Development of a multi-layer quality assurance program to evaluate the uncertainty of deformable dose accumulation in adaptive radiotherapy

被引:6
|
作者
Zhong, Hualiang [1 ,2 ]
Garcia-Alvarez, Juan A. [1 ]
Kainz, Kristofer [1 ]
Tai, An [1 ]
Ahunbay, Ergun [1 ]
Erickson, Beth [1 ]
Schultz, Christopher J. [1 ]
Li, X. Allen [1 ]
机构
[1] Med Coll Wisconsin, Dept Radiat Oncol, Milwaukee, WI USA
[2] Med Coll Wisconsin, Dept Radiat Oncol, Milwaukee, WI 53226 USA
关键词
adaptive radiotherapy; deformable image registration; dose accumulation; quality assurance; IMAGE REGISTRATION; INVERSE-CONSISTENCY; ALGORITHMS;
D O I
10.1002/mp.16137
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
PurposeDeformable dose accumulation (DDA) has uncertainties which impede the implementation of DDA-based adaptive radiotherapy (ART) in clinic. The purpose of this study is to develop a multi-layer quality assurance (MLQA) program to evaluate uncertainties in DDA. MethodsA computer program is developed to generate a pseudo-inverse displacement vector field (DVF) for each deformable image registration (DIR) performed in Accuray's PreciseART. The pseudo-inverse DVF is first used to calculate a pseudo-inverse consistency error (PICE) and then implemented in an energy and mass congruent mapping (EMCM) method to reconstruct a deformed dose. The PICE is taken as a metric to estimate DIR uncertainties. A pseudo-inverse dose agreement rate (PIDAR) is used to evaluate the consequence of the DIR uncertainties in DDA and the principle of energy conservation is used to validate the integrity of dose mappings. The developed MLQA program was tested using the data collected from five representative cancer patients treated with tomotherapy. ResultsDIRs were performed in PreciseART to generate primary DVFs for the five patients. The fidelity index and PICE of these DVFs on average are equal to 0.028 mm and 0.169 mm, respectively. With the criteria of 3 mm/3% and 5 mm/5%, the PIDARs of the PreciseART-reconstructed doses are 73.9 +/- 4.4% and 87.2 +/- 3.3%, respectively. The PreciseART and EMCM-based dose reconstructions have their deposited energy changed by 5.6 +/- 3.9% and 2.6 +/- 1.5% in five GTVs, and by 9.2 +/- 7.8% and 4.7 +/- 3.6% in 30 OARs, respectively. ConclusionsA pseudo-inverse map-based EMCM program has been developed to evaluate DIR and dose mapping uncertainties. This program could also be used as a sanity check tool for DDA-based ART.
引用
收藏
页码:1766 / 1778
页数:13
相关论文
共 50 条
  • [41] Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net
    Yan, Shunyu
    Maniscalco, Austen
    Wang, Biling
    Nguyen, Dan
    Jiang, Steve
    Shen, Chenyang
    MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2024, 5 (04):
  • [42] Phantom-based Quality Assurance of a Clinical Dose Accumulation Technique Used in an Online Adaptive Radiation Therapy Platform
    Maraghechi, Borna
    Mazur, Thomas
    Lam, Dao
    Price, Alex
    Henke, Lauren
    Kim, Hyun
    Hugo, Geoffrey D.
    Cai, Bin
    ADVANCES IN RADIATION ONCOLOGY, 2023, 8 (03)
  • [43] Development of a fast Monte Carlo dose calculation system for online adaptive radiation therapy quality assurance
    Wang, Yuhe
    Mazur, Thomas R.
    Park, Justin C.
    Yang, Deshan
    Mutic, Sasa
    Li, H. Harold
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (12): : 4970 - 4990
  • [44] Development of a Fast Monte Carlo Dose Calculation System for Online Adaptive Radiation Therapy Quality Assurance
    Wang, Y.
    Mazur, T.
    Park, J.
    Yang, D.
    Mutic, S.
    Li, H.
    MEDICAL PHYSICS, 2017, 44 (06) : 3130 - 3131
  • [45] Evaluation of Deformable Image Registration-Based Dose Accumulation for Parotid Glands in Head and Neck Adaptive Radiotherapy and its Impact on Prediction of Xerostomia
    Gan, Y.
    Langendijk, J. A.
    Oldehinkel, E.
    Lin, Z.
    Both, S.
    Brouwer, C. L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E591 - E591
  • [46] Network QoS assurance in a multi-layer adaptive resource management scheme for mission-critical applications using the CORBA middleware framework
    Dasarathy, B
    Gadgil, S
    Vaidyanathan, R
    Parmeswaran, K
    Coan, B
    Conarty, M
    Bhanot, V
    RTAS 2005: 11th IEEE Real Time and Embedded Technology and Applications Symposium, Proceedings, 2005, : 246 - 255
  • [47] End-to-end empirical validation of dose accumulation in MRI-guided adaptive radiotherapy for prostate cancer using an anthropomorphic deformable pelvis phantom
    Bohoudi, Omar
    Lagerwaard, Frank J.
    Bruynzeel, Anna M. E.
    Niebuhr, Nina, I
    Johnen, Wibke
    Senan, Suresh
    Slotman, Ben J.
    Pfaffenberger, Asja
    Palacios, Miguel A.
    RADIOTHERAPY AND ONCOLOGY, 2019, 141 : 200 - 207
  • [48] Quality Assurance Decisions with Air Models: A Case Study of Imputation of Missing Input Data Using EPA's Multi-layer Model
    Bowker, George E.
    Schwede, Donna B.
    Lear, Gary G.
    Warren-Hicks, William J.
    Finkelstein, Peter L.
    WATER AIR AND SOIL POLLUTION, 2011, 222 (1-4): : 391 - 402
  • [49] Quality Assurance Decisions with Air Models: A Case Study of Imputation of Missing Input Data Using EPA’s Multi-layer Model
    George E. Bowker
    Donna B. Schwede
    Gary G. Lear
    William J. Warren-Hicks
    Peter L. Finkelstein
    Water, Air, & Soil Pollution, 2011, 222 : 391 - 402
  • [50] Multiplexed Deformable Contour Propagation and Deep Learning Auto Segmentation Using Automatic Contour Quality Assurance for Abdominal MR-Guided Online Adaptive Radiotherapy
    Zarenia, M.
    Zhang, Y.
    Conlin, R.
    Sarosiek, C.
    Amjad, A.
    Paulson, E. S.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E204 - E205