Evaluation of an application for intensity-based deformable image registration and dose accumulation in radiotherapy

被引:26
|
作者
Thor, Maria [1 ,2 ]
Andersen, Else S. [2 ]
Petersen, Jorgen B. B. [2 ]
Sorensen, Thomas S. [3 ]
Noe, Karsten O. [4 ,5 ]
Tanderup, Kari [2 ]
Bentzen, Lise [3 ]
Elstrom, Ulrik V. [2 ]
Hoyer, Morten [3 ]
Muren, Ludvig P. [2 ,3 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10065 USA
[2] Aarhus Univ Hosp, Dept Med Phys, DK-8000 Aarhus, Denmark
[3] Aarhus Univ Hosp, Dept Oncol, DK-8000 Aarhus, Denmark
[4] Alexandra Inst, Comp Graph Lab, Aarhus, Denmark
[5] Aarhus Univ, Dept Comp Sci, DK-8000 Aarhus, Denmark
关键词
PROSTATE-CANCER; PLANNING ORGAN; LYMPH-NODES; RECTUM; MOTION; PREDICTION; MORBIDITY; PROPAGATION; ROBUSTNESS; THERAPY;
D O I
10.3109/0284186X.2014.928742
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background. Methods to accurately accumulate doses in radiotherapy (RT) are important for tumour and normal tissues being influenced by geometric uncertainties. The purpose of this study was to investigate a pre-release deformable image registration (DIR)-based dose accumulation application, in the setting of prostate RT. Material and methods. Initially accumulated bladder and prostate doses were assessed (based on 8-9 repeat CT scans/patient) for nine prostate cancer patients using an intensity-based DIR and dose accumulation algorithm as provided by the Dynamic Adaptive Radiation Therapy (DART) software. The accumulated bladder and prostate dose-volume histograms (DVHs) were compared on a range of parameters (paired Wilcoxon signed-rank test, 5% significance level) to DVHs derived using an in-house developed dose accumulation method based on biomechanical, contour-driven DIR (SurfaceRegistration). Finally, both these accumulated dose distributions were compared to the 'static' DVH, assessed from the planning CT. Results. Over the population, doses accumulated with DART were overall lower than those from SurfaceRegistration (p<0.05: D-2%, gEUD and NTCP (bladder); D-min (prostate)). The magnitude of these differences peaked for the bladder gEUD with a population median of 47 Gy for DART versus 57 Gy for SurfaceRegistration. Across the ten bladder dose/volume parameters investigated, the most pronounced individual differences were observed between the 'accumulated' DVHs and the 'static' DVHs, with deviations in mean dose up to 22 Gy. Conclusion. Substantial and significant differences were observed in the dose distributions between the two investigated DIR-based dose accumulation applications. The most pronounced individual differences were seen for the bladder and relative to the planned dose distribution, encouraging the use of repeat imaging data in RT planning and evaluation for this organ.
引用
收藏
页码:1329 / 1336
页数:8
相关论文
共 50 条
  • [41] INTENSITY-BASED WASSERSTEIN DISTANCE AS A LOSS MEASURE FOR UNSUPERVISED DEFORMABLE DEEP REGISTRATION
    Shams, Roozbeh
    Le, William
    Weihs, Adrien
    Kadoury, Samuel
    2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 252 - 256
  • [42] Assessment of Dose Accumulation with Different Deformable Image Registration Algorithms for Image-Guided Radiotherapy of Head and Neck Cancer
    Dogan, N.
    Sleeman, W.
    Asher, D.
    Fatyga, M.
    Schutzer, M.
    Song, S.
    MEDICAL PHYSICS, 2013, 40 (06)
  • [43] Two Quality Assurance Metrics for Deformable Image Registration-Based Dose Accumulation
    Kainz, K.
    Zhong, H.
    Tai, A.
    Ahunbay, E. E.
    Li, A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E275 - E276
  • [44] Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery
    Castillo, Edward
    MEDICAL PHYSICS, 2019, 46 (05) : 2194 - 2203
  • [45] An Anthropopathic Deformable Phantom for Geometric and Dose Accumulation Accuracy Validation of Deformable Image Registration
    Liao, Y.
    Chen, H.
    Chen, J.
    Gu, X.
    Zhen, X.
    Zhou, L.
    MEDICAL PHYSICS, 2016, 43 (06) : 3884 - 3884
  • [46] Intensity-based image registration using robust correlation coefficients
    Kim, J
    Fessler, JA
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (11) : 1430 - 1444
  • [47] Bacterial Foraging Optimization For Intensity-based Medical Image Registration
    Bermejo, Enrique
    Valsecchi, Andrea
    Damas, Sergio
    Cordon, Oscar
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 2436 - 2443
  • [48] Coral Reef Optimization for Intensity-based Medical Image Registration
    Bermejo, Enrique
    Chica, Manuel
    Salcedo Sanz, Sancho
    Cordon, Oscar
    2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2017, : 533 - 540
  • [49] Structure-based deformable image registration: Added value for dose accumulation of external beam radiotherapy and brachytherapy in cervical cancer
    van Heerden, Laura E.
    Houweling, Antonetta C.
    Koedooder, Kees
    van Kesteren, Zdenko
    van Wieringen, Niek
    Rasch, Coenraad R. N.
    Pieters, Bradley R.
    Bel, Arjan
    RADIOTHERAPY AND ONCOLOGY, 2017, 123 (02) : 319 - 324
  • [50] Four-dimensional dose evaluation using deformable image registration in radiotherapy for liver cancer
    Jung, Sang Hoon
    Yoon, Sang Min
    Park, Sung Ho
    Cho, Byungchul
    Park, Jae Won
    Jung, Jinhong
    Park, Jin-hong
    Kim, Jong Hoon
    Ahn, Seung Do
    MEDICAL PHYSICS, 2013, 40 (01)