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Koechli M, Callaghan FM, Burkhardt BEU, Lohézic M, Zhu X, Rücker B, Valsangiacomo Buechel ER, Kellenberger CJ, Geiger J. Accelerated cardiac magnetic resonance imaging using deep learning for volumetric assessment in children. Pediatr Radiol 2024; 54:1674-1685. [PMID: 39017676 PMCID: PMC11377620 DOI: 10.1007/s00247-024-05978-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND Ventricular volumetry using a short-axis stack of two-dimensional (D) cine balanced steady-state free precession (bSSFP) sequences is crucial in any cardiac magnetic resonance imaging (MRI) examination. This task becomes particularly challenging in children due to multiple breath-holds. OBJECTIVE To assess the diagnostic performance of accelerated 3-RR cine MRI sequences using deep learning reconstruction compared with standard 2-D cine bSSFP sequences. MATERIAL AND METHODS Twenty-nine consecutive patients (mean age 11 ± 5, median 12, range 1-17 years) undergoing cardiac MRI were scanned with a conventional segmented 2-D cine and a deep learning accelerated cine (three heartbeats) acquisition on a 1.5-tesla scanner. Short-axis volumetrics were performed (semi-)automatically in both datasets retrospectively by two experienced readers who visually assessed image quality employing a 4-point grading scale. Scan times and image quality were compared using the Wilcoxon rank-sum test. Volumetrics were assessed with linear regression and Bland-Altman analyses, and measurement agreement with intraclass correlation coefficient (ICC). RESULTS Mean acquisition time was significantly reduced with the 3-RR deep learning cine compared to the standard cine sequence (45.5 ± 13.8 s vs. 218.3 ± 44.8 s; P < 0.001). No significant differences in biventricular volumetrics were found. Left ventricular (LV) mass was increased in the deep learning cine compared with the standard cine sequence (71.4 ± 33.1 g vs. 69.9 ± 32.5 g; P < 0.05). All volumetric measurements had an excellent agreement with ICC > 0.9 except for ejection fraction (EF) (LVEF 0.81, RVEF 0.73). The image quality of deep learning cine images was decreased for end-diastolic and end-systolic contours, papillary muscles, and valve depiction (2.9 ± 0.5 vs. 3.5 ± 0.4; P < 0.05). CONCLUSION Deep learning cine volumetrics did not differ significantly from standard cine results except for LV mass, which was slightly overestimated with deep learning cine. Deep learning cine sequences result in a significant reduction in scan time with only slightly lower image quality.
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Affiliation(s)
- Melina Koechli
- Department of Diagnostic Imaging, University Children's Hospital Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Fraser M Callaghan
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
- Center for MR-Research, University Children's Hospital Zurich, Zurich, Switzerland
| | - Barbara E U Burkhardt
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | | | | | - Beate Rücker
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Emanuela R Valsangiacomo Buechel
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
- Pediatric Heart Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Christian J Kellenberger
- Department of Diagnostic Imaging, University Children's Hospital Zurich, Zurich, Switzerland
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Julia Geiger
- Department of Diagnostic Imaging, University Children's Hospital Zurich, Zurich, Switzerland.
- Children's Research Center, University Children's Hospital Zurich, Zurich, Switzerland.
