mrimagingli / amidecest-aliphaticnoe Goto Github PK

Matlab toolbox of polynomial and Lorentzian line-shape fitting (PLOF) method for the amideCEST mapping of human brain at 3T

Authors: Ran Sui, Lin Chen, Jiadi Xu*

Email:[email protected]

Affiliations:

1. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA
2. Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA Matlab version: (R2020b)

This toolbox contains demo Matlab code and example dataset for extracting amideCEST with both PLOF [1-2] and MLSVD [3] methods at 3T. The PLOF method is one updated version with a new background fitting function that is suitable for the CEST peaks close to water (PLOF 2.0) such as amideCEST and creatine CEST. The related publication is

Ran Sui+, Lin Chen+, Kannie W. Y. Chan, Yuguo Li, Jianpan Huang, Xiang Xu, Peter C. M. van Zijl, Jiadi Xu* “Whole-brain amide CEST imaging at 3T with a steady-state radial MRI acquisition ”, Magnetic Resonance in Medicine, (2021) http://doi.org/10.1002/mrm.28770.

The original MLSVD and PLOF methods can be found here:

1. PLOF 1.0 Method https://github.com/LinChenMRI/PLOF.git

[1] Chen L, Wei Z, Cai S, Li Y, Liu G, Lu H, Weiss RG, van Zijl PCM, Xu J. High-resolution creatine mapping of mouse brain at 11.7 T using non-steady-state chemical exchange saturation transfer. NMR Biomed 2019;32(11):e4168.

[2] Chen L, Barker PB, Weiss RG, van Zijl PCM, Xu J. Creatine and phosphocreatine mapping of mouse skeletal muscle by a polynomial and Lorentzian line-shape fitting CEST method. Magn Reson Med 2019;81(1):69-78.

2. MLSVD method https://github.com/LinChenMRI/MLSVD-CEST/

[3] Lin Chen*, Suyi Cao, Raymond C. Koehler, Peter C. M. van Zijl, Jiadi Xu,High-sensitivity CEST mapping using a spatiotemporal correlation enhanced method. Magn Reson Med. 2020;https://doi.org/10.1002/mrm.28380