MRI Inter-slice Reconstruction Using Super-Resolution

By Hayit Greenspan, S. Peled, Gal Oz, Nahum Kiryati. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2001

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Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping (2010, unknown): “In the context of standard 2D MRI, it is now generally accepted that this approach can only lead to superresolution in the slice-encoded direction due to the band-limited nature of Fourier-encoded data (Greenspan et al., 2002).”
Super‐resolution MRI using microscopic spatial modulation of magnetization (2010, methodology): “In MRI, SR has been proposed for increasing the image resolution in the slice selection direction (2) and in the phase- or frequency-encoding direction (3,4).”
A Super-Resolution Framework for 3-D High-Resolution and High-Contrast Imaging Using 2-D Multislice MRI (2009, methodology): “image stacks, spaced equidistantly across the slice normal direction at a fraction of the slice distance [12].”
Super‐resolution methods in MRI: Can they improve the trade‐off between resolution, signal‐to‐noise ratio, and acquisition time? (2012, methodology): “The edge width of each profile was computed by nonlinear LS fitting of the following sigmoid function (12,20):”
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction (2018, methodology): “Peled and Yeshurun [5] and Greenspan [6] applied an iterative back-projection method to 2D and 3D MRI super-resolution.”