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Reiter C, Reiter G, Kräuter C, Scherr D, Schmidt A, Fuchsjäger M, Reiter U. Evaluation of left ventricular and left atrial volumetric function from native MR multislice 4D flow magnitude data. Eur Radiol 2024; 34:981-993. [PMID: 37580598 PMCID: PMC10853296 DOI: 10.1007/s00330-023-10017-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/08/2023] [Accepted: 06/12/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVES To assess the feasibility, precision, and accuracy of left ventricular (LV) and left atrial (LA) volumetric function evaluation from native magnetic resonance (MR) multislice 4D flow magnitude images. MATERIALS & METHODS In this prospective study, 60 subjects without signs or symptoms of heart failure underwent 3T native cardiac MR multislice 4D flow and bSSFP-cine realtime imaging. LV and LA volumetric function parameters were evaluated from 4D flow magnitude (4D flow-cine) and bSSFP-cine data using standard software to obtain end-diastolic volume (EDV), end-systolic volume (ESV), ejection-fraction (EF), stroke-volume (SV), LV muscle mass (LVM), LA maximum volume, LA minimum volume, and LA total ejection fraction (LATEF). Stroke volumes derived from both imaging methods were further compared to 4D pulmonary artery flow-derived net forward volumes (NFV). Methods were compared by correlation and Bland-Altman analysis. RESULTS Volumetric function parameters from 4D flow-cine and bSSFP-cine showed high to very high correlations (r = 0.83-0.98). SV, LA volumes and LATEF did not differ between methods. LV end-diastolic and end-systolic volumes were slightly underestimated (EDV: -2.9 ± 5.8 mL; ESV: -2.3 ± 3.8 mL), EF was slightly overestimated (EF: 0.9 ± 2.6%), and LV mass was considerably overestimated (LVM: 39.0 ± 11.4 g) by 4D flow-cine imaging. SVs from both methods correlated very highly with NFV (r = 0.91 in both cases) and did not differ from NFV. CONCLUSION Native multislice 4D flow magnitude data allows precise evaluation of LV and LA volumetric parameters; however, apart from SV, LV volumetric parameters demonstrate bias and need to be referred to their respective normal values. CLINICAL RELEVANCE STATEMENT Volumetric function assessment from native multislice 4D flow magnitude images can be performed with routinely used clinical software, facilitating the application of 4D flow as a one-stop-shop functional cardiac MR exam, providing consistent, simultaneously acquired, volume and flow data. KEY POINTS • Native multislice 4D flow imaging allows evaluation of volumetric left ventricular and atrial function parameters. • Left ventricular and left atrial function parameters derived from native multislice 4D flow data correlate highly with corresponding standard cine-derived parameters. • Multislice 4D flow-derived volumetric stroke volume and net forward volume do not differ.
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Affiliation(s)
- Clemens Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Gert Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
- Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria
| | - Corina Kräuter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
| | - Daniel Scherr
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Albrecht Schmidt
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Michael Fuchsjäger
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria
| | - Ursula Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria.
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Gröschel J, Ammann C, Zange L, Viezzer D, Forman C, Schmidt M, Blaszczyk E, Schulz-Menger J. Fast acquisition of left and right ventricular function parameters applying cardiovascular magnetic resonance in clinical routine - validation of a 2-shot compressed sensing cine sequence. SCAND CARDIOVASC J 2022; 56:266-275. [PMID: 35836407 DOI: 10.1080/14017431.2022.2099010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Objectives. To evaluate if cine sequences accelerated by compressed sensing (CS) are feasible in clinical routine and yield equivalent cardiac morphology in less time. Design. We evaluated 155 consecutive patients with various cardiac diseases scanned during our clinical routine. LV and RV short axis (SAX) cine images were acquired by conventional and prototype 2-shot CS sequences on a 1.5 T CMR. The 2-shot prototype captures the entire heart over a period of 3 beats making the acquisition potentially even faster. Both scans were performed with identical slice parameters and positions. We compared LV and RV morphology with Bland-Altmann plots and weighted the results in relation to pre-defined tolerance intervals. Subjective and objective image quality was evaluated using a 4-point score and adapted standardized criteria. Scan times were evaluated for each sequence. Results. In total, no acquisitions were lost due to non-diagnostic image quality in the subjective image score. Objective image quality analysis showed no statistically significant differences. The scan time of the CS cines was significantly shorter (p < .001) with mean scan times of 178 ± 36 s compared to 313 ± 65 s for the conventional cine. All cardiac function parameters showed excellent correlation (r 0.978-0.996). Both sequences were considered equivalent for the assessment of LV and RV morphology. Conclusions. The 2-shot CS SAX cines can be used in clinical routine to acquire cardiac morphology in less time compared to the conventional method, with no total loss of acquisitions due to nondiagnostic quality. TRIAL REGISTRATION ISRCTN12344380. Registered 20 November 2020, retrospectively registered.
