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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Bibliographische Detailangaben

Veröffentlicht in:	Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 108(2020), 1 vom: 11. Jan., Seite 86-109
1. Verfasser:	Ravishankar, Saiprasad (VerfasserIn)
Weitere Verfasser:	Ye, Jong Chul, Fessler, Jeffrey A
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
Schlagworte:	Journal Article Compressed sensing Deep learning Dictionary learning Efficient algorithms Image reconstruction MRI Machine learning Multi-layer models Nonconvex optimization mehr... PET SPECT Sparse and low-rank models Structured models Transform learning X-ray CT