ViP-CSI: Virtual Phantom Chemical Shift Imaging
- Authors: Liu J.1,2,3,4, Karfoul A.2,3,4, Jiang L.1,4, Shu H.1,4, Saint-Jalmes H.2,3,4,5, Gambarota G.2,3,4
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Affiliations:
- LIST, School of Computer Science and Engineering, Southeast University
- INSERM, U1099
- Université de Rennes 1, LTSI
- Centre de Recherche en Information Biomédicale sino-français (CRIBs)
- Centre Eugène Marquis CRLCC Eugène Marquis
- Issue: Vol 49, No 4 (2018)
- Pages: 369-380
- Section: Original Paper
- URL: https://journals.rcsi.science/0937-9347/article/view/248518
- DOI: https://doi.org/10.1007/s00723-018-0981-6
- ID: 248518
Cite item
Abstract
To apply the Virtual Phantom (ViP) method for generating reference signals, to the chemical shift imaging (CSI) technique. The ViP method, previously used for generating reference images in magnetic resonance imaging (MRI), was here extended to generate reference peaks in the MR spectra acquired with a 2D-CSI sequence. Theoretical analysis was carried out to design the ViP signal. ViP-2D-CSI experiments were performed on a 4.7 Tesla MR scanner. Data analysis was carried out with the jMRUI software to fit the ViP peaks to determine their amplitude and frequency. Based on the theoretical analysis, it was found that the ViP peak could be generated by transmitting the ViP signal only in one repetition time of the 2D-CSI sequence. The amplitude and frequency of the ViP peak could be precisely adjusted and fine-tuned. The ViP peak was uniform over all CSI voxels, both in amplitude and in frequency. Furthermore, a good stability of the ViP reference amplitude and frequency was observed. The ViP method provides a means to generate a reference MR peak in 2D-CSI experiments. This could be of interest for signal quantification in CSI experiments.
About the authors
Jie Liu
LIST, School of Computer Science and Engineering, Southeast University; INSERM, U1099; Université de Rennes 1, LTSI; Centre de Recherche en Information Biomédicale sino-français (CRIBs)
Author for correspondence.
Email: liujie.list@seu.edu.cn
ORCID iD: 0000-0001-8424-5184
China, Nanjing, 210096; Rennes, 35000; Rennes, 35000; Rennes, 35000
Ahmad Karfoul
INSERM, U1099; Université de Rennes 1, LTSI; Centre de Recherche en Information Biomédicale sino-français (CRIBs)
Email: liujie.list@seu.edu.cn
France, Rennes, 35000; Rennes, 35000; Rennes, 35000
Longyu Jiang
LIST, School of Computer Science and Engineering, Southeast University; Centre de Recherche en Information Biomédicale sino-français (CRIBs)
Email: liujie.list@seu.edu.cn
China, Nanjing, 210096; Rennes, 35000
Huazhong Shu
LIST, School of Computer Science and Engineering, Southeast University; Centre de Recherche en Information Biomédicale sino-français (CRIBs)
Email: liujie.list@seu.edu.cn
China, Nanjing, 210096; Rennes, 35000
Hervé Saint-Jalmes
INSERM, U1099; Université de Rennes 1, LTSI; Centre de Recherche en Information Biomédicale sino-français (CRIBs); Centre Eugène Marquis CRLCC Eugène Marquis
Email: liujie.list@seu.edu.cn
France, Rennes, 35000; Rennes, 35000; Rennes, 35000; Avenue Bataille Flandres-Dunkerque, Rennes, 35000
Giulio Gambarota
INSERM, U1099; Université de Rennes 1, LTSI; Centre de Recherche en Information Biomédicale sino-français (CRIBs)
Email: liujie.list@seu.edu.cn
France, Rennes, 35000; Rennes, 35000; Rennes, 35000