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- W2384202062 abstract "Purpose:Attempt a localization registration approach of 2-Dimension(2D) images based on somatotopic localization to achieve accurate fusion of 3-Dimension(3D) images from modalities of PET,CT and MR one by one.Methods:The original data of PET,CT and MR were converted into digital format after input.Cubic localization solution of9-point 3-planewas designed for registration.Image fusion was completed at a real-time workstation Mimics based on autofusing style of information exchanged by signal overlaid technique.Results:The fused cubic images of cross modality from CT+MR,PET+MR and PET+CT were mutually practiced on cranium,chest and knee samples from lung cancer patients.Distinct complementary images of simultaneously distinguishing pathological changes nature and location between soft and hard tissue were created.Conclusion:This advanced digital algorithm for cross modality fusion is of clinical significance to improve early diagnosis and differential diagnosis,although the cross modality processing is not completely through concurrently as single modality PET+CT,this experiment will provide experience drawn on invention of CT+MRI or PET+MR single modality equipment for medical imaging enterprise in development." @default.
- W2384202062 created "2016-06-24" @default.
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- W2384202062 date "2011-01-01" @default.
- W2384202062 modified "2023-09-25" @default.
- W2384202062 title "Evaluation of 3D Image Fusion between PET,CT and MRI Based on Somatotopic Localization" @default.
- W2384202062 hasPublicationYear "2011" @default.
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