Study of MRI susceptibility artifacts for nanomedical applications

被引:4
|
作者
Wortmann T. [1 ]
Dahmen C. [1 ]
Fatikow S. [1 ]
机构
[1] Department of Computing Science, Division Microrobotics Control Engineering, University of Oldenburg -KISUM
关键词
D O I
10.1115/1.4002501
中图分类号
学科分类号
摘要
This article deals with the exploitation of magnetic susceptibility artifacts in magnetic resonance imaging (MRI) for the recognition of metallic delivery capsules. The targeted application is a closed-loop position control of magnetic objects implemented using the components of a clinical MRI scanner. Actuation can be performed by switching the magnetic gradient fields, whereas object locations are detected by an analysis of the MRI scans. A comprehensive investigation of susceptibility artifacts with a total number of 108 experimental setups has been performed in order to study scaling laws and the impact of object properties and imaging parameters. In addition to solid metal objects, a suspension of superparamagnetic nanoparticles has been examined. All 3D scans have been segmented automatically for artifact quantification and location determination. Analysis showed a characteristic shape for all three base types of sequences, which is invariant to the magnetic object shape and material. Imaging parameters such as echo time and flip angle have a moderate impact on the artifact volume but do not modify the characteristic artifact shape. The nanoparticle agglomerates produce imaging artifacts similar to the solid samples. Based on the results, a two-stage recognition/tracking procedure is proposed. © 2010 by ASME.
引用
收藏
相关论文
共 50 条
  • [11] Gradient compensated reverse spiral acquisition for reducing susceptibility artifacts in functional MRI
    Stenger, VA
    Yang, Q
    Boada, F
    Noll, D
    NEUROIMAGE, 2001, 13 (06) : S43 - S43
  • [12] Magnetic Susceptibility Artifacts by Air Space in Lumbar MRI Sagittal Fat Suppression
    Jeon, Hyun-Soo
    Cho, Seong-Bong
    Han, Dong-Kyoon
    Lee, Young-Jin
    Chung, Eun-Bin
    Heo, Yeong-Cheol
    JOURNAL OF MAGNETICS, 2017, 22 (04) : 671 - 675
  • [13] Susceptibility artifacts in lipomas
    Lingegowda, Dayananda
    Rajashekar, Chandana
    Belaval, Vinay Venkanna
    Thomas, Bejoy
    Keshavdas, Chandrasekharan
    Kapilamoorthy
    NEUROLOGY INDIA, 2013, 61 (01) : 56 - 59
  • [14] Synthesis,functionalization,and nanomedical applications of functional magnetic nanoparticles
    Zhou Chen
    Cao Wu
    Zhenfeng Zhang
    Wangping Wu
    Xuefeng Wang
    Zhiqiang Yu
    Chinese Chemical Letters, 2018, 29 (11) : 1601 - 1608
  • [15] MRI following scoliosis surgery? An analysis of implant heating, displacement, torque, and susceptibility artifacts
    Heinrich, Andreas
    Reinhold, Maximilian
    Guttler, Felix V.
    Matziolis, Georg
    Teichgraber, Ulf K. -M.
    Zippelius, Timo
    Strube, Patrick
    EUROPEAN RADIOLOGY, 2021, 31 (06) : 4298 - 4307
  • [16] MRI following scoliosis surgery? An analysis of implant heating, displacement, torque, and susceptibility artifacts
    Andreas Heinrich
    Maximilian Reinhold
    Felix V. Güttler
    Georg Matziolis
    Ulf K.-M. Teichgräber
    Timo Zippelius
    Patrick Strube
    European Radiology, 2021, 31 : 4298 - 4307
  • [17] Optimization of Cooperative Relaying Molecular Communications for Nanomedical Applications
    Attia, Eman S.
    Khalaf, Ashraf A. M.
    Abd El-Samie, Fathi E.
    Abd El-atty, Saied M.
    Lizos, Konstantinos A.
    Alfarraj, Osama
    El-Hoseny, Heba M.
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2024, 138 (02): : 1259 - 1275
  • [18] The advanced role of carbon quantum dots in nanomedical applications
    Devi, Pooja
    Saini, Shefali
    Kim, Ki-Hyun
    BIOSENSORS & BIOELECTRONICS, 2019, 141
  • [19] Inadequacy of motion correction algorithms in functional MRI: Role of susceptibility-induced artifacts
    Wu, DH
    Lewin, JS
    Duerk, JL
    JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING, 1997, 7 (02): : 365 - 370
  • [20] Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI
    Wang, Sijia
    Peterson, Daniel J.
    Gatenby, J. C.
    Li, Wenbin
    Grabowski, Thomas J.
    Madhyastha, Tara M.
    FRONTIERS IN NEUROINFORMATICS, 2017, 11