Interpretable Multi-modal Image Registration Network Based on Disentangled Convolutional Sparse Coding

Multi-modal image registration aims to spatially align two images from different modalities to make their feature points match with each other. Captured by different sensors, the images from different modalities often contain many distinct features, which makes it challenging to find their accurate...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 32; S. 1
Hauptverfasser:	Deng, Xin, Liu, Enpeng, Li, Shengxi, Duan, Yiping, Xu, Mai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Alignment Computed tomography Convolutional codes convolutional sparse coding Feature extraction Generative adversarial networks Image coding Image registration Infrared imagery interpretable network Magnetic resonance imaging Measurement Medical imaging multi-modal image registration Optimization Registration Strain Task analysis
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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