Fiducial-Less Tracking for the Radiation Therapy of Liver Tumors Using Artificial Neural Networks

被引：0
|
作者：
Dick, D. [1 ]
Wu, X. [2 ]
Zhao, W. [1 ]
机构：
[1] Univ Miami, Miami, FL USA
[2] Biophysics Research Inst Amer, Aventura, FL USA
来源：
MEDICAL PHYSICS | 2018年 / 45卷 / 06期
关键词：
D O I：
暂无
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：
MO-E115-Ge
引用
收藏
页码：E415 / E415
页数：1
相关论文
共 50 条
  • [21] FIDUCIAL MARKER BASED CBCT GUIDED STEREOTACTIC RADIATION THERAPY FOR LIVER TUMORS EMPLOYING TRAJECTORY ESTIMATION
    Worm, E.
    Fledelius, W.
    Hoyer, M.
    Nielsen, J. E.
    Larsen, L. P. S.
    Poulsen, P. R.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2011, 99 : S185 - S185
  • [22] Using artificial neural networks to estimate solar radiation in Kuwait
    Bou-Rabee, Mohammed
    Sulaiman, Shaharin A.
    Saleh, Magdy Saad
    Marafi, Suhaila
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 72 : 434 - 438
  • [23] A review of solar radiation prediction using artificial neural networks
    Marzouq, Manal
    El Fadili, Hakim
    Lakhliai, Zakia
    Zenkouar, Khalid
    [J]. 2017 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS), 2017,
  • [24] Using the artificial neural networks for prediction and validating solar radiation
    Zahraa E. Mohamed
    [J]. Journal of the Egyptian Mathematical Society, 27 (1)
  • [25] Estimation of global solar radiation using artificial neural networks
    Mohandes, M
    Rehman, S
    Halawani, TO
    [J]. RENEWABLE ENERGY, 1998, 14 (1-4) : 179 - 184
  • [26] Retrospective assessment of a single fiducial marker tracking regimen with robotic stereotactic body radiation therapy for liver tumours
    Nakayama, Masao
    Uehara, Kazuyuki
    Nishimura, Hideki
    Tamura, Shuhei
    Munetomo, Yoshiki
    Tsudou, Shinji
    Mayahara, Hiroshi
    Mukumoto, Naritoshi
    Geso, Moshi
    Sasaki, Ryohei
    [J]. REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY, 2019, 24 (04) : 383 - 391
  • [27] Polarization Tracking and Optical Nonlinearity Compensation Using Artificial Neural Networks
    Kurokawa, Yuichiro
    Kyon, Takeru
    Nakamura, Moriya
    [J]. 2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020), 2020,
  • [28] Eye Tracking Using Artificial Neural Networks for Human Computer Interaction
    Demjen, E.
    Abosi, V.
    Tomori, Z.
    [J]. PHYSIOLOGICAL RESEARCH, 2011, 60 (05) : 841 - 844
  • [29] Automated eye tracking system calibration using artificial neural networks
    Coughlin, MJ
    Cutmore, TRH
    Hine, TJ
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2004, 76 (03) : 207 - 220
  • [30] Comparison of Target Delineation Methods in Dynamic Tumor Tracking Radiation Therapy for Lung Tumors Based on Internal Fiducial Markers
    Iizuka, Y.
    Matsuo, Y.
    Mitsuyoshi, T.
    Shintani, T.
    Mizowaki, T.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 99 (02): : E672 - E672
12345