Image Reconstruction : From Sparsity to Data-adaptive Methods and Machine Learning

The field of medical image reconstruction has seen roughly four types of methods. The first type tended to be analytical methods, such as filtered back-projection (FBP) for X-ray computed tomography (CT) and the inverse Fourier transform for magnetic resonance imaging (MRI), based on simple mathemat...

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Publié dans:	Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 108(2020), 1 vom: 11. Jan., Seite 86-109
Auteur principal:	Ravishankar, Saiprasad (Auteur)
Autres auteurs:	Ye, Jong Chul, Fessler, Jeffrey A
Format:	Article en ligne
Langue:	English
Publié:	2020
Accès à la collection:	Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
Sujets:	Journal Article Compressed sensing Deep learning Dictionary learning Efficient algorithms Image reconstruction MRI Machine learning Multi-layer models Nonconvex optimization plus... PET SPECT Sparse and low-rank models Structured models Transform learning X-ray CT