Reliable quantification of marrow fat content and unsaturation level using in vivo MR spectroscopy. Issue 3 (16th July 2017)

• Record Type: Journal Article
• Authors: Xu, Kaipin; Sigurdsson, Sigurdur; Gudnason, Vilmundur; Hue, Trisha; Schwartz, Ann; Li, Xiaojuan
• Is Part Of: Magnetic resonance in medicine. Volume 79:Issue 3(2018)
• Page Start: 1722
• Page End: 1729
• Publication Date: 2017-07-16
• Subjects: bone marrow -- fat quantification -- fat unsaturation -- Voigt line shape model -- time‐domain analysis -- computer simulation -- in vivo magnetic resonance spectroscopy (MRS); Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26828
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To develop a novel technique for reliable quantification of bone marrow fat content and composition using in vivo MR spectroscopy (MRS). Methods: An MRS quantification method combining both advantages of Voigt line shape model and time‐domain analysis was developed. The proposed method was tested using computer‐simulated data and in vivo data acquired at lumbar vertebral bodies of 23 subjects (age, 83.8 ± 3.7 y; male, n = 13; female, n = 10) from L1 to L4. Reliability and reproducibility were calculated for the quantification results. Comparisons between the proposed method and some conventional methods were conducted. Results: Low mean absolute percentage errors and low mean coefficients of variation for computer simulations suggest that the proposed method is accurate and precise. By using this method, marrow fat content can be quantified reliably, even for data with low spectral resolution and low signal‐to‐noise ratio (SNR). Unsaturation level can be reliably quantified for data with moderate spectral resolution and moderate SNR. Results obtained from in vivo data using the proposed method demonstrated better model fit than conventional methods. Conclusion: The method proposed in this study has better performance than conventional methods in the quantification of bone marrow MRS data and has great potential for wide applications of studying marrow fat content and composition. Magn Reson Med 79:1722–1729, 2018. © 2017 International Society for Magnetic Resonance in Medicine.