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Digital image fusion of CT and PET data sets--clinical value in abdominal/pelvic malignancies.

机译:CT和PET数据集的数字图像融合-腹部/盆腔恶性肿瘤的临床价值。

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PURPOSE: We investigated the clinical relevance of digital image fusion of CT and 2-[18F]fluoro-2-deoxy-D-glucose ([18F]FDG) positron emission tomography (PET) studies in patients with suspected abdominal and/or pelvic metastasis. METHOD: Nineteen patients with suspected residual/recurrent malignancies underwent CT and [18F]FDG PET studies of the abdomen and/or pelvis. The data sets of both modalities were fused on a digital workstation by automatic adaptation of the pixel size and the slice thickness. Different body positions were corrected by semiautomatic adaptation of the body axes. The fused images were reconstructed in sagittal, coronal, and axial planes. RESULTS: Good spatial correlation between both modalities was achieved in all patients. Image fusion improved the spatial allocation of pathologically increased [18F]FDG uptake in 7 of 35 lesions (20%). CONCLUSION: This work suggests that digital image fusion of CT and [18F]FDG PET data sets improves the anatomical localization of foci with increased [18F]FDG enhancement of the retroperitoneum and the abdominal/pelvic wall, respectively.
机译:目的:我们调查了CT和2- [18F]氟-2-脱氧-D-葡萄糖([18F] FDG)正电子发射断层扫描(PET)研究中的数字图像融合在怀疑腹部和/或骨盆疾病患者中的临床相关性转移。方法:对19名怀疑残留/复发性恶性肿瘤的患者进行了腹部和/或骨盆的CT和[18F] FDG PET研究。通过自动调整像素大小和切片厚度,将两种模态的数据集融合在数字工作站上。通过半自动调整身体轴来校正不同的身体位置。融合的图像在矢状,冠状和轴向平面重建。结果:所有患者都实现了两种模式之间良好的空间相关性。图像融合改善了在35个病变中的7个(20%)中病理性增加的[18F] FDG摄取的空间分配。结论:这项工作表明CT和[18F] FDG PET数据集的数字图像融合可通过增加[18F] FDG分别增强腹膜后壁和腹/骨盆壁来改善病灶的解剖学定位。

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