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Fully automated atlas‐based method for prescribing 3D PRESS MR spectroscopic imaging: Toward robust and reproducible metabolite measurements in human brain
Purpose To implement a fully automated atlas‐based method for prescribing 3D PRESS MR spectroscopic imaging (MRSI). Methods The PRESS selected volume and outer‐volume suppression bands were predefined on the MNI152 standard template image. The template image was aligned to the subject T1‐weighted im...
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Published in: | Magnetic resonance in medicine 2018-02, Vol.79 (2), p.636-642 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose
To implement a fully automated atlas‐based method for prescribing 3D PRESS MR spectroscopic imaging (MRSI).
Methods
The PRESS selected volume and outer‐volume suppression bands were predefined on the MNI152 standard template image. The template image was aligned to the subject T1‐weighted image during a scan, and the resulting transformation was then applied to the predefined prescription. To evaluate the method, H‐1 MRSI data were obtained in repeat scan sessions from 20 healthy volunteers. In each session, datasets were acquired twice without repositioning. The overlap ratio of the prescribed volume in the two sessions was calculated and the reproducibility of inter‐ and intrasession metabolite peak height and area ratios was measured by the coefficient of variation (CoV). The CoVs from intra‐ and intersession were compared by a paired t‐test.
Results
The average overlap ratio of the automatically prescribed selection volumes between two sessions was 97.8%. The average voxel‐based intersession CoVs were less than 0.124 and 0.163 for peak height and area ratios, respectively. Paired t‐test showed no significant difference between the intra‐ and intersession CoVs.
Conclusion
The proposed method provides a time efficient method to prescribe 3D PRESS MRSI with reproducible imaging positioning and metabolite measurements. Magn Reson Med 79:636–642, 2018. © 2017 International Society for Magnetic Resonance in Medicine. |
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ISSN: | 0740-3194 1522-2594 |
DOI: | 10.1002/mrm.26718 |