Clinical applications of 3D volume MR imaging of the fetal brain in utero

被引:9
|
作者
Jarvis, Deborah [1 ]
Griffiths, Paul D. [2 ]
机构
[1] Univ Sheffield, Acad Unit Radiol, Sheffield, S Yorkshire, England
[2] Univ Sheffield, Acad Radiol, Sheffield, S Yorkshire, England
关键词
DIAGNOSIS; FETUSES;
D O I
10.1002/pd.5042
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
ObjectiveIn our earlier publication, we described the methods of acquiring 3D volume MR data in second and third trimester fetuses and provided normative data from a large cohort of normal fetuses. In this article, we show the applicability of the technique by describing five fetuses with a range of developmental brain abnormalities. MethodsThe five cases described in this report all had an intra-cranial abnormality recognised on prenatal ultrasonography, which precipitated referral for in utero MR imaging. This consisted of routine ultrafast 2D sequences and 3D volume imaging acquired using balanced steady-state imaging (Fast Imaging Employing Steady-state Imaging - FIESTA). The 3D data were used to reconstruct models of the fetal brains and hence derive representations of the surfaces of the brain and estimates of volumes of the intracranial compartments. Case studiesThese cases show several important features of relevance for diagnosing intracranial fetal pathology. Conclusions3D volume in utero MR imaging appears to be a promising method in the prenatal assessment of the fetal brain. We propose possible areas of future research that are required to assess the techniques potential to have clinical impact. (c) 2017 John Wiley & Sons, Ltd.
引用
收藏
页码:556 / 565
页数:10
相关论文
共 50 条
  • [31] Characteristics and clinical value of 3D MR imaging in the diagnosis of pulmonary embolism
    Hu, Jiashou
    Li, Zhongwei
    Qu, Yanyan
    Sun, Jinfeng
    Zhang, Guowei
    Zhang, Guanghui
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2016, 12 (03) : 1760 - 1764
  • [32] Cerebrovascular imaging with 3D MR DSA
    Turski, PA
    Frayne, R
    Carroll, TJ
    Korosec, FR
    Mckinnon, SG
    Grist, TM
    Mistretta, CA
    RIVISTA DI NEURORADIOLOGIA, 1998, 11 : 117 - 120
  • [33] Magnetic Resonance Imaging of the Monkey Fetal Brain In Utero
    Zhang, Xiaodong
    INVESTIGATIVE MAGNETIC RESONANCE IMAGING, 2022, 26 (04) : 177 - 190
  • [34] Assessment of Sulcation of the Fetal Brain in Cases of Isolated Agenesis of the Corpus Callosum Using In Utero MR Imaging
    Warren, D. J.
    Connolly, D. J. A.
    Griffiths, P. D.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2010, 31 (06) : 1085 - 1090
  • [35] MR and CT perfusion imaging of the brain: principles and clinical applications
    Grand, S.
    Lefournier, V.
    Krainik, A.
    Bessou, P.
    Tropres, I.
    Chabardes, S.
    Hoffmann, D.
    Le Bas, J-F
    JOURNAL DE RADIOLOGIE, 2007, 88 (03): : 444 - 471
  • [36] Advanced MR Imaging in Pediatric Brain Tumors, Clinical Applications
    Lequin, Maarten
    Hendrikse, Jeroen
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2017, 27 (01) : 167 - +
  • [37] Segmentation of MR images for 3D volume reconstruction
    Masero, V
    Silva, AM
    León-Rojas, JM
    Moreno, J
    METMBS'01: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES, 2001, : 458 - 462
  • [38] Lateral ventricular volume measurement by 3D MR hydrography in fetal ventriculomegaly and normal lateral ventricles
    Zhao, Si-xiu
    Xiao, Yun-hua
    Lv, Fu-rong
    Zhang, Zhi-wei
    Sheng, Bo
    Ma, Hong-li
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 48 (01) : 266 - 273
  • [39] SURGICAL SIMULATION OF PEDIATRIC BRAIN TUMORS USING VOLUME RENDERED 3D RECONSTRUCTION WITH FUSION IMAGES OF MULTIPLE HIGH-RESOLUTION 3D MR IMAGING TECHNIQUES
    Gomi, A.
    Oguma, H.
    Annou, T.
    Kawamura, Y.
    Miyata, S.
    Fujii, H.
    Fujita, A.
    Aihara, T.
    NEURO-ONCOLOGY, 2010, 12 (06) : II120 - II120
  • [40] Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging
    Warntjes, J. B. M.
    Lundberg, P.
    Tisell, A.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2023, 44 (08) : 910 - 915