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Fig. 1 | EJNMMI Physics

Fig. 1

From: Combined quality and dose-volume histograms for assessing the predictive value of 99mTc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer

Fig. 1

Schematic representation of the post-processing workflow. a 90Y-PET/CT and 99mTc-MAA SPECT/CT images. b Dose matrices computed using the Planet Onco clinical workstation. Deformable image registration (DIR) and generation of the deformable vector field (DVF) using the validated HybridReg software. The deformation vector field (DVF) combines image information (i.e. intensities) with anatomical information provided by contoured image sets. The CT from the 99mTc-MAA-SPECT/CT was non-rigidly registered to the CT from the 90Y-PET/CT and using the liver VOIs as deformation constrain. Image intensity-based deformations were therefore restricted to remain within the corresponding liver VOI representations, while outside intensities were discarded. To minimize deformation-induced modifications of DPredicitve voxel values, the deformation knot grid and the MAA image resolution [cm/voxel] were kept around the same order (~ 0.5 cm/voxel). c Application of the DVF to the DPredicitve (called DPredicitve-D). The DPost-treatment was resampled (DPost-treatment-R) to the grid of DPredicitve-D to accomplish voxel-to-voxel alignment (= identical grid position and spacing), using a trilinear interpolation method

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