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Wang F, Zhou J, Pu C, Yu F, Wu Y, Zhang L, Ma S, Hu H. Optimizing Clinical Cardiac MRI Workflow through Single Breath-Hold Compressed Sensing Cine: An Evaluation of Feasibility and Efficiency. J Clin Med 2024; 13:753. [PMID: 38337447 PMCID: PMC10856388 DOI: 10.3390/jcm13030753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 01/11/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Although compressed sensing (CS) accelerated cine holds immense potential to replace conventional cardiovascular magnetic resonance (CMR) cine, how to use CS-based cine appropriately during clinical CMR examinations still needs exploring. METHODS A total of 104 patients (46.5 ± 17.1 years) participated in this prospective study. For each participant, a balanced steady state free precession (bSSFP) cine was acquired as a reference, followed by two CS accelerated cine sequences with identical parameters before and after contrast injection. Lastly, a CS accelerated cine sequence with an increased flip angle was obtained. We subsequently compared scanning time, image quality, and biventricular function parameters between these sequences. RESULTS All CS cine sequences demonstrated significantly shorter acquisition times compared to bSSFPref cine (p < 0.001). The bSSFPref cine showed higher left ventricular ejection fraction (LVEF) than all CS cine sequences (all p < 0.001), but no significant differences in LVEF were observed among the three CS cine sequences. Additionally, CS cine sequences displayed superior global image quality (p < 0.05) and fewer artifacts than bSSFPref cine (p < 0.005). Unenhanced CS cine and enhanced CS cine with increased flip angle showed higher global image quality than other cine sequences (p < 0.005). CONCLUSION Single breath-hold CS cine delivers precise biventricular function parameters and offers a range of benefits including shorter scan time, better global image quality, and diminished motion artifacts. This innovative approach holds great promise in replacing conventional bSSFP cine and optimizing the CMR examination workflow.
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Affiliation(s)
- Fuyan Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Junjie Zhou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
- Department of Radiology, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, 1# Shangcheng Avenuee, Yiwu 322000, China
| | - Cailing Pu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Feidan Yu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Yan Wu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Lingjie Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Siying Ma
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# East Qingchun Road, Hangzhou 310016, China; (F.W.); (J.Z.); (C.P.); (F.Y.); (Y.W.); (L.Z.); (S.M.)
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Longère B, Abassebay N, Gkizas C, Hennicaux J, Simeone A, Rodriguez Musso A, Carpentier P, Coisne A, Pang J, Schmidt M, Toupin S, Montaigne D, Pontana F. A new compressed sensing cine cardiac MRI sequence with free-breathing real-time acquisition and fully automated motion-correction: A comprehensive evaluation. Diagn Interv Imaging 2023; 104:538-546. [PMID: 37328394 DOI: 10.1016/j.diii.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/24/2023] [Accepted: 06/06/2023] [Indexed: 06/18/2023]
Abstract
PURPOSE The purpose of this study was to compare a new free-breathing compressed sensing cine (FB-CS) cardiac magnetic resonance imaging (CMR) to the standard reference multi-breath-hold segmented cine (BH-SEG) CMR in an unselected population. MATERIALS AND METHODS From January to April 2021, 52 consecutive adult patients who underwent both conventional BH-SEG CMR and new FB-CS CMR with fully automated respiratory motion correction were retrospectively enrolled. There were 29 men and 23 women with a mean age of 57.7 ± 18.9 (standard deviation [SD]) years (age range: 19.0-90.0 years) and a mean cardiac rate of 74.6 ± 17.9 (SD) bpm. For each patient, short-axis stacks were acquired with similar parameters providing a spatial resolution of 1.8 × 1.8 × 8.0 mm3 and 25 cardiac frames. Acquisition and reconstruction times, image quality (Likert scale from 1 to 4), left and right ventricular volumes and ejection fractions, left ventricular mass, and global circumferential strain were assessed for each sequence. RESULTS FB-CS CMR acquisition time was significantly shorter (123.8 ± 28.4 [SD] s vs. 267.2 ± 39.3 [SD] s for BH-SEG CMR; P < 0.0001) at the penalty of a longer reconstruction time (271.4 ± 68.7 [SD] s vs. 9.9 ± 2.1 [SD] s for BH-SEG CMR; P < 0.0001). In patients without arrhythmia or dyspnea, FB-CS CMR provided subjective image quality that was not different from that of BH-SEG CMR (P = 0.13). FB-CS CMR improved image quality in patients with arrhythmia (n = 18; P = 0.002) or dyspnea (n = 7; P = 0.02), and the edge sharpness was improved at end-systole and end-diastole (P = 0.0001). No differences were observed between the two techniques in ventricular volumes and ejection fractions, left ventricular mass or global circumferential strain in patients in sinus rhythm or with cardiac arrhythmia. CONCLUSION This new FB-CS CMR addresses respiratory motion and arrhythmia-related artifacts without compromising the reliability of ventricular functional assessment.
