ViP-CSI: Virtual Phantom Chemical Shift Imaging
- 作者: 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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隶属关系:
- 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
- 期: 卷 49, 编号 4 (2018)
- 页面: 369-380
- 栏目: Original Paper
- URL: https://journals.rcsi.science/0937-9347/article/view/248518
- DOI: https://doi.org/10.1007/s00723-018-0981-6
- ID: 248518
如何引用文章
详细
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.
作者简介
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)
编辑信件的主要联系方式.
Email: liujie.list@seu.edu.cn
ORCID iD: 0000-0001-8424-5184
中国, 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
法国, 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
中国, 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
中国, 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
法国, 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
法国, Rennes, 35000; Rennes, 35000; Rennes, 35000
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