Journal of Cardiovascular Magnetic Resonance | |
3D whole-heart phase sensitive inversion recovery CMR for simultaneous black-blood late gadolinium enhancement and bright-blood coronary CMR angiography | |
Technical Notes | |
Giulia Ginami1  Imran Rashid1  Amedeo Chiribiri1  Tevfik F. Ismail1  Claudia Prieto2  René M. Botnar2  Radhouene Neji3  | |
[1] School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital (Lambeth Wing), Westminster Bridge Rd, SE1 7EH, London, UK;School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital (Lambeth Wing), Westminster Bridge Rd, SE1 7EH, London, UK;Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Vicuna Mackenna, 4860, Santiago, Chile;School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital (Lambeth Wing), Westminster Bridge Rd, SE1 7EH, London, UK;MR Research Collaborations, Siemens Healthcare Limited, Sir William Siemens Square Frimley, GU16 8QD, Camberley, UK; | |
关键词: Whole-heart; Black-blood; Bright-blood; Late gadolinium enhancement (LGE); Coronary MR angiography; | |
DOI : 10.1186/s12968-017-0405-z | |
received in 2017-08-23, accepted in 2017-11-06, 发布年份 2017 | |
来源: Springer | |
【 摘 要 】
BackgroundPhase sensitive inversion recovery (PSIR) applied to late gadolinium enhancement (LGE) imaging is widely used in clinical practice. However, conventional 2D PSIR LGE sequences provide sub-optimal contrast between scar tissue and blood pool, rendering the detection of subendocardial infarcts and scar segmentation challenging. Furthermore, the acquisition of a low flip angle reference image doubles the acquisition time without providing any additional diagnostic information. The purpose of this study was to develop and test a novel 3D whole-heart PSIR-like framework, named BOOST, enabling simultaneous black-blood LGE assessment and bright-blood visualization of cardiac anatomy.MethodsThe proposed approach alternates the acquisition of a 3D volume preceded by a T2-prepared Inversion Recovery (T2Prep-IR) module (magnitude image) with the acquisition of a T2-prepared 3D volume (reference image). The two volumes (T2Prep-IR BOOST and bright-blood T2Prep BOOST) are combined in a PSIR-like reconstruction to obtain a complementary 3D black-blood volume for LGE assessment (PSIR BOOST). The black-blood PSIR BOOST and the bright-blood T2Prep BOOST datasets were compared to conventional clinical sequences for scar detection and coronary CMR angiography (CMRA) in 18 patients with a spectrum of cardiovascular disease (CVD).ResultsDatasets from 12 patients were quantitatively analysed. The black-blood PSIR BOOST dataset provided statistically improved contrast to noise ratio (CNR) between blood and scar when compared to a clinical 2D PSIR sequence (15.8 ± 3.3 and 4.1 ± 5.6, respectively). Overall agreement in LGE depiction was found between 3D black-blood PSIR BOOST and clinical 2D PSIR acquisitions, with 11/12 PSIR BOOST datasets considered diagnostic. The bright-blood T2Prep BOOST dataset provided high quality depiction of the proximal coronary segments, with improvement of visual score when compared to a clinical CMRA sequence. Acquisition time of BOOST (~10 min), providing information on both LGE uptake and heart anatomy, was comparable to that of a clinical single CMRA sequence.ConclusionsThe feasibility of BOOST for simultaneous black-blood LGE assessment and bright-blood coronary angiography was successfully tested in patients with cardiovascular disease. The framework enables free-breathing multi-contrast whole-heart acquisitions with 100% scan efficiency and predictable scan time. Complementary information on 3D LGE and heart anatomy are obtained reducing examination time.
【 授权许可】
CC BY
© The Author(s). 2017
【 预 览 】
Files | Size | Format | View |
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RO202311106920040ZK.pdf | 6037KB | download |
【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]
- [24]
- [25]
- [26]
- [27]
- [28]
- [29]
- [30]
- [31]
- [32]
- [33]
- [34]
- [35]
- [36]
- [37]
- [38]
- [39]
- [40]
- [41]
- [42]
- [43]
- [44]
- [45]
- [46]
- [47]