The diagnostic potential of brain positron emission tomography （PET） imaging is limited by low spatial resolution. For solving this problem we propose a technique for the fusion of PET and MRI images. This fusion is...The diagnostic potential of brain positron emission tomography （PET） imaging is limited by low spatial resolution. For solving this problem we propose a technique for the fusion of PET and MRI images. This fusion is a trade-off between the spectral information extracted from PET images and the spatial information extracted from high spatial resolution MRI. The proposed method can control this trade-off. To achieve this goal, it is necessary to build a multiscale fusion model, based on the retinal cell photoreceptors model. This paper introduces general prospects of this model, and its application in multispectral medical image fusion. Results showed that the proposed method preserves more spectral features with less spatial distortion. Comparing with hue-intensity-saturation （HIS）, discrete wavelet transform （DWT）, wavelet-based sharpening and wavelet-a trous transform methods, the best spectral and spatial quality is only achieved simultaneously with the proposed feature-based data fusion method. This method does not require resampling images, which is an advantage over the other methods, and can perform in any aspect ratio between the pixels of MRI and PET images.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
Regenerative medicine has become a new therapeutic approach in which stem cells or genetically reprogrammed cells are delivered to diseased areas in the body with the intention that such multipotent cells will differe...Regenerative medicine has become a new therapeutic approach in which stem cells or genetically reprogrammed cells are delivered to diseased areas in the body with the intention that such multipotent cells will differentiate into healthy tissue and exchange damaged tissue. The success of such cell-based therapeutic approaches depends on precise dosing and delivery of the cells to the desired site in the human body. To determine the accuracy and efficacy of the therapy, tracking of the engrafted cells in an intact living organism is crucial. There is a great need for sensitive, noninvasive imaging methods, which would allow clinicians to monitor viability, migration dynamics, differentiation towards specific cell type, regeneration potential and integration of transplanted cells with host tissues for an optimal time period. Various in vivo tracking methods are currently used including: MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), SPECT (Single Photon Emission Computer Tomography), optical imaging (OI), photoacoustic imaging (PAI) and ultrasound (US). In order to carry out the detection with each of the aforementioned techniques, the cells must be labeled either exogenously (ex vivo) or endogenously (in vivo). For tracking the administrated cells, scientists usually manipulate cells outside the living organism by incorporating imaging contrast agents (CAs) or reporter genes. Strategies for stem cell labeling using CAs will be reviewed in the light of various imaging techniques.展开更多
基金Project (No. TMU 85-05-33) supported in part by the Iran Telecommunication Research Center (ITRC)
文摘The diagnostic potential of brain positron emission tomography （PET） imaging is limited by low spatial resolution. For solving this problem we propose a technique for the fusion of PET and MRI images. This fusion is a trade-off between the spectral information extracted from PET images and the spatial information extracted from high spatial resolution MRI. The proposed method can control this trade-off. To achieve this goal, it is necessary to build a multiscale fusion model, based on the retinal cell photoreceptors model. This paper introduces general prospects of this model, and its application in multispectral medical image fusion. Results showed that the proposed method preserves more spectral features with less spatial distortion. Comparing with hue-intensity-saturation （HIS）, discrete wavelet transform （DWT）, wavelet-based sharpening and wavelet-a trous transform methods, the best spectral and spatial quality is only achieved simultaneously with the proposed feature-based data fusion method. This method does not require resampling images, which is an advantage over the other methods, and can perform in any aspect ratio between the pixels of MRI and PET images.
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.
基金funding from the European Union’s Seventh Framework Programme(FP7/2007-2013)under grant agreement no 242175 and from the Sonnenfeld Stiftung,Berlin,Germany.
文摘Regenerative medicine has become a new therapeutic approach in which stem cells or genetically reprogrammed cells are delivered to diseased areas in the body with the intention that such multipotent cells will differentiate into healthy tissue and exchange damaged tissue. The success of such cell-based therapeutic approaches depends on precise dosing and delivery of the cells to the desired site in the human body. To determine the accuracy and efficacy of the therapy, tracking of the engrafted cells in an intact living organism is crucial. There is a great need for sensitive, noninvasive imaging methods, which would allow clinicians to monitor viability, migration dynamics, differentiation towards specific cell type, regeneration potential and integration of transplanted cells with host tissues for an optimal time period. Various in vivo tracking methods are currently used including: MRI (Magnetic Resonance Imaging), PET (Positron Emission Tomography), SPECT (Single Photon Emission Computer Tomography), optical imaging (OI), photoacoustic imaging (PAI) and ultrasound (US). In order to carry out the detection with each of the aforementioned techniques, the cells must be labeled either exogenously (ex vivo) or endogenously (in vivo). For tracking the administrated cells, scientists usually manipulate cells outside the living organism by incorporating imaging contrast agents (CAs) or reporter genes. Strategies for stem cell labeling using CAs will be reviewed in the light of various imaging techniques.
