An MRI-based mid-ventilation approach for radiotherapy of the liver

被引:17
|
作者
van de Lindt, Tessa N. [1 ]
Schubert, Gerald [2 ]
van der Heide, Uulke A. [1 ]
Sonke, Jan-Jakob [1 ]
机构
[1] Netherlands Canc Inst, Dept Radiat Oncol, Amsterdam, Netherlands
[2] Philips, MR Therapy, Vantaa, Finland
关键词
Respiratory motion; Mid-ventilation; MRI; Liver; MR-linac; ORGAN MOTION; CT SCANS; REGISTRATION;
D O I
10.1016/j.radonc.2016.10.020
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
MRI is increasingly being used in radiotherapy of the liver. The purpose of this study was to develop and validate a strategy to acquire MR images for treatment planning and image guidance in the presence of respiratory motion. By interleaving two navigator triggered MRI sequences, a fast but low-resolution image in mid ventilation (midV) and a high-resolution image in exhale were acquired efficiently. Deformable registration was applied to map the exhale image to the midV anatomy. Cine-MRI scans were acquired for motion quantification. The method was validated with a motion phantom, 10 volunteers and 1 patient with a liver tumor. The time-weighted mean position of a local structure in a cine-scan was defined as the midV-position ground truth and used to determine the accuracy of the midV-triggering method. Deformable registration accuracy was validated using the SIFT algorithm. Acquisition time of the midV/exhale-scan was 3-5 min. The accuracy of the midV-position was <= 0.5 +/- 0.5 mm for phantom motion and <= 0.9 +/- 1.2 mm for the volunteers. Mean residuals after deform able registration were <= 0.2 +/- 1.8 mm. The accuracy and reproducibility of the method are within inter and intra-fraction liver position variability (Case et al., 2009) and could in the future be incorporated in a conventional liver radiotherapy or MR-linac workflow. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:276 / 280
页数:5
相关论文
共 50 条
  • [1] An MRI based mid-ventilation approach for radiotherapy of liver cancer on an MR-linac
    Van de Lindt, T.
    Schubert, G.
    Van der Heide, U.
    Sonke, J. J.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S67 - S67
  • [2] MID-VENTILATION BASED PTV MARGINS IN STEREOTACTIC ABLATIVE RADIOTHERAPY (SABR): A CLINICAL EVALUATION
    Peulen, H.
    Belderbos, J.
    Rossi, M.
    Sonke, J.
    JOURNAL OF THORACIC ONCOLOGY, 2012, 7 (06) : S53 - S53
  • [3] Mid-ventilation based PTV margins in Stereotactic Body Radiotherapy (SBRT): A clinical evaluation
    Peulen, Heike
    Belderbos, Jose
    Rossi, Maddalena
    Sonke, Jan-Jakob
    RADIOTHERAPY AND ONCOLOGY, 2014, 110 (03) : 511 - 516
  • [4] MRI-Based Radiotherapy
    Mcdonald, F.
    JOURNAL OF THORACIC ONCOLOGY, 2019, 14 (10) : S53 - S53
  • [5] MRI-Based Treatment Planning for Liver Photon and Proton Radiotherapy
    Liu, Y.
    Lei, Y.
    Wang, T.
    Wang, Y.
    Kayode, O.
    Tian, S.
    Lin, L.
    Liu, T.
    Patel, P.
    Curran, W.
    Zhou, J.
    Ren, L.
    Yang, X.
    MEDICAL PHYSICS, 2019, 46 (06) : E318 - E319
  • [6] MRI-based radiotherapy planning
    Largent, A.
    Nunes, J. -C.
    Lafond, C.
    Perichon, N.
    Castelli, J.
    Rolland, Y.
    Acosta, O.
    de Crevoisier, R.
    CANCER RADIOTHERAPIE, 2017, 21 (08): : 788 - 798
  • [7] Implementation of mid-ventilation scan for lung SABR planning
    Brooke, Sarah
    Jayaprakash, Thippu
    Kamalram
    Shiarli, Anna
    Gilligan, David
    Martin, Alexander
    Yang, Huiqi
    Gleeson, Ian
    Kirby, Rachel
    LUNG CANCER, 2023, 178 : S56 - S56
  • [8] Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning
    Bredfeldt, Jeremy S.
    Liu, Lianli
    Feng, Mary
    Cao, Yue
    Balter, James M.
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (08): : 2922 - 2934
  • [9] MRI-Based Radiotherapy Treatment Planning In Pelvis
    Hsu, S.
    Cao, Y.
    Jolly, S.
    Balter, J.
    MEDICAL PHYSICS, 2014, 41 (06) : 99 - 99
  • [10] An evaluation of the mid-ventilation method for the planning of stereotactic lung plans
    Thomas, Simon J.
    Evans, Barry J.
    Harihar, Lakshmi
    Chantler, Hannah J.
    Martin, Alexander G. R.
    Harden, Susan V.
    RADIOTHERAPY AND ONCOLOGY, 2019, 137 : 110 - 116