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Affiliation(s)
- Jan Gröschel
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Clemens Ammann
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Leonora Zange
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,Department of Cardiology and Nephrology, HELIOS Hospital Berlin-Buch, Berlin, Germany
| | - Darian Viezzer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | | | | | - Edyta Blaszczyk
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrück Center for Molecular Medicine Charité Campus Buch, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.,Department of Cardiology and Nephrology, HELIOS Hospital Berlin-Buch, Berlin, Germany
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Nita N, Kersten J, Pott A, Weber F, Tesfay T, Benea MT, Metze P, Li H, Rottbauer W, Rasche V, Buckert D. Real-Time Spiral CMR Is Superior to Conventional Segmented Cine-Imaging for Left-Ventricular Functional Assessment in Patients with Arrhythmia. J Clin Med 2022; 11:jcm11082088. [PMID: 35456181 PMCID: PMC9025940 DOI: 10.3390/jcm11082088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/29/2022] [Accepted: 04/06/2022] [Indexed: 02/04/2023] Open
Abstract
(1) Background: Segmented Cartesian Cardiovascular magnetic resonance (CMR) often fails to deliver robust assessment of cardiac function in patients with arrhythmia. We aimed to assess the performance of a tiny golden-angle spiral real-time CMR sequence at 1.5 T for left-ventricular (LV) volumetry in patients with irregular heart rhythm; (2) Methods: We validated the real-time sequence against the standard breath-hold segmented Cartesian sequence in 32 patients, of whom 11 presented with arrhythmia. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) were assessed. In arrhythmic patients, real-time and standard Cartesian acquisitions were compared against a reference echocardiographic modality; (3) Results: In patients with sinus rhythm, good agreements and correlations were found between the segmented and real-time methods, with only minor, non-significant underestimation of EDV for the real-time sequence (135.95 ± 30 mL vs. 137.15 ± 31, p = 0.164). In patients with arrhythmia, spiral real-time CMR yielded superior image quality to the conventional segmented imaging, allowing for excellent agreement with the reference echocardiographic volumetry. In contrast, in this cohort, standard Cartesian CMR showed significant underestimation of LV-ESV (106.72 ± 63.51 mL vs. 125.47 ± 72.41 mL, p = 0.026) and overestimation of LVEF (42.96 ± 10.81% vs. 39.02 ± 11.72%, p = 0.039); (4) Conclusions: Real-time spiral CMR improves image quality in arrhythmic patients, allowing reliable assessment of LV volumetry.
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Affiliation(s)
- Nicoleta Nita
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
- Correspondence:
| | - Johannes Kersten
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Alexander Pott
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Fabian Weber
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Temsgen Tesfay
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | | | - Patrick Metze
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Hao Li
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Wolfgang Rottbauer
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Volker Rasche
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
| | - Dominik Buckert
- Department of Internal Medicine II, University Medical Center, 89081 Ulm, Germany; (J.K.); (A.P.); (F.W.); (T.T.); (P.M.); (H.L.); (W.R.); (V.R.); (D.B.)
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Röwer LM, Radke KL, Hußmann J, Malik H, Uelwer T, Voit D, Frahm J, Wittsack HJ, Harmeling S, Pillekamp F, Klee D. Comparison of cardiac volumetry using real-time MRI during free-breathing with standard cine MRI during breath-hold in children. Pediatr Radiol 2022; 52:1462-1475. [PMID: 35353211 PMCID: PMC9271116 DOI: 10.1007/s00247-022-05327-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/13/2022] [Accepted: 02/16/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Cardiac real-time magnetic resonance imaging (RT-MRI) provides high-quality images even during free-breathing. Difficulties in post-processing impede its use in clinical routine. OBJECTIVE To demonstrate the feasibility of quantitative analysis of cardiac free-breathing RT-MRI and to compare image quality and volumetry during free-breathing RT-MRI in pediatric patients to standard breath-hold cine MRI. MATERIALS AND METHODS Pediatric patients (n = 22) received cardiac RT-MRI volumetry during free breathing (1.5 T; short axis; 30 frames per s) in addition to standard breath-hold cine imaging in end-expiration. Real-time images were binned retrospectively based on electrocardiography and respiratory bellows. Image quality and volumetry were compared using the European Cardiovascular Magnetic Resonance registry score, structure visibility rating, linear regression and Bland-Altman analyses. RESULTS Additional time for binning of real-time images was 2 min. For both techniques, image quality was rated good to excellent. RT-MRI was significantly more robust against artifacts (P < 0.01). Linear regression revealed good correlations for the ventricular volumes. Bland-Altman plots showed a good limit of agreement (LoA) for end-diastolic volume (left ventricle [LV]: LoA -0.1 ± 2.7 ml/m2, right ventricle [RV]: LoA -1.9 ± 3.4 ml/m2), end-systolic volume (LV: LoA 0.4 ± 1.9 ml/m2, RV: LoA 0.6 ± 2.0 ml/m2), stroke volume (LV: LoA -0.5 ± 2.3 ml/m2, RV: LoA -2.6 ± 3.3 ml/m2) and ejection fraction (LV: LoA -0.5 ± 1.6%, RV: LoA -2.1 ± 2.8%). CONCLUSION Compared to standard cine MRI with breath hold, RT-MRI during free breathing with retrospective respiratory binning offers good image quality, reduced image artifacts enabling fast quantitative evaluations of ventricular volumes in clinical practice under physiological conditions.
