A Patient-Specific Approach for Estimating the Voxel-Level Uncertainty Distribution of Deformable Image Registration in Adaptive Radiotherapy

被引：0
|
作者：
Meyer, S. [1 ]
Alam, S. [1 ]
Kuo, L. [1 ]
Hu, Y. [1 ]
Cervino, L. [1 ]
Zhang, P. [1 ]
机构：
[1] Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA
来源：
MEDICAL PHYSICS | 2022年 / 49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-H345-Ie
引用
收藏
页码：E323 / E323
页数：1
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  • [1] Patient-specific voxel-level dose prescription for prostate cancer radiotherapy considering tumor cell density and grade distribution
    Zhao, Yutong
    Haworth, Annette
    Reynolds, Hayley M.
    Her, Emily J.
    Sun, Yu
    Finnegan, Robert
    Rowshanfarzad, Pejman
    Ebert, Martin A.
    [J]. MEDICAL PHYSICS, 2023, 50 (06) : 3746 - 3761
  • [2] An automated patient-specific and quantitative approach for deformable image registration evaluation
    Kierkels, R. G.
    Brouwer, C. L.
    Steenbakkers, R. J.
    Bijl, H. P.
    Langendijk, J. A.
    Sijtsema, N. M.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2016, 119 : S29 - S30
  • [3] Evaluating the Quality of Patient-Specific Deformable Image Registration in Adaptive Radiotherapy Using a Digitally Enhanced Head and Neck Phantom
    Cagni, Elisabetta
    Botti, Andrea
    Orlandi, Matteo
    Galaverni, Marco
    Iotti, Cinzia
    Iori, Mauro
    Lewis, Geraint
    Spezi, Emiliano
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [4] Patient-Specific Deep Learning Model for Deformable Image Registration
    Amini, S.
    Jiang, Z.
    Chang, Y.
    Mowery, Y.
    Ren, L.
    [J]. MEDICAL PHYSICS, 2020, 47 (06) : E433 - E433
  • [5] Learning anatomy changes from patient populations to create artificial CT images for voxel-level validation of deformable image registration
    Yu, Z. Henry
    Kudchadker, Rajat
    Dong, Lei
    Zhang, Yongbin
    Court, Laurence E.
    Mourtada, Firas
    Yock, Adam
    Tucker, Susan L.
    Yang, Jinzhong
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2016, 17 (01): : 246 - 258
  • [6] An Automated Workflow for Patient-Specific Verification of Deformable Image Registration
    Kirby, N.
    Morin, O.
    Ueda, U.
    Nie, K.
    Chen, J.
    Pouliot, J.
    [J]. MEDICAL PHYSICS, 2013, 40 (06)
  • [7] Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy
    Stanley, Nick
    Glide-Hurst, Carri
    Kim, Jinkoo
    Adams, Jeffrey
    Li, Shunshan
    Wen, Ning
    Chetty, Indrin J.
    Zhong, Hualiang
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2013, 14 (06): : 177 - 194
  • [8] The Potential for Patient-Specific, Automated Evaluation of Deformable Image Registration Accuracy
    Kirby, N.
    Morin, O.
    Nie, K.
    Chen, J.
    Pouliot, J.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S878 - S878
  • [9] Patient-Specific Quality Assurance of Deformable Image Registrations Using Atlas for Adaptive Radiotherapy of Lung Cancer
    Alam, S. R.
    Meyer, S.
    Kuo, L.
    Hu, Y. C.
    Lu, W.
    Yorke, E. D.
    Rimner, A.
    Cervino, L. I.
    Zhang, P.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E582 - E582
  • [10] Patient-specific validation of deformable image registration in radiation therapy: Overview and caveats
    Paganelli, Chiara
    Meschini, Giorgia
    Molinelli, Silvia
    Riboldi, Marco
    Baroni, Guido
    [J]. MEDICAL PHYSICS, 2018, 45 (10) : E908 - E922
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