Yildirim Muhammed, Kovalyk Xenia, Scholtz Patrick, Schütz Markus, Lindemeyer Johannes, Lamerichs Rolf, Grüll Holger, Isik Esin Ozturk
Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey.
Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.
NMR Biomed. 2024 Apr;37(4):e5086. doi: 10.1002/nbm.5086. Epub 2023 Dec 18.
Fluorine MRI is finding wider acceptance in theranostics applications where imaging of F hotspots of fluorinated contrast material is central. The essence of such applications is to capture ghosting-artifact-free images of the inherently low MR response under clinically viable conditions. To serve this purpose, this work introduces the balanced spiral spectroscopic imaging (BaSSI) sequence, which is implemented on a 3.0 T clinical scanner and is capable of generating F hotspot images in an efficient manner. The sequence utilizes an all-phase-encoded pseudo-spiral k-space trajectory, enabling the acquisition of broadband (80 ppm) fluorine spectra free from chemical shift ghosting. BaSSI can acquire a 64 × 64 image with 1 mm × 1 mm voxels in just 14 s, significantly outperforming typical MRSI sequences used in H or P imaging. The study employed in silico characterization to verify essential design choices such as the excitation pulse, as well as to identify the boundaries of the parameter space explored for optimization. BaSSI's performance was further benchmarked against the 3D ultrashort-echo-time balanced steady-state free precession (3D UTE BSSFP) sequence, a well established method used in F MRI, in vitro. Both sequences underwent extensive optimization through exploration of a wide parameter space on a small phantom containing 10 μL of non-diluted bulk perfluorooctylbromide (PFOB) prior to comparative experiments. Subsequent to optimization, BaSSI and 3D UTE BSSFP were employed to capture images of small non-diluted bulk PFOB samples (0.10 and 0.05 μL), with variations in the number of signal averages, and thus the total scan time, in order to assess the detection sensitivities of the sequences. In these experiments, the detection sensitivity was evaluated using the Rose criterion (R ), which provides a quantitative metric for assessing object visibility. The study further demonstrated BaSSI's utility as a (pre)clinical tool through postmortem imaging of polymer microspheres filled with PFOB in a BALB/c mouse. Anatomic localization of F hotspots was achieved by denoising raw data obtained with BaSSI using a filter based on the Rose criterion. These data were then successfully registered to H anatomical images. BaSSI demonstrated superior detection sensitivity in the benchmarking analysis, achieving R values approximately twice as high as those obtained with the 3D UTE BSSFP method. The technique successfully facilitated imaging and precise localization of F hotspots in postmortem experiments. However, it is important to highlight that imaging 10 mM PFOB in small mice postmortem, utilizing a 48 × 48 × 48 3D scan, demanded a substantial scan time of 1 h and 45 min. Further studies will explore accelerated imaging techniques, such as compressed sensing, to enhance BaSSI's clinical utility.
氟磁共振成像(Fluorine MRI)在治疗诊断学应用中得到了更广泛的认可,其中氟化造影剂的F热点成像至关重要。此类应用的核心是在临床可行的条件下,获取本征低磁共振响应的无重影伪像图像。为实现这一目的,本文介绍了平衡螺旋光谱成像(BaSSI)序列,该序列在3.0 T临床扫描仪上实现,能够高效生成F热点图像。该序列采用全相位编码伪螺旋k空间轨迹,可获取无化学位移重影的宽带(80 ppm)氟谱。BaSSI仅需14秒就能获取64×64图像,体素大小为1 mm×1 mm,显著优于用于氢或磷成像的典型磁共振波谱成像(MRSI)序列。该研究采用计算机模拟表征来验证诸如激发脉冲等关键设计选择,并确定用于优化探索的参数空间边界。在体外,将BaSSI的性能与3D超短回波时间平衡稳态自由进动(3D UTE BSSFP)序列(一种在氟磁共振成像中成熟的方法)进行了进一步对比。在对比实验之前,通过在包含10 μL未稀释全氟辛基溴(PFOB)的小型体模上探索广泛的参数空间,对这两种序列进行了广泛优化。优化后,使用BaSSI和3D UTE BSSFP对小型未稀释PFOB样品(0.10和0.05 μL)进行成像,改变信号平均次数,从而改变总扫描时间,以评估序列的检测灵敏度。在这些实验中,使用罗斯准则(R)评估检测灵敏度,该准则为评估物体可见性提供了定量指标。该研究通过对BALB/c小鼠体内填充PFOB的聚合物微球进行死后成像,进一步证明了BaSSI作为一种(临床前)临床工具的实用性。通过使用基于罗斯准则的滤波器对BaSSI获得的原始数据进行去噪,实现了F热点的解剖定位。然后将这些数据成功配准到氢解剖图像上。在对比分析中,BaSSI表现出卓越的检测灵敏度,其R值约为3D UTE BSSFP方法的两倍。该技术在死后实验中成功实现了F热点的成像和精确定位。然而,需要强调的是,在小型小鼠死后对10 mM PFOB进行成像,采用48×48×48 3D扫描,需要长达1小时45分钟的大量扫描时间。进一步的研究将探索加速成像技术,如压缩感知,以提高BaSSI的临床实用性。