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Affiliation(s)
- Benjamin Longère
- Univ. Lille, U1011-European Genomic Institute for Diabetes (EGID), 59000 Lille, France; Inserm, U1011, 59000 Lille, France; CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France; Institut Pasteur Lille, 59000 Lille, France.
| | - Neelem Abassebay
- CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France
| | - Christos Gkizas
- CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France
| | - Justin Hennicaux
- CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France
| | - Arianna Simeone
- CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France
| | | | - Paul Carpentier
- CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France
| | - Augustin Coisne
- Univ. Lille, U1011-European Genomic Institute for Diabetes (EGID), 59000 Lille, France; Inserm, U1011, 59000 Lille, France; CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France; Institut Pasteur Lille, 59000 Lille, France
| | - Jianing Pang
- MR R&D, Siemens Medical Solutions USA Inc., Chicago, IL 60611, USA
| | - Michaela Schmidt
- MR Product Innovation and Definition, Healthcare Sector, Siemens GmbH, 91052 Erlangen, Germany
| | - Solenn Toupin
- Scientific Partnerships, Siemens Healthcare France, 93200 Saint-Denis, France
| | - David Montaigne
- Univ. Lille, U1011-European Genomic Institute for Diabetes (EGID), 59000 Lille, France; Inserm, U1011, 59000 Lille, France; CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France; Institut Pasteur Lille, 59000 Lille, France
| | - François Pontana
- Univ. Lille, U1011-European Genomic Institute for Diabetes (EGID), 59000 Lille, France; Inserm, U1011, 59000 Lille, France; CHU Lille, Department of Cardiovascular Radiology, 59000 Lille, France; Institut Pasteur Lille, 59000 Lille, France
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Sridi S, Nuñez-Garcia M, Sermesant M, Maillot A, Hamrani DE, Magat J, Naulin J, Laurent F, Montaudon M, Jaïs P, Stuber M, Cochet H, Bustin A. Improved myocardial scar visualization with fast free-breathing motion-compensated black-blood T 1-rho-prepared late gadolinium enhancement MRI. Diagn Interv Imaging 2022; 103:607-617. [PMID: 35961843 DOI: 10.1016/j.diii.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE Clinical guidelines recommend the use of bright-blood late gadolinium enhancement (BR-LGE) for the detection and quantification of regional myocardial fibrosis and scar. This technique, however, may suffer from poor contrast at the blood-scar interface, particularly in patients with subendocardial myocardial infarction. The purpose of this study was to assess the clinical performance of a two-dimensional black-blood LGE (BL-LGE) sequence, which combines free-breathing T1-rho-prepared single-shot acquisitions with an advanced non-rigid motion-compensated patch-based reconstruction. MATERIALS AND METHODS Extended phase graph simulations and phantom experiments were performed to investigate the performance of the motion-correction algorithm and to assess the black-blood properties of the proposed sequence. Fifty-one patients (37 men, 14 women; mean age, 55 ± 15 [SD] years; age range: 19-81 years) with known or suspected cardiac disease prospectively underwent free-breathing T1-rho-prepared BL-LGE imaging with inline non-rigid motion-compensated patch-based reconstruction at 1.5T. Conventional breath-held BR-LGE images were acquired for comparison purposes. Acquisition times were recorded. Two readers graded the image quality and relative contrasts were calculated. Presence, location, and extent of LGE were evaluated. RESULTS BL-LGE images were acquired with full ventricular coverage in 115 ± 25 (SD) sec (range: 64-160 sec). Image quality was significantly higher on free-breathing BL-LGE imaging than on its breath-held BR-LGE counterpart (3.6 ± 0.7 [SD] [range: 2-4] vs. 3.9 ± 0.2 [SD] [range: 3-4]) (P <0.01) and was graded as diagnostic for 44/51 (86%) patients. The mean scar-to-myocardium and scar-to-blood relative contrasts were significantly higher on BL-LGE images (P < 0.01 for both). The extent of LGE was larger on BL-LGE (median, 5 segments [IQR: 2, 7 segments] vs. median, 4 segments [IQR: 1, 6 segments]) (P < 0.01), the method being particularly sensitive in segments with LGE involving the subendocardium or papillary muscles. In eight patients (16%), BL-LGE could ascertain or rule out a diagnosis otherwise inconclusive on BR-LGE. CONCLUSION Free-breathing T1-rho-prepared BL-LGE imaging with inline motion compensated reconstruction offers a promising diagnostic technology for the non-invasive assessment of myocardial injuries.
