Revealing signal from noisy19F MR images by chemical shift artifact correction

2014 ◽  
Vol 73 (6) ◽  
pp. 2225-2233 ◽  
Author(s):  
Mirko Meissner ◽  
Marco Reisert ◽  
Thimo Hugger ◽  
Jürgen Hennig ◽  
Dominik von Elverfeldt ◽  
...  
1985 ◽  
Vol 2 (3) ◽  
pp. 253-261 ◽  
Author(s):  
Z. H. Cho ◽  
O. Nalcioglu ◽  
H. W. Park ◽  
J. B. Ra ◽  
S. K. Hilal

2012 ◽  
Vol 2 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Zijun Meng ◽  
Saurav ZK Sajib ◽  
Munish Chauhan ◽  
Woo Chul Jeong ◽  
Young Tae Kim ◽  
...  

2021 ◽  
Author(s):  
Sevim Cengiz ◽  
Muhammed Yildirim ◽  
Abdullah Bas ◽  
Esin Ozturk-Isik

Proton magnetic resonance spectroscopic imaging (1H-MRSI) provides noninvasive evaluation of brain metabolism. However, there are some limitations of 1H-MRSI preventing its wider use in the clinics, including the spectral quality issues, partial volume effect and chemical shift artifact. Additionally, it is necessary to create metabolite maps for analyzing spectral data along with other MRI modalities. In this study, a MATLAB-based open-source data analysis software for 3D 1H-MRSI, called Oryx-MRSI, which includes modules for visualization of raw 1H-MRSI data and LCModel outputs, chemical shift correction, tissue fraction calculation, metabolite map production, and registration onto standard MNI152 brain atlas while providing automatic spectral quality control, is presented. Oryx-MRSI implements region of interest analysis at brain parcellations defined on MNI152 brain atlas. All generated metabolite maps are stored in NIfTI format. Oryx-MRSI is publicly available at https://github.com/sevimcengiz/Oryx-MRSI along with six example datasets.


2016 ◽  
Vol 07 (S 01) ◽  
pp. S086-S087 ◽  
Author(s):  
Nishanth Sadashiva ◽  
Sarbesh Tiwari ◽  
Vinayak Narayan ◽  
Dhaval Shukla

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