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Affiliation(s)
- Lena Maria Röwer
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Moorenstr. 5, 40225, Dusseldorf, Germany.
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany.
| | - Karl Ludger Radke
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany
| | - Janina Hußmann
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Moorenstr. 5, 40225, Dusseldorf, Germany
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany
| | - Halima Malik
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Moorenstr. 5, 40225, Dusseldorf, Germany
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany
| | - Tobias Uelwer
- Department of Computer Science, Heinrich Heine University, Dusseldorf, Germany
| | - Dirk Voit
- Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), Göttingen, Germany
| | - Jens Frahm
- Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), Göttingen, Germany
| | - Hans-Joerg Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany
| | - Stefan Harmeling
- Department of Computer Science, Heinrich Heine University, Dusseldorf, Germany
| | - Frank Pillekamp
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Moorenstr. 5, 40225, Dusseldorf, Germany
| | - Dirk Klee
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University, Dusseldorf, Germany
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Reiter C, Reiter U, Kräuter C, Nizhnikava V, Greiser A, Scherr D, Schmidt A, Fuchsjäger M, Reiter G. Differences in left ventricular and left atrial function assessed during breath-holding and breathing. Eur J Radiol 2021; 141:109756. [PMID: 34023727 DOI: 10.1016/j.ejrad.2021.109756] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/07/2021] [Accepted: 05/01/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE To analyze differences in systolic and diastolic left ventricular (LV) as well as left atrial (LA) function parameters obtained from identical cardiac magnetic resonance (MR) imaging techniques during inspiratory breath-holding and breathing (breath-hold to breathing differences). METHOD 56 subjects without signs of heart failure (23/33 male/female, age 58 ± 14 years) underwent 3 T MR cine real-time and transmitral phase contrast imaging with the same spatial and temporal resolution during inspiratory breath-holding and free breathing. LV and LA volumetric function parameters were derived from segmentation of cine series, transmitral peak velocities and early-diastolic myocardial peak velocity from phase contrast series. Corresponding breath-hold and breathing parameters were compared by Bland-Altman analysis; repeatability of breath-hold and breathing measurements was quantified by variance component analysis. p < 0.05 was regarded as statistically significant. RESULTS Mean differences between results obtained during inspiratory breath-holding vs. breathing were significant for LV volumetric function (end-diastolic volume=-7 mL, p = 0.002; end-systolic volume=-7 mL, p < 0.001; ejection fraction = 3 %, p < 0.001; peak ejection rate = 22 mL/s, p = 0.002; early-diastolic peak filling rate=-34 mL/s, p = 0.025), LA volumetric function (maximum volume=-6 mL, p < 0.001; total ejection fraction=-4%, p < 0.001; active ejection fraction=-2%, p = 0.013; before contraction ejection fraction=-4%, p < 0.001) and early-diastolic velocities (transmitral=-6 cm/s, p < 0.001; tissue velocity=-1.8 cm/s, p < 0.001). Standard deviations of breath-hold-to-breathing differences exceeded the corresponding repeatabilities of breath-hold and breathing measurements. CONCLUSIONS Systolic and diastolic LV and LA function parameters acquired during inspiratory breath-holding and breathing differ, and large inter-individual breath-hold-to-breathing variations are possible. Thus, the breathing state should be taken into account, especially when comparing results in patient follow-up acquired in different respiratory states.
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Affiliation(s)
- Clemens Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria; Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Austria.
| | - Ursula Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria.
| | - Corina Kräuter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria; Institute of Medical Engineering, Graz University of Technology, Austria.
| | - Volha Nizhnikava
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria.
| | - Andreas Greiser
- Research and Development, Siemens Healthcare GmbH, Erlangen, Germany.
| | - Daniel Scherr
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Austria.
| | - Albrecht Schmidt
- Division of Cardiology, Department of Internal Medicine, Medical University of Graz, Austria.
| | - Michael Fuchsjäger
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria.
| | - Gert Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Austria; Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria.
