Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure

Unsupervised 3D PET-CT Image Registration Method Using a Metabolic Constraint Function and a Multi-Domain Similarity Measure

High-resolution CT images can clearly display anatomical structures but does not display functional information, while blurred PET images can display molecular and functional information of lesions but cannot clearly display morphological structures. Therefore, accurate PET-CT image registration, wh...

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Bibliographic Details
Main Authors: Hengjian Yu, Huiyan Jiang, Xiangrong Zhou, Takeshi Hara, Yu-Dong Yao, Hiroshi Fujita
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
PET/CT images
3D image registration
unsupervised registration
metabolic constraint
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9052732/

Internet

https://ieeexplore.ieee.org/document/9052732/

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