Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Well-designed k-space coverage is important for good MRI denoising
2
Zitationen
2
Autoren
2026
Jahr
Abstract
Classical acquisition design principles that allow spatial resolution to be traded for SNR enhancement are still very relevant for modern computational denoising techniques. However, the optimization of k-space coverage and denoising/reconstruction methods can also be somewhat confounded because the NRMSE and SSIM metrics have low sensitivity to spatial resolution.
Ähnliche Arbeiten
A Computational Approach to Edge Detection
1986 · 28.908 Zit.
Compressed sensing
2006 · 23.001 Zit.
Pattern Recognition and Machine Learning
2007 · 22.075 Zit.
A theory for multiresolution signal decomposition: the wavelet representation
1989 · 20.957 Zit.
Reducing the Dimensionality of Data with Neural Networks
2006 · 20.736 Zit.