging 2020; 2:e190114. [PMID: 32420548 DOI: 10.1148/ryct.2020190114] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 09/17/2019] [Accepted: 10/02/2019] [Indexed: 11/11/2022]
Abstract
Purpose To develop an accelerated wideband cardiac perfusion pulse sequence and test whether it can produce diagnostically acceptable image quality and whether it can be used to reliably quantify myocardial blood flow (MBF) in patients with a cardiac implantable electronic device (CIED). Materials and Methods A fivefold-accelerated wideband perfusion pulse sequence was developed using compressed sensing to sample one arterial input function plane and three myocardial perfusion (MP) planes per heartbeat in patients with a CIED with heart rates as high as 102 beats per minute. Resting perfusion scans were performed in 10 patients with a CIED and in 10 patients with no device as a control group. Two clinical readers compared the resulting images and retrospective images of the 10 patients with a CIED, which were obtained by using a previously described twofold-accelerated wideband perfusion pulse sequence with temporal generalized autocalibrating partially parallel acquisition. Summed visual score (SVS) was defined as the sum of conspicuity, artifact, and noise scores individually ranging from 1 (worst) to 5 (best). Resting MBF in the remote zones was quantified using Fermi deconvolution. Results Median SVS was significantly different (P < .05) between the prospective and retrospective CIED groups (13 vs nine) and between the nondevice group and the retrospective CIED group (13.5 vs nine); all median SVSs were nine or greater (clinically acceptable cut point). The median resting MBF in remote zones was not significantly different (P = .27) between patients with a CIED (1.1 mL/min/g; median left ventricular ejection fraction [LVEF], 52.5%) and patients with no device (1.3 mL/min/g; median LVEF, 64.0%). Mean MBF values were consistent with those (mean resting MBF range, 1.0-1.2 mL/min/g) reported by two prior state-of-the-art cardiac perfusion MRI studies. Conclusion The proposed scan yielded diagnostically acceptable image quality and enabled reliable quantification of MBF with three MP planes per heartbeat in patients with a CIED with heart rates as high as 102 beats per minute. Supplemental material is available for this article. © RSNA, 2020.
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Affiliation(s)
- KyungPyo Hong
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Jeremy D Collins
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Benjamin H Freed
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Lexiaozi Fan
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Andrew E Arai
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Li-Yueh Hsu
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Daniel C Lee
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
| | - Daniel Kim
- Department of Radiology (K.P.H., L.F., D.K.) and Division of Cardiology, Department of Internal Medicine (B.H.F., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Suite 1600, Chicago, IL 60611; Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.C.); Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.A., L.Y.H.); and Department of Biomedical Engineering, Northwestern University, Evanston, Ill (L.F., D.K.)
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Kellman P, Hansen MS, Nielles-Vallespin S, Nickander J, Themudo R, Ugander M, Xue H. Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification. J Cardiovasc Magn Reson 2017; 19:43. [PMID: 28385161 PMCID: PMC5383963 DOI: 10.1186/s12968-017-0355-5] [Citation(s) in RCA: 175] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 03/23/2017] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Quantification of myocardial blood flow requires knowledge of the amount of contrast agent in the myocardial tissue and the arterial input function (AIF) driving the delivery of this contrast agent. Accurate quantification is challenged by the lack of linearity between the measured signal and contrast agent concentration. This work characterizes sources of non-linearity and presents a systematic approach to accurate measurements of contrast agent concentration in both blood and myocardium. METHODS A dual sequence approach with separate pulse sequences for AIF and myocardial tissue allowed separate optimization of parameters for blood and myocardium. A systems approach to the overall design was taken to achieve linearity between signal and contrast agent concentration. Conversion of signal intensity values to contrast agent concentration was achieved through a combination of surface coil sensitivity correction, Bloch simulation based look-up table correction, and in the case of the AIF measurement, correction of T2* losses. Validation of signal correction was performed in phantoms, and values for peak AIF concentration and myocardial flow are provided for 29 normal subjects for rest and adenosine stress. RESULTS For phantoms, the measured fits were within 5% for both AIF and myocardium. In healthy volunteers the peak [Gd] was 3.5 ± 1.2 for stress and 4.4 ± 1.2 mmol/L for rest. The T2* in the left ventricle blood pool at peak AIF was approximately 10 ms. The peak-to-valley ratio was 5.6 for the raw signal intensities without correction, and was 8.3 for the look-up-table (LUT) corrected AIF which represents approximately 48% correction. Without T2* correction the myocardial blood flow estimates are overestimated by approximately 10%. The signal-to-noise ratio of the myocardial signal at peak enhancement (1.5 T) was 17.7 ± 6.6 at stress and the peak [Gd] was 0.49 ± 0.15 mmol/L. The estimated perfusion flow was 3.9 ± 0.38 and 1.03 ± 0.19 ml/min/g using the BTEX model and 3.4 ± 0.39 and 0.95 ± 0.16 using a Fermi model, for stress and rest, respectively. CONCLUSIONS A dual sequence for myocardial perfusion cardiovascular magnetic resonance and AIF measurement has been optimized for quantification of myocardial blood flow. A validation in phantoms was performed to confirm that the signal conversion to gadolinium concentration was linear. The proposed sequence was integrated with a fully automatic in-line solution for pixel-wise mapping of myocardial blood flow and evaluated in adenosine stress and rest studies on N = 29 normal healthy subjects. Reliable perfusion mapping was demonstrated and produced estimates with low variability.
