Dose distribution close to metal implants in Gamma Knife Radiosurgery: A Monte Carlo study

2003 ◽  
Vol 30 (7) ◽  
pp. 1812-1815 ◽  
Author(s):  
Joel Y. C. Cheung ◽  
K. N. