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Add k-space basics tutorial for MRI reconstruction #2056

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Add k-space basics tutorial for MRI reconstruction
ViSaReVe Feb 9, 2026
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10 changes: 9 additions & 1 deletion README.md
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Expand Up @@ -386,4 +386,12 @@ Example shows the use cases of using MONAI to evaluate the performance of a gene

#### [VISTA2D](./vista_2d)
This tutorial demonstrates how to train a cell segmentation model using the [MONAI](https://monai.io/) framework and the [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything) on the [Cellpose dataset](https://www.cellpose.org/).
ECHO가 설정되어 있습니다.

#### <ins>**Reconstruction**</ins>
##### [K-Space Basics with fastMRI Knee Data](./reconstruction/MRI_reconstruction/tutorials/01_kspace_basics_fastmri_knee.ipynb)
This tutorial introduces MRI reconstruction fundamentals: what k-space is, how the Fourier transform connects k-space to images, why undersampling causes aliasing, and how MONAI's reconstruction transforms process k-space data. Uses the fastMRI knee single-coil dataset.
##### [U-Net MRI Reconstruction](./reconstruction/MRI_reconstruction/unet_demo)
Training and inference for accelerated MRI reconstruction using BasicUNet on the fastMRI brain multi-coil dataset.
##### [VarNet MRI Reconstruction](./reconstruction/MRI_reconstruction/varnet_demo)
Training and inference for accelerated MRI reconstruction using e2e-VarNet on the fastMRI brain multi-coil dataset.
ECHO占쏙옙 占쏙옙占쏙옙占실억옙 占쌍쏙옙占싹댐옙.
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