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Method and System of Multivariate Analysis on Volume-Wise Data of Reference Structure Normalized Images for Improved Quality in Positron Emission Tomography Studies
Method and System of Multivariate Analysis on Volume-Wise Data of Reference Structure Normalized Images for Improved Quality in Positron Emission Tomography Studies
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机译:正电子发射层析成像研究中参考结构归一化图像体积明智数据的多变量分析方法和系统,以提高质量
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摘要
A method and system are provided to mask out the background in dynamic PET images, to perform pre-normalization on the masked dynamic PET images, and to apply multivariate image analysis (e.g., principal component analysis PCA) on the masked pre-normalized dynamic PET images in order to improve the quality of the dynamic PET images and the PET study. A masking operation applies PCA to untreated dynamic PEET images before any pre-normalization in order to mask out the background pixels. This masking operation uses the Otsu method. A first normalization method is background noise pre-normalization where pixel values are corrected for background noise. A second normalization method is kinetic pre-normalization where the contrast within an image is improved. Multivariate analysis such as PCA may be applied on the whole volume to find the largest variance in the structure.
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