Dual-Pathway sequences for MR thermometry: When and where to use them.

Dual-Pathway sequences for MR thermometry: When and where to use them.
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DOI:
10.1002/mrm.26177
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发表时间:
2017-03
影响因子:
3.3
通讯作者:
Madore, Bruno
Madore, Bruno
中科院分区:
医学3区
文献类型:
--
作者:
Ciris, Pelin Aksit;Cheng, Cheng-Chieh;Mei, Chang-Sheng;Panych, Lawrence P.;Madore, Bruno

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为了提高磁共振测温中的温度噪声比(TNR),提出了双路径序列。目前的工作确定了这些所谓的“PSIF-FISP”序列可能给各种器官和组织带来多大的改善。模拟和TNR计算通过解析方程、幻影、腹部和脑部扫描进行验证。在翻转角(FA) = 1 ~ 85°,TR = 6 ~ 60ms,灰质、白质、子宫颈、子宫内膜、肌层、前列腺、肾髓质和皮质、骨髓、胰腺、脾脏、肌肉和肝脏组织中,计算PSIF-FISP与双fisp参考标准的相对tnr。在大多数测试的TR和FA设置中,PSIF-FISP在肾脏,骨盆,脾脏或灰质中的TNR优于PSIF-FISP,并且在较短的TR中获益增加。PSIF-FISP在其他组织(如肝脏、肌肉、胰腺)的TNR优于其他组织(仅在短TR设置(20ms或更短)时)。PSIF-FISP的TNR效益随着FA的增加而略有增加,而随着TR的降低而显著增加。可实现高达2-3倍的TR降低和20%的TNR增加。在任何给定的组织中,由于松弛率的变化,TNR性能有望随着加热而进一步改善。与标准GRE序列相比,双通路PSIF-FISP可以提高TNR和采集速度,但最佳采集参数取决于组织。
Dual-pathway sequences have been proposed to help improve the temperature-to-noise-ratio (TNR) in MR thermometry. The present work establishes how much of an improvement these so-called ‘PSIF-FISP’ sequences may bring in various organs and tissues. Simulations and TNR calculations were validated against analytical equations, phantom, abdomen and brain scans. Relative TNRs for PSIF-FISP, as compared to a dual-FISP reference standard, were calculated for flip angle (FA) = 1 to 85° and TR = 6 to 60ms, for gray matter, white matter, cervix, endometrium, myometrium, prostate, kidney medulla and cortex, bone marrow, pancreas, spleen, muscle, and liver tissues. PSIF-FISP was TNR superior in the kidney, pelvis, spleen or gray matter at most tested TR and FA settings, and benefits increased at shorter TRs. PSIF-FISP was TNR superior in other tissues, e.g. liver, muscle, pancreas, for only short TR settings (20ms or less). The TNR benefits of PSIF-FISP increased slightly with FA, and strongly with decreasing TR. Up to 2-3 fold reductions in TR with 20% TNR gains were achievable. In any given tissue, TNR performance is expected to further improve with heating, due to changes in relaxation rates. Dual-pathway PSIF-FISP can improve TNR and acquisition speed over standard GRE sequences, but optimal acquisition parameters are tissue dependent.
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