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Affiliation(s)
- Soumaya Sridi
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France.
| | - Marta Nuñez-Garcia
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Maxime Sermesant
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; INRIA, Université Côte d'Azur, Sophia Antipolis, 06902, Valbonne, France
| | - Aurélien Maillot
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Dounia El Hamrani
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Julie Magat
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Jérôme Naulin
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - François Laurent
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Michel Montaudon
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France
| | - Pierre Jaïs
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Cardiac Electrophysiologhy, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, 33600, Pessac, France
| | - Matthias Stuber
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland; Center for Biomedical Imaging (CIBM), 1015, Lausanne, Switzerland
| | - Hubert Cochet
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France
| | - Aurélien Bustin
- Department of Cardiovascular Imaging, Groupe Hospitalier Sud, CHU Bordeaux, 33000, Pessac, France; IHU LIRYC, Electrophysiology and Heart Modeling Institute, Université de Bordeaux, INSERM U1045, 33600, Pessac, France; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland
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60-S Retrogated Compressed Sensing 2D Cine of the Heart: Sharper Borders and Accurate Quantification. J Clin Med 2021; 10:jcm10112417. [PMID: 34072464 PMCID: PMC8199407 DOI: 10.3390/jcm10112417] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 12/28/2022] Open
Abstract
Background and objective: Real-time compressed sensing cine (CSrt) provides reliable quantification for both ventricles but may alter image quality. The aim of this study was to assess image quality and the accuracy of left (LV) and right ventricular (RV) volumes, ejection fraction and mass quantifications based on a retrogated segmented compressed sensing 2D cine sequence (CSrg). Methods: Thirty patients were enrolled. Each patient underwent the reference retrogated segmented steady-state free precession cine sequence (SSFPref), the real-time CSrt cine and the segmented retrogated prototype CSrg sequence providing the same slices. Functional parameters quantification and image quality rating were performed on SSFPref and CSrg images sets. The edge sharpness, which is an estimate of the edge spread function, was assessed for the three sequences. Results: The mean scan time was: SSFPref = 485.4 ± 83.3 (SD) s (95% CI: 454.3–516.5) and CSrg = 58.3 ± 15.1 (SD) s (95% CI: 53.7–64.2) (p < 0.0001). CSrg subjective image quality score (median: 4; range: 2–4) was higher than the one provided by CSrt (median: 3; range: 2–4; p = 0.0008) and not different from SSFPref overall quality score (median: 4; range: 2–4; p = 0.31). CSrg provided similar LV and RV functional parameters to those assessed with SSFPref (p > 0.05). Edge sharpness was significantly better with CSrg (0.083 ± 0.013 (SD) pixel−1; 95% CI: 0.078–0.087) than with CSrt (0.070 ± 0.011 (SD) pixel−1; 95% CI: 0.066–0.074; p = 0.0004) and not different from the reference technique (0.075 ± 0.016 (SD) pixel−1; 95% CI: 0.069–0.081; p = 0.0516). Conclusions: CSrg cine provides in one minute an accurate quantification of LV and RV functional parameters without compromising subjective and objective image quality.
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Right Ventricular Volume and Function Assessment in Congenital Heart Disease Using CMR Compressed-Sensing Real-Time Cine Imaging. J Clin Med 2021; 10:jcm10091930. [PMID: 33947025 PMCID: PMC8125206 DOI: 10.3390/jcm10091930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/16/2021] [Accepted: 04/20/2021] [Indexed: 11/18/2022] Open
Abstract
Background and objective: To evaluate the reliability of compressed-sensing (CS) real-time single-breath-hold cine imaging for quantification of right ventricular (RV) function and volumes in congenital heart disease (CHD) patients in comparison with the standard multi-breath-hold technique. Methods: Sixty-one consecutive CHD patients (mean age = 22.2 ± 9.0 (SD) years) were prospectively evaluated during either the initial work-up or after repair. For each patient, two series of cine images were acquired: first, the reference segmented multi-breath-hold steady-state free-precession sequence (SSFPref), including a short-axis stack, one four-chamber slice, and one long-axis slice; then, an additional real-time compressed-sensing single-breath-hold sequence (CSrt) providing the same slices. Two radiologists independently assessed the image quality and RV volumes for both techniques, which were compared using the Wilcoxon test and paired Student’s t test, Bland–Altman, and linear regression analyses. The visualization of wall-motion disorders and tricuspid-regurgitation-related signal voids were also analyzed. Results: The mean acquisition time for CSrt was 22.4 ± 6.2 (SD) s (95% CI: 20.8–23.9 s) versus 442.2 ± 89.9 (SD) s (95% CI: 419.2–465.2 s) for SSFPref (p < 0.001). The image quality of CSrt was diagnostic in all examinations and was mostly rated as good (n = 49/61; 80.3%). There was a high correlation between SSFPref and CSrt images regarding RV ejection fraction (49.8 ± 7.8 (SD)% (95% CI: 47.8–51.8%) versus 48.7 ± 8.6 (SD)% (95% CI: 46.5–50.9%), respectively; r = 0.94) and RV end-diastolic volume (192.9 ± 60.1 (SD) mL (95% CI: 177.5–208.3 mL) versus 194.9 ± 62.1 (SD) mL (95% CI: 179.0–210.8 mL), respectively; r = 0.98). In CSrt images, tricuspid-regurgitation and wall-motion disorder visualization was good (area under receiver operating characteristic curve (AUC) = 0.87) and excellent (AUC = 1), respectively. Conclusions: Compressed-sensing real-time cine imaging enables, in one breath hold, an accurate assessment of RV function and volumes in CHD patients in comparison with standard SSFPref, allowing a substantial improvement in time efficiency.
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