Cyclegan Based Synthetic CT Model from Cone-Beam CT Images of Pelvic Patients for Adaptive Radiotherapy

被引：0
|
作者：
Anbumani, S. [1 ]
Paulson, E. S. [1 ]
Xu, J. [2 ]
Pan, A. [3 ]
Thill, D. [2 ]
O'Connell, N. [4 ]
Shukla, M. E. [1 ]
Omari, E. A. [1 ]
机构：
[1] Med Coll Wisconsin, Dept Radiat Oncol, Milwaukee, WI USA
[2] Elekta Inc, St Charles, MO USA
[3] Elekta Ltd, Linac House, Crawley, West Sussex, England
[4] Elekta Inc, St Louis, MO USA
来源：
MEDICAL PHYSICS | 2024年 / 51卷 / 10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：
TU300-GPD(
引用
收藏
页码：7777 / 7778
页数：2
相关论文
共 50 条
  • [1] Deep Learning Based Synthetic CT Images Generated from Cone-Beam CT Using CycIeGAN Model for Thoracic Cancer Adaptive Radiotherapy
    Anbumani, S.
    Paulson, E. S.
    Xu, J.
    Pan, A.
    Thill, D.
    O'Connell, N.
    Puckett, L.
    Shukla, M. E.
    Omari, E. A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E95 - E95
  • [2] CycleGAN-Based Cone-Beam CT Correction for Adaptive Proton Therapy of Pediatric Patients
    Uh, J.
    Wang, C.
    Acharya, S.
    Hua, C.
    MEDICAL PHYSICS, 2020, 47 (06) : E371 - E371
  • [3] Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy
    Wang, Xuetao
    Jian, Wanwei
    Zhang, Bailin
    Zhu, Lin
    He, Qiang
    Jin, Huaizhi
    Yang, Geng
    Cai, Chunya
    Meng, Haoyu
    Tan, Xiang
    Li, Fei
    Dai, Zhenhui
    JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2022, 15 (01) : 275 - 282
  • [4] Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy
    Wang, X.
    Jian, W.
    Zhou, X.
    Meng, H.
    Chen, Y.
    Yang, G.
    Zhang, S.
    Wang, Z.
    Tan, X.
    Dai, Z.
    RADIOTHERAPY AND ONCOLOGY, 2021, 161 : S583 - S584
  • [5] Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy
    Sun, Hongfei
    Fan, Rongbo
    Li, Chunying
    Lu, Zhengda
    Xie, Kai
    Ni, Xinye
    Yang, Jianhua
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [6] Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy
    Fu, Yabo
    Lei, Yang
    Wang, Tonghe
    Tian, Sibo
    Patel, Pretesh
    Jani, Ashesh B.
    Curran, Walter J.
    Liu, Tian
    Yang, Xiaofeng
    MEDICAL PHYSICS, 2020, 47 (08) : 3415 - 3422
  • [7] Dose calculation accuracy using cone-beam CT (CBCT) for pelvic adaptive radiotherapy
    Guan, Huaiqun
    Dong, Hang
    PHYSICS IN MEDICINE AND BIOLOGY, 2009, 54 (20): : 6239 - 6250
  • [8] Comparison of Enhanced Cone-Beam CT Using Next Generation Reconstruction with Deep Learning- Based Synthetic CT for Adaptive Radiotherapy in Pelvic Cancers
    Anbumani, S.
    Paulson, E. S.
    Xu, J.
    Pan, A.
    Thill, D.
    O'Connell, N.
    Puckett, L.
    Shukla, M. E.
    Omari, E. A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : S161 - S162
  • [9] Visual enhancement of Cone-beam CT by use of CycleGAN
    Kida, Satoshi
    Kaji, Shizuo
    Nawa, Kanabu
    Imae, Toshikazu
    Nakamoto, Takahiro
    Ozaki, Sho
    Ohta, Takeshi
    Nozawa, Yuki
    Nakagawa, Keiichi
    MEDICAL PHYSICS, 2020, 47 (03) : 998 - 1010
  • [10] Improving soft tissue contrast in megavoltage cone-beam CT images for adaptive radiotherapy
    Reitz, B.
    Gayou, O.
    Johnson, M.
    Parda, D.
    Miften, M.
    MEDICAL PHYSICS, 2007, 34 (06) : 2607 - 2608
12345