Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations...Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations, validate the resulting plots against available standard methods in patients with myocardial infarction and provide examples that demonstrate the advantage of the novel approach over existing standards. Methods: Co-registered LGE and PET short-axis images were transformed into polar maps based on a radial sampling pattern. LGE was automatically detected using an automated thresholding algorithm (ATA). In 20 PET/MRI examinations in patients with acute myocardial infarction, agreement between manual LGE assessment and the ATA classification was calculated. Also agreement between MRI-segmentation based PET polar plots and standard PET polar plots (created with the Corridor4DM software package) was assessed. Results: No statistically significant difference in infarct sizes between manual and ATA segmentation was found (p = 0.12). Both methods were highly correlated (Pearson’s r = 0.96, p Conclusion: A straightforward software approach for the creation of co-registered PET and MRI polar plots was described and successfully demonstrated in PET/MRI studies of myocardial infarction and inflammation.展开更多
将核磁共振成像(magnetic resonance imaging,MRI)与正电子发射断层成像(positron emission computed tomography,PET)进行融合,可以实现阿尔茨海默病(Alzheimer’s disease,AD)的预防与诊断.提出了基于3D ISobel与双目标海洋捕食者的...将核磁共振成像(magnetic resonance imaging,MRI)与正电子发射断层成像(positron emission computed tomography,PET)进行融合,可以实现阿尔茨海默病(Alzheimer’s disease,AD)的预防与诊断.提出了基于3D ISobel与双目标海洋捕食者的结构张量(ISobel and double-objective marine predator algorithm based on structure tensor,IST)分解算法,提高了分解的可靠性与稳定性,使细节信息充分表达.提出了联合三维拉普拉斯加权能量的迹值相位一致性(joint weight sum of 3d energy and modified laplacian and trace phase congruency,ETPC)的边缘区融合规则,充分描述了融合图像局部区域特征分布.融合结果表明,基于改进结构张量的三维PET/MRI图像融合算法解决了结构张量分解欠缺可靠性、融合图像细节信息不充分、局部特征描述不完善的问题,在主观评价和客观评价方面都要优于其他的空间域和变换域的融合方法.展开更多
目的分析CT与PET/MRI影像组学预测肺腺癌与鳞癌分型的价值,探讨PET/MRI潜在信息的挖掘对肺癌分型的意义。方法回顾性分析经病理确诊的72例肺癌患者病历资料,其中肺腺癌42例,肺鳞状细胞癌30例。应用影像组学软件计算和选择与肺癌分型最...目的分析CT与PET/MRI影像组学预测肺腺癌与鳞癌分型的价值,探讨PET/MRI潜在信息的挖掘对肺癌分型的意义。方法回顾性分析经病理确诊的72例肺癌患者病历资料,其中肺腺癌42例,肺鳞状细胞癌30例。应用影像组学软件计算和选择与肺癌分型最相关的影像组学特征,得到最佳特征,并重建CT及PET/MRI影像预测模型。通过受试者工作特征(receiver operating characteristic curve,ROC)曲线及曲线下面积(area under the curve,AUC)差异评价模型预测能力。结果CT预测模型得到3个最优特征,相应曲线下训练组及测试组的AUC值分别为0.737、0.722;PET/MRI预测模型得到6个最优特征,相应曲线下训练组及测试组的AUC值分别为0.839、0.841。结论CT和PET/MRI模型均能够有效预测肺腺癌及肺鳞癌的病理亚型,且PET/MRI较CT影像组学术前预测肺腺癌与鳞癌的效能更高。展开更多
文摘Background: In the present study, we sought to describe a procedure for the creation of co-registered positron emission tomography (PET) and magnetic resonance imaging (MRI) polar plots of cardiac PET/MRI examinations, validate the resulting plots against available standard methods in patients with myocardial infarction and provide examples that demonstrate the advantage of the novel approach over existing standards. Methods: Co-registered LGE and PET short-axis images were transformed into polar maps based on a radial sampling pattern. LGE was automatically detected using an automated thresholding algorithm (ATA). In 20 PET/MRI examinations in patients with acute myocardial infarction, agreement between manual LGE assessment and the ATA classification was calculated. Also agreement between MRI-segmentation based PET polar plots and standard PET polar plots (created with the Corridor4DM software package) was assessed. Results: No statistically significant difference in infarct sizes between manual and ATA segmentation was found (p = 0.12). Both methods were highly correlated (Pearson’s r = 0.96, p Conclusion: A straightforward software approach for the creation of co-registered PET and MRI polar plots was described and successfully demonstrated in PET/MRI studies of myocardial infarction and inflammation.
文摘将核磁共振成像(magnetic resonance imaging,MRI)与正电子发射断层成像(positron emission computed tomography,PET)进行融合,可以实现阿尔茨海默病(Alzheimer’s disease,AD)的预防与诊断.提出了基于3D ISobel与双目标海洋捕食者的结构张量(ISobel and double-objective marine predator algorithm based on structure tensor,IST)分解算法,提高了分解的可靠性与稳定性,使细节信息充分表达.提出了联合三维拉普拉斯加权能量的迹值相位一致性(joint weight sum of 3d energy and modified laplacian and trace phase congruency,ETPC)的边缘区融合规则,充分描述了融合图像局部区域特征分布.融合结果表明,基于改进结构张量的三维PET/MRI图像融合算法解决了结构张量分解欠缺可靠性、融合图像细节信息不充分、局部特征描述不完善的问题,在主观评价和客观评价方面都要优于其他的空间域和变换域的融合方法.
文摘目的分析CT与PET/MRI影像组学预测肺腺癌与鳞癌分型的价值,探讨PET/MRI潜在信息的挖掘对肺癌分型的意义。方法回顾性分析经病理确诊的72例肺癌患者病历资料,其中肺腺癌42例,肺鳞状细胞癌30例。应用影像组学软件计算和选择与肺癌分型最相关的影像组学特征,得到最佳特征,并重建CT及PET/MRI影像预测模型。通过受试者工作特征(receiver operating characteristic curve,ROC)曲线及曲线下面积(area under the curve,AUC)差异评价模型预测能力。结果CT预测模型得到3个最优特征,相应曲线下训练组及测试组的AUC值分别为0.737、0.722;PET/MRI预测模型得到6个最优特征,相应曲线下训练组及测试组的AUC值分别为0.839、0.841。结论CT和PET/MRI模型均能够有效预测肺腺癌及肺鳞癌的病理亚型,且PET/MRI较CT影像组学术前预测肺腺癌与鳞癌的效能更高。
