Ground Truth Hardware Phantoms for Validation of Diffusion-Weighted MRI Applications

被引:49
|
作者
Pullens, Pim [1 ,2 ]
Roebroeck, Alard [1 ]
Goebel, Rainer [1 ,2 ]
机构
[1] Maastricht Univ, Maastricht Brain Imaging Ctr, Fac Psychol & Neurosci, Maastricht, Netherlands
[2] Brain Innovat BV, Maastricht, Netherlands
关键词
phantom; diffusion weighted imaging; validation; fiber tracking; FIBER-TRACKING; TENSOR; RESOLUTION; CONSTRUCTION;
D O I
10.1002/jmri.22243
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
Purpose: To quantitatively validate diffusion-weighted MRI (DW-MRI) applications, a hardware phantom containing crossing fibers at a sub-voxel level is presented. It is suitable for validation of a large spectrum of DW-MRI applications from acquisition to fiber tracking, which is an important recurrent issue in the field. Materials and Methods: Phantom properties were optimized to resemble properties of human white matter in terms of anisotropy, fractional anisotropy, and T(2). Sub-voxel crossings were constructed at angles of 30, 50, and 65 degrees, by wrapping polyester fibers, with a diameter close to axon diameter, into heat shrink tubes. We show our phantoms are suitable for the acquisition of DW-MRI data using a clinical protocol. Results: The phantoms can be used to succesfully estimate both the diffusion tensor and non-Gaussian diffusion models, and perform streamline fiber tracking. DOT (Diffusion Orientation Transform) and q-ball reconstruction of the diffusion profiles acquired at b = 3000 s/mm(2) and 132 diffusion directions reveal multimodal diffusion profiles in voxels containing crossing yarn strands. Conclusion: The highly purpose adaptable phantoms provide a DW-MRI validation platform: applications include optimisation of acquisition schemes, validation of non-Gaussian diffusion models, comparison and validation of fiber tracking algorithms, and quality control in multi-center DWI studies.
引用
收藏
页码:482 / 488
页数:7
相关论文
共 50 条
  • [21] Advances in breast MRI: diffusion-weighted imaging of the breast
    Yoshifumi Kuroki
    Katsuhiro Nasu
    Breast Cancer, 2008, 15 : 212 - 217
  • [22] Wernicke's encephalopathy: is diffusion-weighted MRI useful?
    J. Halavaara
    A. Brander
    J. Lyytinen
    K. Setälä
    M. Kallela
    Neuroradiology, 2003, 45 : 519 - 523
  • [23] Conventional and diffusion-weighted MRI of extrahepatic hydatid cysts
    Inan, Nagihan
    Akhun, Nilay
    Akansel, Guer
    Arslan, Arzu
    Ciftci, Ercuement
    Demirci, Ali
    DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY, 2010, 16 (02) : 168 - 174
  • [24] Eclamptic encephalopathy: MRI, including diffusion-weighted images
    Watanabe, Y
    Mitomo, M
    Tokuda, Y
    Yoshida, K
    Choi, S
    Hosoki, T
    Ban, C
    NEURORADIOLOGY, 2002, 44 (12) : 981 - 985
  • [25] The expanding landscape of diffusion-weighted MRI in prostate cancer
    Wibmer, Andreas G.
    Sala, Evis
    Hricak, Hedvig
    Vargas, Hebert Alberto
    ABDOMINAL RADIOLOGY, 2016, 41 (05) : 854 - 861
  • [26] Diffusion-weighted MRI Findings in a Patient with Pituitary Abscess
    Taguchi, Yoshiharu
    Yoshida, Koji
    Takashima, Shutaro
    Tanaka, Kortaro
    INTERNAL MEDICINE, 2012, 51 (06) : 683 - 683
  • [27] Application of diffusion-weighted MRI for endometrial cancer diagnosis
    Zhou, Y.
    Jiang, L.
    Nuerlan, T.
    EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY, 2018, 39 (04) : 655 - 658
  • [28] Diffusion-Weighted MRI of the Testis in Hydrocele: A Pilot Study
    Gulum, Mehmet
    Cece, Hasan
    Yeni, Ercan
    Savas, Murat
    Ciftci, Halil
    Karakas, Ekrem
    Celik, Hakim
    Yagmur, Ismail
    UROLOGIA INTERNATIONALIS, 2012, 89 (02) : 191 - 195
  • [29] Diffusion-weighted MRI in diffuse axonal injury of the brain
    Hergan, K
    Schaefer, PW
    Sorensen, AG
    Gonzalez, RG
    Huisman, TAGM
    EUROPEAN RADIOLOGY, 2002, 12 (10) : 2536 - +
  • [30] Advances in breast MRI: diffusion-weighted imaging of the breast
    Kuroki, Yoshifumi
    Nasu, Katsuhiro
    BREAST CANCER, 2008, 15 (03) : 212 - 217