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• Technical Article •
Feasibility study on quantification method of fat infiltration in thigh muscle based on axial T1WI image
YAN Jun  WANG Ling  HUANG Yilong  WANG Haolei  ZHU Hongli  LUO Lin  HE Bo 

Cite this article as: Yan J, Wang L, Huang YL, et al. Feasibility study on quantification method of fat infiltration in thigh muscle based on axial T1WI image[J]. Chin J Magn Reson Imaging, 2021, 12(12): 49-54. DOI:10.12015/issn.1674-8034.2021.12.010.


[Abstract] Objective To explore the feasibility of using ImageJ to segment and quantify subcutaneous adipose tissue (SAT), intramuscular fat (IntraMF) and intermuscular fat (InterMF) on MRI T1WI images. Materials and Methods: MRI scans of the midthigh were performed on 28 volunteers, including 14 patients with type 2 diabetes. Goutallier classification was performed for the degree of muscle fat infiltration on the axial T1 image. The SAT, IntraMF and InterMF areas of the thigh were measured by ImageJ segmentation. The area of IntraMF was calculated by the fat fraction as measured by iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification sequence (IDEAL-IQ). The correlation between ImageJ segmentation and Goutallier classification and IDEA-IQ fat quantification method was analyzed. The intra-observer and inter-observer reliability of the ImageJ segmentation method was tested.Results There was a strong correlation between the ImageJ segmentation and the fat fraction as measured by IDEA-IQ (r=0.998, P＜0.001); the inter-observer and intra-observer ICC for ImageJ segmentation of thigh SAT area was 0.999, P＜0.001; the inter-observer ICC of InterMF area was 0.941, P=0.003, intra-observer ICC was 0.992, P＜0.001; the inter-observer ICC of thigh IntraMF area was 1.000, P＜0.001, and the intra-observer ICC was 0.997, P＜0.001.Conclusion ImageJ was reliable in quantifying thigh SAT, IntraMF and InterMF on MR T1 images, and was strongly correlated with IDEA-IQ fat quantification. ImageJ segmentation is a feasible alternative to semi-quantitative Goutallier classification.
[Keywords] skeletal muscle；fatty infiltration；ImageJ；fat quantification；magnetic resonance imaging

YAN Jun1, 2   WANG Ling3   HUANG Yilong1   WANG Haolei1   ZHU Hongli1   LUO Lin2   HE Bo1*  

1 Department of Medical Imaging, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China

2 Department of Radiology, Qujing First People's Hospital, Qujing 655000, China

3 Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China

He B, E-mail: 929883137@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Graduate Innovation Fund Project of Kunming Medical University (No. 2020S036).
Received  2021-09-28
Accepted  2021-11-05
DOI: 10.12015/issn.1674-8034.2021.12.010
Cite this article as: Yan J, Wang L, Huang YL, et al. Feasibility study on quantification method of fat infiltration in thigh muscle based on axial T1WI image[J]. Chin J Magn Reson Imaging, 2021, 12(12): 49-54. DOI:10.12015/issn.1674-8034.2021.12.010.

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