Magnetic resonance spectroscopic imaging in breast cancer detection: possibilities beyond the conventional theoretical framework for data analysis

Author(s):  
Karen Belkić
2003 ◽  
Vol 19 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Michael A. Jacobs ◽  
Peter B. Barker ◽  
Paul A. Bottomley ◽  
Zaver Bhujwalla ◽  
David A. Bluemke

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.


2020 ◽  
Vol 180 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Anna Rotili ◽  
Rubina Manuela Trimboli ◽  
Silvia Penco ◽  
Filippo Pesapane ◽  
Priyan Tantrige ◽  
...  

1999 ◽  
Vol 104 (7) ◽  
pp. 2116-2120 ◽  
Author(s):  
Hui-Ling Peng ◽  
Chin-Chu Wu ◽  
Wai-Man Choi ◽  
Man-Sheng Hui ◽  
Ta-Nien Lu ◽  
...  

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