目的:确定与标准DWI相比,1.5T下骨盆加速扩散加权成像(DWI)的深度学习(DL)重建对采集时间减少和图像质量的影响。
方法:共有55名患者(平均年龄,61±13年;范围,27-89;20人,35名妇女)连续纳入本次回顾性研究,2022年2月至11月之间的单中心研究。纳入标准是(1)临床指示的1.5T磁共振成像(MRI)中的标准DWI(DWIS)和(2)DL重建的DWI(DWIDL)。所有患者均根据其诊断使用机构的标准MRI方案进行检查,包括具有两个不同b值(0和800s/mm2)的DWI和表观扩散系数(ADC)图的计算。四个放射科医生使用视觉5点Likert量表(5=最佳)对图像质量进行了定性评估,符合以下标准:整体图像质量,噪声级,工件的范围,清晰度,诊断信心。将DWIS和DWIDL的定性分数与Wilcoxon符号秩检验进行比较。
结果:对于b=0s/mm2,b=800s/mm2和所有读者的ADC图,DWIDL的整体图像质量被评估为明显优于DWIS(P<0.05)。对于b=0s/mm2,b=800s/mm2和所有读者的ADC图,与DWIS相比,DWIDL中的噪声程度被评估为显着更低(P<.001)。关于伪影没有发现显著差异,病变可检测性,器官的清晰度,和诊断信心(P>0.05)。DWIS的采集时间为2:06分钟,DWIDL的模拟采集时间为1:12分钟。
结论:DL图像重建提高了图像质量,和模拟结果表明,在1.5T的骨盆扩散加权MRI的采集时间减少是可能的。
To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.
A total of 55 patients (mean age, 61 ± 13 years; range, 27-89; 20 men, 35 women) were consecutively included in this retrospective, monocentric study between February and November 2022. Inclusion criteria were (1) standard DWI (DWIS) in clinically indicated magnetic resonance imaging (MRI) at 1.5 T and (2) DL-reconstructed DWI (DWIDL). All patients were examined using the institution\'s standard MRI protocol according to their diagnosis including DWI with two different b-values (0 and 800 s/mm2) and calculation of apparent diffusion coefficient (ADC) maps. Image quality was qualitatively assessed by four radiologists using a visual 5-point Likert scale (5 = best) for the following criteria: overall image quality, noise level, extent of artifacts, sharpness, and diagnostic confidence. The qualitative scores for DWIS and DWIDL were compared with the Wilcoxon signed-rank test.
The overall image quality was evaluated to be significantly superior in DWIDL compared to DWIS for b = 0 s/mm2, b = 800 s/mm2, and ADC maps by all readers (P < .05). The extent of noise was evaluated to be significantly less in DWIDL compared to DWIS for b = 0 s/mm2, b = 800 s/mm2, and ADC maps by all readers (P < .001). No significant differences were found regarding artifacts, lesion detectability, sharpness of organs, and diagnostic confidence (P > .05). Acquisition time for DWIS was 2:06 minutes, and simulated acquisition time for DWIDL was 1:12 minutes.
DL image reconstruction improves image quality, and simulation results suggest that a reduction in acquisition time for diffusion-weighted MRI of the pelvis at 1.5 T is possible.