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使用对比后磁共振指纹成像的合成多对比度晚期钆增强成像。

Synthetic multi-contrast late gadolinium enhancement imaging using post-contrast magnetic resonance fingerprinting.

机构信息

Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

出版信息

NMR Biomed. 2024 Jan;37(1):e5043. doi: 10.1002/nbm.5043. Epub 2023 Sep 23.

Abstract

Late gadolinium enhancement (LGE) MRI is the non-invasive reference standard for identifying myocardial scar and fibrosis but has limitations, including difficulty delineating subendocardial scar and operator dependence on image quality. The purpose of this work is to assess the feasibility of generating multi-contrast synthetic LGE images from post-contrast T and T maps acquired using magnetic resonance fingerprinting (MRF). Fifteen consecutive patients with a history of prior ischemic cardiomyopathy (12 men; mean age 63   13 years) were prospectively scanned at 1.5 T between Oct 2020 and May 2021 using conventional LGE and MRF after injection of gadolinium contrast. Three classes of synthetic LGE images were derived from MRF post-contrast T and T maps: bright-blood phase-sensitive inversion recovery (PSIR), black- and gray-blood T -prepared PSIR (T -PSIR), and a novel "tissue-optimized" image to enhance differentiation among scar, viable myocardium, and blood. Image quality was assessed on a 1-5 Likert scale by two cardiologists, and contrast was quantified as the mean absolute difference (MAD) in pixel intensities between two tissues, with different methods compared using Kruskal-Wallis with Bonferroni post hoc tests. Per-patient and per-segment scar detection rates were evaluated using conventional LGE images as reference. Image quality scores were highest for synthetic PSIR (4.0) and reference images (3.8), followed by synthetic tissue-optimized (3.3), gray-blood T -PSIR (3.0), and black-blood T -PSIR (2.6). Among synthetic images, PSIR yielded the highest myocardium/scar contrast (MAD = 0.42) but the lowest blood/scar contrast (MAD = 0.05), and vice versa for T -PSIR, while tissue-optimized images achieved a balance among all tissues (myocardium/scar MAD = 0.16, blood/scar MAD = 0.26, myocardium/blood MAD = 0.10). Based on reference mid-ventricular LGE scans, 13/15 patients had myocardial scar. The per-patient sensitivity/accuracy for synthetic images were the following: PSIR, 85/87%; black-blood T -PSIR, 62/53%; gray-blood T -PSIR, 100/93%; tissue optimized, 100/93%. Synthetic multi-contrast LGE images can be generated from post-contrast MRF data without additional scan time, with initial feasibility shown in ischemic cardiomyopathy patients.

摘要

晚期钆增强(LGE)MRI 是识别心肌瘢痕和纤维化的非侵入性参考标准,但存在局限性,包括难以描绘心内膜下瘢痕和对图像质量的操作者依赖性。这项工作的目的是评估从使用磁共振指纹图谱(MRF)获得的对比后 T 和 T 图生成多对比度合成 LGE 图像的可行性。2020 年 10 月至 2021 年 5 月,在 1.5T 上连续前瞻性扫描了 15 名有既往缺血性心肌病病史的患者(12 名男性;平均年龄 63 岁 13 岁),在注射钆对比剂后使用常规 LGE 和 MRF 进行扫描。从 MRF 对比后 T 和 T 图中得出了三类合成 LGE 图像:亮血相位敏感反转恢复(PSIR)、黑血和灰血 T 准备 PSIR(T -PSIR),以及一种新的“组织优化”图像,以增强瘢痕、存活心肌和血液之间的区分。两位心脏病专家使用 1-5 级 Likert 量表评估图像质量,并使用 Kruskal-Wallis 检验和 Bonferroni 事后检验比较不同方法,以像素强度的平均绝对差异(MAD)量化对比度。使用常规 LGE 图像作为参考,评估每位患者和每个节段的瘢痕检测率。合成 PSIR(4.0)和参考图像(3.8)的图像质量评分最高,其次是合成组织优化(3.3)、灰血 T -PSIR(3.0)和黑血 T -PSIR(2.6)。在合成图像中,PSIR 产生了最高的心肌/瘢痕对比度(MAD=0.42),但最低的血液/瘢痕对比度(MAD=0.05),而 T -PSIR 则相反,而组织优化图像则在所有组织之间取得了平衡(心肌/瘢痕 MAD=0.16,血液/瘢痕 MAD=0.26,心肌/血液 MAD=0.10)。基于参考的中隔 LGE 扫描,15 名患者中有 13 名患有心肌瘢痕。合成图像的每位患者的敏感性/准确性如下:PSIR,85/87%;黑血 T -PSIR,62/53%;灰血 T -PSIR,100/93%;组织优化,100/93%。无需额外的扫描时间,即可从对比后 MRF 数据生成多对比度合成 LGE 图像,在缺血性心肌病患者中初步证明了其可行性。

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