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

被引：3

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

来源：

ACADEMIC RADIOLOGY | 2024年 / 31卷 / 01期

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

页码：261 / 272

页数：12

共 50 条

[31] Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions [J].

Lin, Chu-Xin ;

Tian, Ye ;

Li, Jia-Min ;

Liao, Shu-Ting ;

Liu, Yu-Tao ;

Zhan, Run-Gen ;

Du, Zhong-Li ;

Yu, Xiang-Rong .

BMC MEDICAL IMAGING, 2023, 23 (01)

[32] Local texture descriptors for the assessment of differences in diffusion magnetic resonance imaging of the brain [J].

Leo Thomsen, Felix Sebastian ;

Augusto Delrieux, Claudio ;

de Luis-Garcia, Rodrigo .

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2017, 12 (03) :389-398

[33] Prospective and retrospective motion correction in diffusion magnetic resonance imaging of the human brain [J].

Kober, Tobias ;

Gruetter, Rolf ;

Krueger, Gunnar .

NEUROIMAGE, 2012, 59 (01) :389-398

[34] A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury [J].

Shenton, M. E. ;

Hamoda, H. M. ;

Schneiderman, J. S. ;

Bouix, S. ;

Pasternak, O. ;

Rathi, Y. ;

Vu, M. -A. ;

Purohit, M. P. ;

Helmer, K. ;

Koerte, I. ;

Lin, A. P. ;

Westin, C. -F. ;

Kikinis, R. ;

Kubicki, M. ;

Stern, R. A. ;

Zafonte, R. .

BRAIN IMAGING AND BEHAVIOR, 2012, 6 (02) :137-192

[35] Thin-section diffusion-weighted magnetic resonance imaging of the brain with parallel imaging [J].

Oner, A. Y. ;

Celik, H. ;

Tali, T. ;

Akpek, S. ;

Tokgoz, N. .

ACTA RADIOLOGICA, 2007, 48 (04) :456-463

[36] A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury [J].

M. E. Shenton ;

H. M. Hamoda ;

J. S. Schneiderman ;

S. Bouix ;

O. Pasternak ;

Y. Rathi ;

M.-A. Vu ;

M. P. Purohit ;

K. Helmer ;

I. Koerte ;

A. P. Lin ;

C.-F. Westin ;

R. Kikinis ;

M. Kubicki ;

R. A. Stern ;

R. Zafonte .

Brain Imaging and Behavior, 2012, 6 :137-192

[37] Multiple brain abscesses - Differentiation from cerebral metastases by diffusion-weighted magnetic resonance imaging [J].

Tsuchiya, K ;

Yamakami, N ;

Hachiya, J ;

Saito, I ;

Kobayashi, H .

INTERNATIONAL JOURNAL OF NEURORADIOLOGY, 1998, 4 (04) :258-262

[38] Low b-Value Diffusion-Weighted Cardiac Magnetic Resonance Imaging Initial Results in Humans Using an Optimal Time-Window Imaging Approach [J].

Rapacchi, Stanislas ;

Wen, Han ;

Viallon, Magalie ;

Grenier, Denis ;

Kellman, Peter ;

Croisille, Pierre ;

Pai, Vinay M. .

INVESTIGATIVE RADIOLOGY, 2011, 46 (12) :751-758

[39] RETRACTED: Application Value of Mathematical Models of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Breast Cancer Lesions (Retracted Article) [J].

Jiang, Xiaolong ;

Chen, Chao ;

Liu, Jie ;

Liu, Sheng .

EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2021, 2021

[40] Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging [J].

Baltzer, Pascal A. T. ;

Bickel, Hubert ;

Spick, Claudio ;

Wengert, Georg ;

Woitek, Ramona ;

Kapetas, Panagiotis ;

Clauser, Paola ;

Helbich, Thomas H. ;

Pinker, Katja .

INVESTIGATIVE RADIOLOGY, 2018, 53 (04) :229-235

← 1 2 3 4 5 →