Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Magn Reson Imaging. 2024 Jan;105:82-91. doi: 10.1016/j.mri.2023.11.003. Epub 2023 Nov 7.
To assess the feasibility of deep learning (DL)-based k-space-to-image reconstruction and super resolution for whole-spine diffusion-weighted imaging (DWI).
This retrospective study included 97 consecutive patients with hematologic and/or oncologic diseases who underwent DL-processed whole-spine MRI from July 2022 to March 2023. For each patient, conventional (CONV) axial single-shot echo-planar DWI (b = 50, 800 s/mm) was performed, followed by DL reconstruction and super resolution processing. The presence of malignant lesions and qualitative (overall image quality and diagnostic confidence) and quantitative (nonuniformity [NU], lesion contrast, signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], and ADC values) parameters were assessed for DL and CONV DWI.
Ultimately, 67 patients (mean age, 63.0 years; 35 females) were analyzed. The proportions of vertebrae with malignant lesions for both protocols were not significantly different (P: [0.55-0.99]). The overall image quality and diagnostic confidence scores were higher for DL DWI (all P ≤ 0.002) than CONV DWI. The NU, lesion contrast, SNR, and CNR of each vertebral segment (P ≤ 0.04) but not the NU of the sacral segment (P = 0.51) showed significant differences between protocols. For DL DWI, the NU was lower, and lesion contrast, SNR, and CNR were higher than those of CONV DWI (median values of all segments; 19.8 vs. 22.2, 5.4 vs. 4.3, 7.3 vs. 5.5, and 0.8 vs. 0.7). Mean ADC values of the lesions did not significantly differ between the protocols (P: [0.16-0.89]).
DL reconstruction can improve the image quality of whole-spine diffusion imaging.
评估基于深度学习（DL）的 k 空间到图像重建和全脊柱弥散加权成像（DWI）超分辨率的可行性。
本回顾性研究纳入了 2022 年 7 月至 2023 年 3 月期间因血液系统或肿瘤性疾病而行全脊柱 MRI 检查的 97 例连续患者。每位患者均进行常规（CONV）轴向单次激发回波平面 DWI（b=50、800 s/mm），随后进行 DL 重建和超分辨率处理。评估 DL 和 CONV DWI 的恶性病变存在情况以及定性（整体图像质量和诊断信心）和定量（不均匀性[NU]、病变对比度、信噪比[SNR]、对比噪声比[CNR]和 ADC 值）参数。
最终，对 67 例患者（平均年龄 63.0 岁，35 例女性）进行了分析。两种方案的椎体恶性病变比例无显著差异（P：[0.55-0.99]）。DL DWI 的整体图像质量和诊断信心评分均高于 CONV DWI（所有 P≤0.002）。每个椎体节段的 NU、病变对比度、SNR 和 CNR（P≤0.04）但骶骨节段的 NU 无显著差异（P=0.51）。对于 DL DWI，NU 更低，病变对比度、SNR 和 CNR 更高（所有节段的中位数；19.8 与 22.2、5.4 与 4.3、7.3 与 5.5、0.8 与 0.7）。病变的平均 ADC 值在两种方案之间无显著差异（P：[0.16-0.89]）。
DL 重建可以改善全脊柱弥散成像的图像质量。
