Quantitative description method of PET image nasopharyngeal carcinoma intra-tumor heterogeneity
A technology for nasopharyngeal carcinoma and heterogeneity, applied in the field of medical image analysis, can solve the problems that limit the adequacy and comprehensiveness, lack of specificity, and dependence of quantitative description of intratumoral heterogeneity, and achieve richness, adequacy and comprehensiveness Effect
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Embodiment 1
[0032] A quantitative characterization method for intratumoral heterogeneity of nasopharyngeal carcinoma in PET images, such as figure 1 shown, including:
[0033] The first step is to acquire the original image in DICOM format of the PET / CT scan of the target object, and perform preprocessing on the original image.
[0034] Due to the low resolution and small image size of PET images, usually 128*128, it is necessary to interpolate PET images in DICOM format to register and fuse them with CT images (512*512), and cubic splines can be used interpolation. In order to obtain the standard uptake value of each tissue, it is also necessary to convert the reconstructed attenuation-corrected activity map into a standard uptake value SUV image. The preprocessing of the original image in the present invention includes: interpolating the PET image, and combining with CT Image registration and fusion, and use the formula (1) to convert the PET activity map into a standard uptake value ...
Embodiment 2
[0072] A quantitative characterization method for intratumoral heterogeneity of nasopharyngeal carcinoma in PET images, such as figure 2 shown, including the following steps.
[0073] First, the acquired DICOM format PET image was subjected to cubic spline interpolation, and it was registered and fused with the CT image to obtain an image size of 512*512 and a voxel size of 0.98*0.98*3. The following formula was used to convert the PET activity map into a standard uptake value SUV image:
[0074]
[0075] Then, 106 cases (69 cases of nasopharyngeal carcinoma and 37 cases of chronic nasopharyngitis) were segmented by using the threshold segmentation method with SUV>2.5 combined with the manual adjustment method.
[0076] The segmented lesions were discretized by SUV gray scale according to the following formula (SUV=0.1 for discrete interval):
[0077]
[0078] Among them, SUV(x) represents the standard uptake value of voxel x, B represents the discretization distance,...
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