Application of diffusion tensor imaging technology in glaucoma diagnosis

被引:2
|
作者
Wang, Jiaqi [1 ]
Zhang, Yaqiong [1 ]
Meng, Xueyu [1 ]
Liu, Gang [1 ]
机构
[1] Hubei Univ Med, Xiangyang No Peoples Hosp 1, Dept Ophthalmol, Xiangyang, Hubei, Peoples R China
关键词
glaucoma; diffusion tensor imaging; visual field; OCT; OCTA; OPEN-ANGLE GLAUCOMA; HUMAN OPTIC-NERVE; VISUAL PATHWAYS; DAMAGE; BRAIN; MR; PERIMETRY; DTI; NEURODEGENERATION; PERIPAPILLARY;
D O I
10.3389/fnins.2023.1125638
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Glaucoma is the first major category of irreversible blinding eye illnesses worldwide. Its leading cause is the death of retinal ganglion cells and their axons, which results in the loss of vision. Research indicates that glaucoma affects the optic nerve and the whole visual pathway. It also reveals that degenerative lesions caused by glaucoma can be found outside the visual pathway. Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that can investigate the complete visual system, including alterations in the optic nerve, optic chiasm, optic tract, lateral geniculate nuclear, and optic radiation. In order to provide a more solid foundation for the degenerative characteristics of glaucoma, this paper will discuss the standard diagnostic techniques for glaucoma through a review of the literature, describe the use of DTI technology in glaucoma in humans and animal models, and introduce these techniques. With the advancement of DTI technology and its coupling with artificial intelligence, DTI represents a potential future for MRI technology in glaucoma research.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging
    Elnakieb, Yaser A.
    Ali, Mohamed T.
    Soliman, Ahmed
    Mahmoud, Ali H.
    Shalaby, Ahmed M.
    Alghamdi, Norah Saleh
    Ghazal, Mohammed
    Khalil, Ashraf
    Switala, Andrew
    Keynton, Robert S.
    Barnes, Gregory Neal
    El-Baz, Ayman
    IEEE ACCESS, 2020, 8 : 191298 - 191308
  • [32] Clinical application value of 3.0T MR diffusion tensor imaging in grade diagnosis of gliomas
    Shan, Wei
    Wang, Xing-Long
    ONCOLOGY LETTERS, 2017, 14 (02) : 2009 - 2014
  • [33] Clinical Application of Diffusion Tensor Imaging for a Brachial Plexus Injury
    Vara, Giulio
    Tuzzato, Gianmarco
    Bianchi, Giuseppe
    Miceli, Marco
    Spinardi, Luca
    Golfieri, Rita
    Rinaldi, Raffaella
    Facchini, Giancarlo
    DIAGNOSTICS, 2022, 12 (07)
  • [34] Robust Correction of Spike Noise: Application to Diffusion Tensor Imaging
    Chavez, S.
    Storey, P.
    Graham, S. J.
    MAGNETIC RESONANCE IN MEDICINE, 2009, 62 (02) : 510 - 519
  • [35] Clinical application of diffusion tensor imaging and tractography in a child with holoprosencephaly
    Ortiz, Blair
    Herrera, Diego A.
    Vargas, Sergio
    BIOMEDICA, 2011, 31 (02): : 164 - 167
  • [36] Clinical application of diffusion tensor imaging in pathology of the spinal cord
    Moldovanu, M.
    Gavriliuc, O.
    EUROPEAN JOURNAL OF NEUROLOGY, 2016, 23 : 571 - 571
  • [37] Application of multishot diffusion tensor imaging in spinal cord tumors
    Jiefei Li
    Le He
    Yuqi Zhang
    Brain Science Advances, 2019, 5 (01) : 59 - 64
  • [38] APPLICATION OF DIFFUSION TENSOR IMAGING IN MODELING DIFFUSE AXONAL INJURY
    Wright, Rika M.
    Ramesh, K. T.
    PROCEEDINGS OF THE ASME SUMMER BIOENGINEERING CONFERENCE - 2009, PT A AND B, 2009, : 367 - 368
  • [39] Glaucoma Classification Based on Histogram Analysis of Diffusion Tensor Imaging Measures in the Optic Radiation
    El-Rafei, Ahmed
    Engelhorn, Tobias
    Waerntges, Simone
    Doerfler, Arnd
    Hornegger, Joachim
    Michelson, Georg
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT I, 2011, 6854 : 529 - 536
  • [40] Diffusion tensor imaging of the visual pathway in dogs with primary angle-closure glaucoma
    Graham, Kathleen L.
    Johnson, Philippa J.
    Barry, Erica F.
    Perez Orrico, Marisa
    Soligo, Domenic J.
    Lawlor, Mitchell
    White, Andrew
    VETERINARY OPHTHALMOLOGY, 2021, 24 : 63 - 74