用压缩感知重建提升乳腺癌钠含量测量精度，减少局部体积效应干扰
Improved tissue sodium concentration quantification in breast cancer by reducing partial volume effects: a preliminary study
- 采用四种压缩感知算法重构钠MRI图像，抑制局部体积效应
- 自适应融合方法（ADC）测得肿瘤钠浓度达88.0 mmol/L，显著高于其他方法
- 结果受重建算法影响大，提示需谨慎选择参数以保证定量准确性
在钠-23磁共振成像中，局部体积效应是组织钠浓度（TSC）体内定量的主要误差来源。本研究评估基于压缩感知的图像重建方法对改善乳腺癌患者钠信号质量和TSC测量精度的可行性。15名受试者（3名健康女性和12名乳腺癌患者）在7T MRI扫描仪上进行23Na-MRI扫描，使用加权总变差（wTV）、方向总变差（dTV）、解剖引导总变差（AG-TV）及自适应融合（ADC）方法重建图像。通过Dice系数评估肿瘤区域分割一致性，计算不同重建方法下的TSC值。结果显示，所有方法均较好保留了钠信号与组织结构；wTV、dTV、AG-TV的平均Dice评分分别为65%、72%、75%；各方法测得肿瘤平均TSC分别为61.0、72.0、73.0和88.0 mmol/L。wTV与dTV呈强负相关（r = -0.78, p = 0.0076），dTV与AG-TV呈强正相关（r = 0.71, p = 0.0207）。表明重建方法及其参数差异会影响肿瘤形态呈现与TSC估计，主要源于其对局部体积效应的抑制能力不同。
原文摘要 · Abstract (English)
Introduction: In sodium (23Na) magnetic resonance imaging (MRI), partial volume effects (PVE) are one of the most common causes of errors in the in vivo quantification of tissue sodium concentration (TSC). Advanced image reconstruction algorithms, such as compressed sensing (CS), have the potential to reduce PVE. Therefore, we investigated the feasibility of using CS-based methods to improve image quality and TSC quantification accuracy in patients with breast cancer. Subjects and methods: In this study, three healthy participants and 12 female participants with breast cancer were examined on a 7T MRI scanner. 23Na-MRI images were reconstructed using weighted total variation (wTV), directional total variation (dTV), anatomically guided total variation (AG-TV) and adaptive combine (ADC) methods. The consistency of tumor volume delineations based on sodium data was assessed using the Dice score, and TSC quantification was performed for various image reconstruction methods. Pearsons correlation coefficients were calculated to assess the relationships between wTV, dTV, AG-TV, and ADC values. Results: All methods provided breast MRI images with well-preserved sodium signal and tissue structures. The mean Dice scores for wTV, dTV, and AG-TV were 65%, 72%, and 75%, respectively. Average TSC values in breast tumors were 61.0, 72.0, 73.0, and 88.0 mmol/L for wTV, dTV, AG-TV, and ADC, respectively. A strong negative correlation was observed between wTV and dTV (r = -0.78, 95% CI [-0.94, -0.31], p = 0.0076) and a strong positive correlation between dTV and AG-TV (r = 0.71, 95% CI [0.16, 0.92], p = 0.0207) was found. Conclusion: The results of this study showed that differences in tumor appearance and TSC estimations may depend on the type of image reconstruction and the parameters used. This is most likely due to differences in their ability to reduce PVE.
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