Development of a Computerized 4-D MRI Phantom for Liver Motion Study

被引:6
|
作者
Wang, Chunhao [1 ]
Yin, Fang-Fang [1 ,2 ]
Segars, W. P. [3 ]
Chang, Zheng [1 ]
Ren, Lei [1 ,2 ]
机构
[1] Duke Univ, Med Ctr, Dept Radiat Oncol, Durham, NC 27710 USA
[2] Duke Kunshan Univ, Med Phys Grad Program, Kunshan, Jiangsu, Peoples R China
[3] Duke Univ, Med Ctr, Dept Radiol, Durham, NC 27710 USA
基金
美国国家卫生研究院;
关键词
MRI; computerized phantom; liver; organ motion; deformable registration; PHARMACOKINETIC ANALYSIS; ORGAN MOTION; XCAT; SIMULATION; THERAPY; HEAD;
D O I
10.1177/1533034617723753
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To develop a 4-dimensional computerized magnetic resonance imaging phantom with image textures extracted from real patient scans for liver motion studies. Methods: The proposed phantom was developed based on the current version of 4-dimensional extended cardiac-torso computerized phantom and a clinical magnetic resonance scan. Initially, the extended cardiac-torso phantom was voxelized in abdominal-chest region at the end of exhalation phase. Structures/tissues were classified into 4 categories: (1) Seven key textured organs, including liver, gallbladder, spleen, stomach, heart, kidneys, and pancreas, were mapped from a clinical T1-weighted liver magnetic resonance scan using deformable registration. (2) Large textured soft tissue volumes were simulated via an iterative pattern generation method using the same magnetic resonance scan. (3) Lung and intestine structures were generated by assigning uniform intensity with proper noise modeling. (4) Bony structures were generated by assigning the magnetic resonance values. A spherical hypointensity tumor was inserted into the liver. Other respiratory phases of the 4-dimensional phantom were generated using the backward deformation vector fields exported by the extended cardiac-torso program, except that bony structures were generated separately for each phase. A weighted image filtering process was utilized to improve the overall tissue smoothness at each phase. Results: Three 4-dimensional series with different motion amplitudes were generated. The developed motion phantom produced good illustrations of abdominal-chest region with anatomical structures in key organs and texture patterns in large soft tissue volumes. In a standard series, the tumor volume was measured as 13.90 0.11 cm(3) in a respiratory cycle and the tumor's maximum center-of-mass shift was 2.95 cm/1.84 cm on superior-inferior/anterior-posterior directions. The organ motion during the respiratory cycle was well rendered. The developed motion phantom has the flexibility of motion pattern variation, organ geometry variation, and tumor modeling variation. Conclusions: A 4-D computerized phantom was developed and could be used to produce image series with synthetic magnetic resonance textures for magnetic resonance imaging research of liver motion.
引用
收藏
页码:1051 / 1059
页数:9
相关论文
共 50 条
  • [21] Mapping motion from 4D-MRI to 3D-CT for use in 4D dose calculations: A technical feasibility study
    Boye, Dirk
    Lomax, Tony
    Knopf, Antje
    MEDICAL PHYSICS, 2013, 40 (06)
  • [22] Realistic 4D MRI abdominal phantom for the evaluation and comparison of acquisition and reconstruction techniques
    Lo, Wei-Ching
    Chen, Yong
    Jiang, Yun
    Hamilton, Jesse
    Grimm, Robert
    Griswold, Mark
    Gulani, Vikas
    Seiberlich, Nicole
    MAGNETIC RESONANCE IN MEDICINE, 2019, 81 (03) : 1863 - 1875
  • [23] Probability-based 3D k-space sorting for motion robust 4D-MRI
    Sun, Duohua
    Liang, Xiao
    Yin, Fangfang
    Cai, Jing
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2019, 9 (07) : 1326 - 1336
  • [24] Gadolinium-enhanced multiphasic 3D MRI of the liver with prospective adaptive navigator correction: Phantom study and preliminary clinical evaluation
    Kanematsu, Masayuki
    Goshima, Satoshi
    Kondo, Hiroshi
    Tsuge, Yusuke
    Yokoyama, Ryujiro
    Kajita, Kimihiro
    Onozuka, Minoru
    Suzuki, Yuriko
    Van Cauteren, Marc
    Moriyama, Noriyuki
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2007, 188 (04) : W309 - W316
  • [25] A Spatiotemporal-Constrained Sorting Method for Motion-Robust 4D-MRI: A Feasibility Study
    Wang, Chunhao
    Subashi, Ergys
    Yin, Fang-Fang
    Chang, Zheng
    Cai, Jing
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 103 (03): : 758 - 766
  • [26] Retrospective self-sorted 4D-MRI for the liver
    van de Lindt, Tessa N.
    Fast, Martin F.
    van der Heide, Uulke A.
    Sonke, Jan-Jakob
    RADIOTHERAPY AND ONCOLOGY, 2018, 127 (03) : 474 - 480
  • [27] Deformable Registration-Based Super-resolution for Isotropic Reconstruction of 4-D MRI Volumes
    Chilla, Geetha Soujanya V. N.
    Tan, Cher Heng
    Poh, Chueh Loo
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2017, 21 (06) : 1617 - 1624
  • [28] A fast volumetric 4D-MRI with sub-second frame rate for abdominal motion monitoring and characterization in MRI-guided radiotherapy
    Yuan, Jing
    Wong, Oi Lei
    Zhou, Yiliang
    Chueng, Kin Yin
    Yu, Siu Ki
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2019, 9 (07) : 1303 - 1314
  • [29] A hybrid approach for fusing 4D-MRI temporal information with 3D-CT for the study of lung and lung tumor motion
    Yang, Y. X.
    Teo, S. -K.
    Van Reeth, E.
    Tan, C. H.
    Tham, I. W. K.
    Poh, C. L.
    MEDICAL PHYSICS, 2015, 42 (08) : 4484 - 4496
  • [30] Evaluation of COPD's Diaphragm Motion Extracted from 4D-MRI
    Swastika, Windra
    Masuda, Yoshitada
    Kawata, Naoko
    Matsumoto, Koji
    Suzuki, Toshio
    Iesato, Ken
    Tada, Yuji
    Sugiura, Toshihiko
    Tanabe, Nobuhiro
    Tatsumi, Koichiro
    Ohnishi, Takashi
    Haneishi, Hideaki
    MEDICAL IMAGING 2015: IMAGE PROCESSING, 2015, 9413