Enabling automated magnetic resonance imaging-based targeting assessment during dipole field navigation

被引:19
|
作者
Latulippe, Maxime [1 ]
Felfoul, Ouajdi [2 ]
Dupont, Pierre E. [2 ]
Martel, Sylvain [1 ]
机构
[1] Polytech Montreal, Inst Biomed Engn, Dept Comp & Software Engn, Quebec City, PQ H3T 1J4, Canada
[2] Harvard Univ, Sch Med, Dept Cardiac Surg, Boston Childrens Hosp, Boston, MA 02115 USA
基金
美国国家科学基金会;
关键词
IN-VIVO; METAL;
D O I
10.1063/1.4941925
中图分类号
O59 [应用物理学];
学科分类号
摘要
The magnetic navigation of drugs in the vascular network promises to increase the efficacy and reduce the secondary toxicity of cancer treatments by targeting tumors directly. Recently, dipole field navigation (DFN) was proposed as the first method achieving both high field and high navigation gradient strengths for whole-body interventions in deep tissues. This is achieved by introducing large ferromagnetic cores around the patient inside a magnetic resonance imaging (MRI) scanner. However, doing so distorts the static field inside the scanner, which prevents imaging during the intervention. This limitation constrains DFN to open-loop navigation, thus exposing the risk of a harmful toxicity in case of a navigation failure. Here, we are interested in periodically assessing drug targeting efficiency using MRI even in the presence of a core. We demonstrate, using a clinical scanner, that it is in fact possible to acquire, in specific regions around a core, images of sufficient quality to perform this task. We show that the core can be moved inside the scanner to a position minimizing the distortion effect in the region of interest for imaging. Moving the core can be done automatically using the gradient coils of the scanner, which then also enables the core to be repositioned to perform navigation to additional targets. The feasibility and potential of the approach are validated in an in vitro experiment demonstrating navigation and assessment at two targets. (C) 2016 AIP Publishing LLC.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy
    Leung, Doris G.
    MUSCLE & NERVE, 2019, 60 (04) : 347 - 360
  • [22] Magnetic Resonance Imaging-Based Grading of Cartilaginous Bone Tumors
    Krome, Susanne
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2019, 191 (07): : 609 - 609
  • [23] Magnetic resonance imaging-based evaluation of ossification of the medial clavicular epiphysis in forensic age assessment
    Schmidt, S.
    Ottow, C.
    Pfeiffer, H.
    Heindel, W.
    Vieth, V.
    Schmeling, A.
    Schulz, R.
    INTERNATIONAL JOURNAL OF LEGAL MEDICINE, 2017, 131 (06) : 1665 - 1673
  • [24] Assessment of active inflammation in juvenile dermatomyositis: a novel magnetic resonance imaging-based scoring system
    Davis, Warren R.
    Halls, James E.
    Offiah, Amaka C.
    Pilkington, Clarissa
    Owens, Catherine M.
    Rosendahl, Karen
    RHEUMATOLOGY, 2011, 50 (12) : 2237 - 2244
  • [25] Magnetic resonance imaging-based evaluation of ossification of the medial clavicular epiphysis in forensic age assessment
    S. Schmidt
    C. Ottow
    H. Pfeiffer
    W. Heindel
    V. Vieth
    A. Schmeling
    R. Schulz
    International Journal of Legal Medicine, 2017, 131 : 1665 - 1673
  • [26] Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation
    Dai, Jing
    Wang, Xiaomei
    Li, Yingqi
    Liu, Zhiyu
    Ng, Yui-Lun
    Xiao, Jiaren
    Fan, Joe King Man
    Lam, James
    Dou, Qi
    Vardhanabhuti, Varut
    Kwok, Ka-Wai
    ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (09)
  • [27] Magnetic resonance imaging-based pathogenic investigation of patellar instability
    SongYi-Fan
    WangXue-Ying
    NiuYing-Zhen
    DongZhen-Yue
    QiJian-Chao
    WangFei
    中华医学杂志英文版, 2019, 132 (16) : 1998 - 1999
  • [28] Magnetic resonance imaging-based management of silent cardiac rupture
    Porto, Andrea Giuseppe
    McAlindon, Elisa
    Ascione, Raimondo
    Bucciarelli-Ducci, Chiara
    JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 2015, 149 (03): : E31 - E34
  • [29] Parallel Imaging-Based Reduction of Acoustic Noise for Clinical Magnetic Resonance Imaging
    Pierre, Eric Y.
    Grodzki, David
    Aandal, Gunhild
    Heismann, Bjoern
    Badve, Chaitra
    Gulani, Vikas
    Sunshine, Jeffrey L.
    Schluchter, Mark
    Liu, Kecheng
    Griswold, Mark A.
    INVESTIGATIVE RADIOLOGY, 2014, 49 (09) : 620 - 626
  • [30] Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part
    Wang, Chengyan
    Li, Yan
    Lv, Jun
    Jin, Jianhua
    Hu, Xumei
    Kuang, Xutong
    Chen, Weibo
    Wang, He
    PHENOMICS, 2021, 1 (04): : 151 - 170