基于改进结构张量的三维PET/MRI图像融合

3D PET/MRI image fusion based on improved structure tensor

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.

The fusion of magnetic resonance imaging(MRI)and positron emission computed tomography(PET)can achieve the prevention and diagnosis of Alzheimer's disease(AD).Although the current three-dimensional image fusion algorithm based on structural tensor has good spatial characteristics,it can also represent the structural information of the image.This paper proposes structure tensor based on 3D ISobel and double-objective marine predator algorithm(IST),which improves the reliability and stability of the decomposition and makes the detailed information fully expressed.In this paper,the edge region fusion rule of Joint Weight Sum of 3D Energy And Modified Laplacian And Trace Phase Consistency(ETPC)is proposed,which fully describes the local region feature distribution of the fused image.The 3D PET/MRI image fusion algorithm based on improved structural tensor solves the problems of the lack of reliability of structural tensor decomposition,insufficient detail information of fusion image,and imperfect description of local features,and it is better than other fusion methods of spatial domain and transform domain in terms of subjective evaluation and objective evaluation.