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Ghodrati V, Bydder M, Ali F, Gao C, Prosper A, Nguyen KL, Hu P. Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning. NMR IN BIOMEDICINE 2021; 34:e4433. [PMID: 33258197 PMCID: PMC10193526 DOI: 10.1002/nbm.4433] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 09/18/2020] [Accepted: 10/02/2020] [Indexed: 05/20/2023]
Abstract
The aim of this study was to develop a deep neural network for respiratory motion compensation in free-breathing cine MRI and evaluate its performance. An adversarial autoencoder network was trained using unpaired training data from healthy volunteers and patients who underwent clinically indicated cardiac MRI examinations. A U-net structure was used for the encoder and decoder parts of the network and the code space was regularized by an adversarial objective. The autoencoder learns the identity map for the free-breathing motion-corrupted images and preserves the structural content of the images, while the discriminator, which interacts with the output of the encoder, forces the encoder to remove motion artifacts. The network was first evaluated based on data that were artificially corrupted with simulated rigid motion with regard to motion-correction accuracy and the presence of any artificially created structures. Subsequently, to demonstrate the feasibility of the proposed approach in vivo, our network was trained on respiratory motion-corrupted images in an unpaired manner and was tested on volunteer and patient data. In the simulation study, mean structural similarity index scores for the synthesized motion-corrupted images and motion-corrected images were 0.76 and 0.93 (out of 1), respectively. The proposed method increased the Tenengrad focus measure of the motion-corrupted images by 12% in the simulation study and by 7% in the in vivo study. The average overall subjective image quality scores for the motion-corrupted images, motion-corrected images and breath-held images were 2.5, 3.5 and 4.1 (out of 5.0), respectively. Nonparametric-paired comparisons showed that there was significant difference between the image quality scores of the motion-corrupted and breath-held images (P < .05); however, after correction there was no significant difference between the image quality scores of the motion-corrected and breath-held images. This feasibility study demonstrates the potential of an adversarial autoencoder network for correcting respiratory motion-related image artifacts without requiring paired data.
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Affiliation(s)
- Vahid Ghodrati
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, CA, USA
| | - Mark Bydder
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Fadil Ali
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, CA, USA
| | - Chang Gao
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, CA, USA
| | - Ashley Prosper
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Kim-Lien Nguyen
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Peng Hu
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Biomedical Physics Inter-Departmental Graduate Program, University of California, Los Angeles, CA, USA
- Correspondence to: Peng Hu, PhD, Department of Radiological Sciences, 300 UCLA Medical Plaza Suite B119, Los Angeles, CA 90095,
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Jo Y, Kim J, Park CH, Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, Kim EY, Park EA, Kim PK, Yong HS. Guideline for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging-Part 1: Standardized Protocol. Korean J Radiol 2020; 20:1313-1333. [PMID: 31464111 PMCID: PMC6715561 DOI: 10.3348/kjr.2019.0398] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 08/12/2019] [Indexed: 12/21/2022] Open
Abstract
Cardiac magnetic resonance (CMR) imaging is widely used in many areas of cardiovascular disease assessment. This is a practical, standard CMR protocol for beginners that is designed to be easy to follow and implement. This protocol guideline is based on previously reported CMR guidelines and includes sequence terminology used by vendors, essential MR physics, imaging planes, field strength considerations, MRI-conditional devices, drugs for stress tests, various CMR modules, and disease/symptom-based protocols based on a survey of cardiologists and various appropriate-use criteria. It will be of considerable help in planning and implementing tests. In addressing CMR usage and creating this protocol guideline, we particularly tried to include useful tips to overcome various practical issues and improve CMR imaging. We hope that this document will continue to standardize and simplify a patient-based approach to clinical CMR and contribute to the promotion of public health.
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Affiliation(s)
- Yeseul Jo
- Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea
| | - JeongJae Kim
- Department of Radiology, Jeju National University Hospital, Jeju, Korea
| | - Chul Hwan Park
- Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Jae Wook Lee
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Jee Hye Hur
- Department of Radiology, Hanil General Hospital, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Bae Young Lee
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dong Jin Im
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Su Jin Hong
- Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Eun Young Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Eun Ah Park
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Pan Ki Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hwan Seok Yong
- Department of Radiology, Korea University Guro Hospital, Seoul, Korea.