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Affiliation(s)
- Peter Kellman
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, 10 Center Drive MSC-1061, Bethesda, MD 20892 USA
| | - Michael S. Hansen
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, 10 Center Drive MSC-1061, Bethesda, MD 20892 USA
| | - Sonia Nielles-Vallespin
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, 10 Center Drive MSC-1061, Bethesda, MD 20892 USA
| | - Jannike Nickander
- Department of Clinical Physiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Raquel Themudo
- Department of Clinical Physiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Martin Ugander
- Department of Clinical Physiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Hui Xue
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, 10 Center Drive MSC-1061, Bethesda, MD 20892 USA
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Wang H, Bangerter NK, Park DJ, Adluru G, Kholmovski EG, Xu J, DiBella E. Comparison of centric and reverse-centric trajectories for highly accelerated three-dimensional saturation recovery cardiac perfusion imaging. Magn Reson Med 2014; 74:1070-6. [PMID: 25285855 DOI: 10.1002/mrm.25478] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Revised: 09/03/2014] [Accepted: 09/03/2014] [Indexed: 11/11/2022]
Abstract
PURPOSE Highly undersampled three-dimensional (3D) saturation-recovery sequences are affected by k-space trajectory since the magnetization does not reach steady state during the acquisition and the slab excitation profile yields different flip angles in different slices. This study compares centric and reverse-centric 3D cardiac perfusion imaging. METHODS An undersampled (98 phase encodes) 3D ECG-gated saturation-recovery sequence that alternates centric and reverse-centric acquisitions each time frame was used to image phantoms and in vivo subjects. Flip angle variation across the slices was measured, and contrast with each trajectory was analyzed via Bloch simulation. RESULTS Significant variations in flip angle were observed across slices, leading to larger signal variation across slices for the centric acquisition. In simulation, severe transient artifacts were observed when using the centric trajectory with higher flip angles, placing practical limits on the maximum flip angle used. The reverse-centric trajectory provided less contrast, but was more robust to flip angle variations. CONCLUSION Both of the k-space trajectories can provide reasonable image quality. The centric trajectory can have higher CNR, but is more sensitive to flip angle variation. The reverse-centric trajectory is more robust to flip angle variation.
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Affiliation(s)
- Haonan Wang
- Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
| | - Neal K Bangerter
- Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA.,Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | - Daniel J Park
- Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
| | - Ganesh Adluru
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | | | - Jian Xu
- Siemens Healthcare USA Inc., New York, New York, USA
| | - Edward DiBella
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
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de Rochefort L, Nguyen T, Brown R, Spincemaille P, Choi G, Weinsaft J, Prince MR, Wang Y. In vivo quantification of contrast agent concentration using the induced magnetic field for time-resolved arterial input function measurement with MRI. Med Phys 2008; 35:5328-5339. [PMID: 19175092 DOI: 10.1118/1.3002309] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024] Open
Abstract
For pharmacokinetic modeling of tissue physiology, there is great interest in measuring the arterial input function (AIF) from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) using paramagnetic contrast agents. Due to relaxation effects, the measured signal is a nonlinear function of the injected contrast agent concentration and depends on sequence parameters, system calibration, and time-of-flight effects, making it difficult to accurately measure the AIF during the first pass. Paramagnetic contrast agents also affect susceptibility and modify the magnetic field in proportion to their concentration. This information is contained in the MR signal phase which is discarded in a typical image reconstruction. However, quantifying AIF through contrast agent susceptibility induced phase changes is made difficult by the fact that the induced magnetic field is nonlocal and depends upon the contrast agent spatial distribution and thus on organ and vessel shapes. In this article, the contrast agent susceptibility was quantified through inversion of magnetic field shifts using a piece-wise constant model. Its feasibility is demonstrated by a determination of the AIF from the susceptibility-induced field changes of an intravenous bolus. After in vitro validation, a time-resolved two-dimensional (2D) gradient echo scan, triggered to diastole, was performed in vivo on the aortic arch during a bolus injection of 0.1 mmol/kg Gd-DTPA. An approximate geometrical model of the aortic arch constructed from the magnitude images was used to calculate the spatial variation of the field associated with the bolus. In 14 subjects, Gd concentration curves were measured dynamically (one measurement per heart beat) and indirectly validated by independent 2D cine phase contrast flow rate measurements. Flow rate measurements using indicator conservation with this novel quantitative susceptibility imaging technique were found to be in good agreement with those obtained from the cine phase contrast measurements in all subjects. Contrary to techniques that rely on intensity, the accuracy of this signal phase based method is insensitive to factors influencing signal intensity such as flip angle, coil sensitivity, relaxation changes, and time-of-flight effects extending the range of pulse sequences and contrast doses for which quantitative DCE-MRI can be applied.
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Affiliation(s)
- Ludovic de Rochefort
- Radiology Department, Weill Medical College of Cornell University, New York, New York 10022, USA
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