Spatiotemporal Map (STM) Computation and Reconstruction Software v1.0

Overview

This MATLAB software provides examples of the reconstruction framework proposed in [1]. It performs reconstruction of 2D multichannel retrospectively undersampled dynamic MRI k-space data by computing and using spatiotemporal maps.

Notes

• The reconstruction in the provided examples uses a simple Tikhonov-regularized model-based approach using STMs. However, once STMs are computed, more advanced reconstruction approaches or regularizers could be used.
• The code for STM computation is based on the PISCO software for sensitivity map estimation: https://github.com/ralobos/PISCO.git
• 3D examples will be provided soon.

Contents

Main Scripts

• STM_computation.m - Function for STM computation
• example_STM_recon_2D_multichannel.m - Example using 2D multichannel retrospectively undersampled data. STMs are computed and used for reconstruction.

References

[1] R. A. Lobos, X. Wang, R. T. L. Fung, Y. He, D. Frey, D. Gupta, Z. Liu, J. A. Fessler, D. C. Noll.
"Spatiotemporal Maps for Dynamic MRI Reconstruction," IEEE Transactions on Computational Imaging, (In press).
https://arxiv.org/abs/2507.14429