MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network

被引:102
作者
Dinkla, Anna M. [1 ]
Wolterink, Jelmer M. [2 ]
Maspero, Matteo [1 ,2 ]
Savenije, Mark H. F. [1 ]
Verhoeff, Joost J. C. [1 ]
Seravalli, Enrica [1 ]
Isgum, Ivana [2 ]
Seevinck, Peter R. [2 ]
van den Berg, Cornelis A. T. [1 ]
机构
[1] Univ Med Ctr Utrecht, Dept Radiat Oncol, Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Image Sci Inst, Utrecht, Netherlands
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2018年 / 102卷 / 04期
关键词
PSEUDO-CT; DOSE CALCULATIONS; RESONANCE; IMAGES; HEAD; SEGMENTATION; REGISTRATION; DISTORTION; BONE; NECK;
D O I
10.1016/j.ijrobp.2018.05.058
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: This work aims to facilitate a fast magnetic resonance (MR)-only workflow for radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed tomography (sCT) images generated with a dilated convolutional neural network (CNN) enable accurate MR-based dose calculations in the brain. Methods and Materials: We conducted a retrospective study of 52 patients with brain tumors who underwent both computed tomography (CT) and MR imaging for radiation therapy treatment planning. To generate the sCTs, a T1-weighted gradient echo MR sequence was selected from the clinical protocol for multiple types of brain tumors. sCTs were created for all 52 patients with a dilated CNN using 2-fold cross validation; in each fold, 26 patients were used for training and the remaining 26 patients were used for evaluation. For each patient, the clinical CT-based treatment plan was recalculated on sCT. We calculated dose differences and gamma pass rates between CT- and sCT-based plans inside body and planning target volume. Geometric fidelity of the sCT and differences in beam depth and equivalent path length were assessed between both treatment plans. Results: sCT generation took 1minute per patient. Over the patient population, the mean absolute error of the sCT within the intersection of body contours was 67 +/- 11 HU (+/- 1 standard deviation [SD], range: 51-117 HU), and the mean error was 13 +/- 9HU(+/- 1 SD, range: e2 to 38 HU). Dosimetric analysis showed mean deviations of 0.00% +/- 0.02% (+/- 1 SD, range: e0.05 to 0.03) for dose within the body contours and e0.13% +/- 0.39% (+/- 1 SD, range: e1.43 to 0.80) inside the planning target volume. Mean g1mm/ 1% was 98.8% +/- 2.2% for doses > 50% of the prescribed dose. Conclusions: The presented dilated CNN generated sCTs from conventionalMR images without adding scan time to the acquisition. Dosimetric evaluation suggests that dose calculations performed on the sCTs are accurate and can therefore be used for MR-only intracranial radiation therapy treatment planning. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:801 / 812
页数:12
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