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Lee JW, Hur JH, Yang DH, Lee BY, Im DJ, Hong SJ, Kim EY, Park EA, Jo Y, Kim J, Park CH, Yong HS. Guidelines for Cardiovascular Magnetic Resonance Imaging from the Korean Society of Cardiovascular Imaging-Part 2: Interpretation of Cine, Flow, and Angiography Data. Korean J Radiol 2020; 20:1477-1490. [PMID: 31606953 PMCID: PMC6791819 DOI: 10.3348/kjr.2019.0407] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 07/19/2019] [Indexed: 11/15/2022] Open
Abstract
Cardiovascular magnetic resonance imaging (CMR) is expected to be increasingly used in Korea due to technological advances and the expanded national insurance coverage of CMR assessments. For improved patient care, proper acquisition of CMR images as well as their accurate interpretation by well-trained personnel are equally important. In response to the increased demand for CMR, the Korean Society of Cardiovascular Imaging (KOSCI) has issued interpretation guidelines in conjunction with the Korean Society of Radiology. KOSCI has also created a formal Committee on CMR guidelines to create updated practices. The members of this committee review previously published interpretation guidelines and discuss the patterns of CMR use in Korea.
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Affiliation(s)
- Jae Wook Lee
- Department of Radiology, Soonchunhyang University Hospital Bucheon, Bucheon, Korea
| | - Jee Hye Hur
- Department of Radiology, Hanil General Hospital, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
| | - Bae Young Lee
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
| | - Dong Jin Im
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Su Jin Hong
- Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Eun Young Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Eun Ah Park
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Yeseul Jo
- Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea
| | - JeongJae Kim
- Department of Radiology, Jeju National University Hospital, Jeju, Korea
| | - Chul Hwan Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hwan Seok Yong
- Department of Radiology, Korea University Guro Hospital, Seoul, Korea
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Choe YH. Characteristics of Recent Articles Published in the Korean Journal of Radiology Based on the Citation Frequency. Korean J Radiol 2020; 21:1284. [PMID: 33236548 PMCID: PMC7689137 DOI: 10.3348/kjr.2020.1322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 11/05/2020] [Accepted: 11/05/2020] [Indexed: 11/24/2022] Open
Affiliation(s)
- Yeon Hyeon Choe
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- HVSI Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Abou Zahr R, Gooty V, Tandon A, Greil G, Pirolli T, Davies R, Jaquiss R, Ramaciotti C, Hussain T. Feasibility of real-time cine cardiac magnetic resonance imaging to predict the presence of significant retrosternal adhesions prior to redo-sternotomy. J Cardiovasc Magn Reson 2019; 21:67. [PMID: 31672164 PMCID: PMC6824134 DOI: 10.1186/s12968-019-0576-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 09/21/2019] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Injury to vital structures posterior to the sternum is a complication associated with redo sternotomy in congenital cardiac surgery. The goal of our study was a novel evaluation of real-time cine cardiovascular magnetic resonance (CMR) to predict the presence of significant retrosternal adhesions of cardiac and vascular structures prior to redo sternotomy in patients with congenital heart disease. METHODS Twenty-three patients who had prior congenital heart surgery via median sternotomy had comprehensive CMR studies prior to redo sternotomy. The real time cine (RTC) sequence that was used is an ungated balanced steady-state free precession (bSSFP) sequence using SENSitivity Encoding for acceleration with real-time reconstruction. Spontaneously breathing patients were instructed to take deep breaths during the acquisition whilst increased tidal volumes were delivered to mechanically ventilated patients. All patients underwent redo cardiac surgery subsequently and the presence and severity of retrosternal adhesions were noted at the time of the redo sternotomies. RESULTS Median age at the time of CMR and operation were 5.5 years (range, 0.2-18.4y) and 6.1 years (range, 0.3-18.8y) respectively. There were 15 males and 8 females in the study group. Preoperative retrosternal adhesions were identified on RTC in 13 patients and confirmed in 11 (85%) at the time of surgery. In only 2 patients, no adhesions were identified on CMR but were found to have significant retrosternal adhesions at surgery; false positive rate 15% (CI 0.4-29.6%), false negative rate 20% (CI 3.7-36.4%). The total classification error of the real time cine sequence was 17% (CI 1.7-32.4%) with an overall accuracy of 83% (CI 67.7-98.4%). Standard breath-hold cine images correlated poorly with surgical findings and did not increase the diagnostic yield. CONCLUSIONS RTC imaging can predict the presence of significant retrosternal adhesions and thus help in risk assessment prior to redo sternotomy. These findings complement the surgical planning and potentially reduce surgical complications .
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Affiliation(s)
- Riad Abou Zahr
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| | - Vasu Gooty
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| | - Animesh Tandon
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| | - Gerald Greil
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| | - Timothy Pirolli
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, USA
| | - Ryan Davies
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, USA
| | - Robert Jaquiss
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, USA
| | - Claudio Ramaciotti
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| | - Tarique Hussain
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
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