Possibilities of Using Multi-b-value Diffusion Magnetic Resonance Imaging for Classification of Brain Lesions

被引:2
|
作者
Koprivova, Tereza [1 ,2 ]
Kerkovsky, Milos [1 ,2 ]
Juza, Tomas [1 ,2 ,6 ]
Vybihal, Vaclav [3 ,4 ]
Rohan, Tomas [1 ,2 ]
Kozubek, Michal [5 ]
Dostal, Marek [1 ,2 ,6 ]
机构
[1] Masaryk Univ, Fac Med, Dept Radiol & Nucl Med, Jihlavska 20, Brno 62500, Czech Republic
[2] Univ Hosp Brno, Jihlavska 20, Brno 62500, Czech Republic
[3] Masaryk Univ Brno, Fac Med, Dept Neurosurg, Brno 62500, Czech Republic
[4] Univ Hosp Brno, Brno 62500, Czech Republic
[5] Masaryk Univ, Fac Informat, Ctr Biomed Image Anal, Brno, Czech Republic
[6] Masaryk Univ, Fac Med, Dept Biophys, Brno, Czech Republic
关键词
DWI; IVIM; DKI; Brain tumours; INTRAVOXEL INCOHERENT MOTION; DIFFERENTIATING HIGH-GRADE; PERFUSION FRACTION; WEIGHTED MRI; GLIOMAS; TUMOR; PSEUDOPROGRESSION; METASTASIS; RESOLUTION; ABSCESS;
D O I
10.1016/j.acra.2023.10.002
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
In contrast to conventional diffusion magnetic resonance imaging (MRI), multi-b-value diffusion MRI methods are able to separate the signal from free water, pseudo-diffusion, and non-Gaussian components of water molecule diffusion. These approaches can then be utilised in so-called intravoxel incoherent motion imaging and diffusion kurtosis imaging. Various parameters provided by these methods can describe additional characteristics of the tissue microstructure and potentially help in the diagnosis and classification of various pathological processes. In this review, we present the basic principles and methods of analysing multi-b-value diffusion imaging data and specifically focus on the known possibilities for its use in the diagnosis of brain lesions. We also suggest possible directions for further research.
引用
收藏
页码:261 / 272
页数:12
相关论文
共 50 条
  • [31] Role of diffusion weighted imaging and proton magnetic resonance spectroscopy in ring enhancing brain lesions
    ABO-Sheisha, Dina M.
    Amin, Mohamed A.
    Soliman, Ahmed Y.
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2014, 45 (03): : 825 - 832
  • [32] Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique
    Barrick, Thomas R.
    Spilling, Catherine A.
    Ingo, Carson
    Madigan, Jeremy
    Isaacs, Jeremy D.
    Rich, Philip
    Jones, Timothy L.
    Magin, Richard L.
    Hall, Matt G.
    Howe, Franklyn A.
    NEUROIMAGE, 2020, 211
  • [33] Diffusion magnetic resonance imaging in preterm brain injury
    Pandit, Anand S.
    Ball, Gareth
    Edwards, A. David
    Counsell, Serena J.
    NEURORADIOLOGY, 2013, 55 : 65 - 95
  • [34] Diffusion magnetic resonance imaging in preterm brain injury
    Anand S. Pandit
    Gareth Ball
    A. David Edwards
    Serena J. Counsell
    Neuroradiology, 2013, 55 : 65 - 95
  • [35] Study of pediatric brain development using magnetic resonance imaging of anisotropic diffusion
    Boujraf, S
    Luypaert, R
    Shabana, W
    De Meirleir, L
    Sourbron, S
    Osteaux, M
    MAGNETIC RESONANCE IMAGING, 2002, 20 (04) : 327 - 336
  • [36] Diffusion tensor magnetic resonance imaging of brain tumors
    Cruz, LCH
    Sorensen, AG
    NEUROSURGERY CLINICS OF NORTH AMERICA, 2005, 16 (01) : 115 - +
  • [37] Diffusion tensor magnetic resonance imaging in differentiation of breast lesions
    Amin, Esraa Saleh
    Elsharawy, Fatma Anas
    Mlees, Mohamed Ali
    EL-Saeid, Haytham Haroun
    Dawoud, Mohammed Fathy
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2023, 54 (01):
  • [38] Differentiation of cystic Pancreas lesions by Magnetic Resonance Diffusion imaging
    Kirchhoff, S. M.
    RADIOLOGE, 2012, 52 (08): : 701 - 702
  • [39] Diffusion tensor magnetic resonance imaging in differentiation of breast lesions
    Esraa Saleh Amin
    Fatma Anas Elsharawy
    Mohamed Ali Mlees
    Haytham Haroun EL-Saeid
    Mohammed Fathy Dawoud
    Egyptian Journal of Radiology and Nuclear Medicine, 54
  • [40] An Efficient Ensemble Approach for Brain Tumors Classification Using Magnetic Resonance Imaging
    Saeed, Zubair
    Torfeh, Tarraf
    Aouadi, Souha
    Ji, Xiuquan
    Bouhali, Othmane
    INFORMATION, 2024, 15 (10)