Comparison of cardiac diffusion MRI using multiple prospective respiratory motion correction techniques.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Stephen Jermy, Aaron Hess, Zakariye Ashkir, Betty Raman, Ian Burger, Francesca Little, Ntobeko Ntusi, Ernesta Meintjes, Elizabeth M Tunnicliffe
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引用次数: 0

Abstract

Purpose: A novel prospective motion correction control system with slice tracking (MNav-CoS) was compared with three other prospective respiratory motion correction techniques in performing free-breathing cardiovascular diffusion tensor imaging (cDTI) acquisitions.

Methods: Ten healthy volunteers underwent cDTI using an M2SE sequence. The performance of the proposed MNav-CoS was compared with three respiratory compensation techniques: multiple breath-holds (BH), free breathing with respiratory gating (Gate), and free breathing with single navigator slice tracking (Nav). Data for five diffusion weightings were acquired in a single mid-ventricular slice in end systole. MD, FA, and HA maps were calculated for each technique and combinations of low and high b-values. Data from the respiratory navigators were used to estimate the total amount of cardiac through-plane motion during free breathing.

Results: The metrics derived from the diffusion tensor for MNav-CoS with blow|bhigh = 50|450 s/mm2 were MD: 1 . 48 ± 0.10 μ m ms 2 $$ 1.48\pm 0.10\kern0.3em \upmu \mathrm{m}/{\mathrm{ms}}^2 $$ , FA: 0 . 39 ± 0.07 $$ 0.39\pm 0.07 $$ , and HAg: - 0 . 82 ± 0 . 22 ° % $$ -0.82\pm {0.22}^{{}^{\circ}}/\% $$ . All of the other respiratory compensation techniques produced a similar range of results to the MNav-CoS technique. On average, the free-breathing acquisitions with slice tracking were three times shorter than using BH. The total amount of cardiac through-plane motion during the free-breathing acquisitions ranged from 4 to 10 mm with an average of 6 . 2 ± 1 . 7 mm $$ 6.2\pm 1.7\kern0.3em \mathrm{mm} $$ .

Conclusion: The MNav-CoS technique performed comparably to other commonly used respiratory compensation techniques. Prospective respiratory motion compensation, such as the slice tracking used with MNav-CoS, is a useful tool that offers time-saving benefits and compensates for through-plane motion present during free breathing. These techniques may be beneficial for performing longer cDTI acquisitions providing increased utility in a clinical context.

使用多种前瞻性呼吸运动校正技术的心脏弥散MRI比较。
目的:将一种新型的前瞻性运动校正控制系统(MNav-CoS)与其他三种前瞻性呼吸运动校正技术在自由呼吸心血管弥散张量成像(cDTI)采集中的应用进行比较。方法:10名健康志愿者采用M2SE序列进行cDTI检测。将MNav-CoS的性能与三种呼吸补偿技术进行了比较:多次屏气(BH)、呼吸门控(Gate)自由呼吸和单导航切片跟踪(Nav)自由呼吸。在收缩期末的单个中心室切片中获得5个弥散加权数据。计算了每种技术以及低b值和高b值组合的MD、FA和HA图。来自呼吸导航器的数据用于估计自由呼吸期间心脏穿过平面运动的总量。结果:由吹|bhigh = 50|450 s/mm2的MNav-CoS扩散张量得出的指标为MD: 1。48±0.10 μ m⁄ms 2 $$ 1.48\pm 0.10\kern0.3em \upmu \mathrm{m}/{\mathrm{ms}}^2 $$, FA: 0。39±0.07 $$ 0.39\pm 0.07 $$, HAg: - 0。82±0。22°/ % $$ -0.82\pm {0.22}^{{}^{\circ}}/\% $$ . All of the other respiratory compensation techniques produced a similar range of results to the MNav-CoS technique. On average, the free-breathing acquisitions with slice tracking were three times shorter than using BH. The total amount of cardiac through-plane motion during the free-breathing acquisitions ranged from 4 to 10 mm with an average of 6 . 2 ± 1 . 7 mm $$ 6.2\pm 1.7\kern0.3em \mathrm{mm} $$ .Conclusion: The MNav-CoS technique performed comparably to other commonly used respiratory compensation techniques. Prospective respiratory motion compensation, such as the slice tracking used with MNav-CoS, is a useful tool that offers time-saving benefits and compensates for through-plane motion present during free breathing. These techniques may be beneficial for performing longer cDTI acquisitions providing increased utility in a clinical context.
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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
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