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Research progress of neuroimaging texture analysis and radiomics in Parkinson's disease
WANG Jin  WANG Bo  WU Kunhua 

WANG J, WANG B, WU K H. Research progress of neuroimaging texture analysis and radiomics in Parkinson's disease[J]. Chin J Magn Reson Imaging, 2023, 14(8): 118-123. DOI:10.12015/issn.1674-8034.2023.08.020.


[Abstract] Texture analysis and radiomics are emerging fields of computer-aided imaging diagnosis, which can overcome the deficiency of visual diagnosis and assist in the diagnosis and identification of diseases by quantifying subtle information in medical images that is difficult to assess with the naked eye. Parkinson's disease (PD) is a complex progressive neurodegenerative disease with a high prevalence and low diagnostic accuracy. In recent years, a variety of neuroimaging methods based on texture analysis and radiomics had become the focus of PD research. In this paper, the research status and application prospects of the above fields are reviewed, aiming at providing new ideas for neuroimaging research of PD, and then providing more accurate imaging support for clinical diagnosis and treatment of PD.
[Keywords] Parkinson's disease；texture analysis；radiomics；magnetic resonance imaging；neuroimaging

WANG Jin1   WANG Bo2*   WU Kunhua2  

1 College of Medical, Kunming University of Science and Technology, the First People's Hospital of Yunnan Province (the Affiliated Hospital of Kunming University of Science and Technology), Kunming 650032, China

2 Department of MRI, the First People's Hospital of Yunnan Province (the Affiliated Hospital of Kunming University of Science and Technology), Kunming 650032, China

Corresponding author: Wang B, E-mail: wangbo871@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Key Research and Development Plan of China (No. 2018YFA0801403).
Received  2023-03-14
Accepted  2023-07-27
DOI: 10.12015/issn.1674-8034.2023.08.020
WANG J, WANG B, WU K H. Research progress of neuroimaging texture analysis and radiomics in Parkinson's disease[J]. Chin J Magn Reson Imaging, 2023, 14(8): 118-123. DOI:10.12015/issn.1674-8034.2023.08.020.

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