Pixel-wise assessment of cardiovascular magnetic resonance first-pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients.
Pixel-wise assessment of cardiovascular magnetic resonance first-pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients.
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DOI：
10.1002/mrm.28296
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发表时间：
2020-11
影响因子：
3.3
通讯作者：
Chiribiri A
中科院分区：
文献类型：
--
作者：
Milidonis X;Nazir MS;Schneider T;Capstick M;Drost S;Kok G;Pelevic N;Poelma C;Schaeffter T;Chiribiri A
心血管磁共振首过灌注用于冠状动脉疾病的逐像素检测正在迅速成为临床标准，但还没有广泛可用的方法来评估和验证。本研究介绍了一种新的体模，能够产生空间相关的流量值，使新的灌注成像方法在像素水平的评估。采用高精度3D打印技术设计并制造了一种模拟透壁心肌灌注梯度的合成多毛细血管心肌体模。该体模用于提供参考心肌灌注率的固定流设置中，并在3 T系统上扫描。使用临床双序列技术对1 - 4 mL/g/min的生理灌注率进行重复首过灌注MRI。费米函数约束反卷积被用来估计逐像素灌注率图。相位对比（PC）-MRI用于获得速度测量值，并将其转换为灌注率，以验证参考值和交叉方法比较。根据模拟参考地图评估像素地图的准确性。PC-MRI显示灌注率（变异系数[CoV] 2.4-3.5%）具有良好的重现性，并且在整个生理范围内与参考值（R2 = 0.985）相关。首过灌注MRI的结果相似（CoV 3.7- 6.2%，R2 = 0.987）。像素地图显示，PC-MRI的跨壁灌注差异为28.8-33.7%，首过灌注的跨壁灌注差异为23.8-37.7%，与参考值（30.2-31.4%）匹配。体模中独特的透壁灌注模式允许在将其引入常规临床使用之前对首过灌注采集协议和量化算法进行有效的逐像素评估。
Cardiovascular magnetic resonance first-pass perfusion for the pixel-wise detection of coronary artery disease is rapidly becoming the clinical standard, yet no widely available method exists for its assessment and validation. This study introduces a novel phantom capable of generating spatially dependent flow values to enable assessment of new perfusion imaging methods at the pixel level. A synthetic multicapillary myocardial phantom mimicking transmural myocardial perfusion gradients was designed and manufactured with high-precision 3D printing. The phantom was used in a stationary flow setup providing reference myocardial perfusion rates and was scanned on a 3T system. Repeated first-pass perfusion MRI for physiological perfusion rates between 1 and 4 mL/g/min was performed using a clinical dual-sequence technique. Fermi function-constrained deconvolution was used to estimate pixel-wise perfusion rate maps. Phase contrast (PC)-MRI was used to obtain velocity measurements that were converted to perfusion rates for validation of reference values and cross-method comparison. The accuracy of pixel-wise maps was assessed against simulated reference maps. PC-MRI indicated excellent reproducibility in perfusion rate (coefficient of variation [CoV] 2.4-3.5%) and correlation with reference values (R2 = 0.985) across the full physiological range. Similar results were found for first-pass perfusion MRI (CoV 3.7-6.2%, R2 = 0.987). Pixel-wise maps indicated a transmural perfusion difference of 28.8-33.7% for PC-MRI and 23.8-37.7% for first-pass perfusion, matching the reference values (30.2-31.4%). The unique transmural perfusion pattern in the phantom allows effective pixel-wise assessment of first-pass perfusion acquisition protocols and quantification algorithms before their introduction into routine clinical use.
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影响因子：
10.6
作者：
Gabrani-Juma, Hanif;Clarkin, Owen J.;Klein, Ran
通讯作者：
Klein, Ran
影响因子：
14
作者：
Mordini, Federico E.;Haddad, Tariq;Hsu, Li-Yueh;Kellrnan, Peter;Lowrey, Tracy B.;Aletras, Anthony H.;Bandettini, Patricia;Arai, Andrew E.
通讯作者：
Arai, Andrew E.
CMR通过自动像素定量的心肌灌注映射，以检测阻塞性冠状动脉疾病和冠状动脉微血管功能障碍：针对侵入性冠状动脉生理学的验证。
DOI：
10.1016/j.jcmg.2018.12.022
发表时间：
2019-10
期刊：
JACC. Cardiovascular imaging
影响因子：
--
作者：
Kotecha T;Martinez-Naharro A;Boldrini M;Knight D;Hawkins P;Kalra S;Patel D;Coghlan G;Moon J;Plein S;Lockie T;Rakhit R;Patel N;Xue H;Kellman P;Fontana M
通讯作者：
Fontana M
影响因子：
6.4
作者：
Brown, Louise A. E.;Onciul, Sebastian C.;Plein, Sven
通讯作者：
Plein, Sven
影响因子：
3.8
作者：
Driscoll, B.;Keller, H.;Coolens, C.
通讯作者：
Coolens, C.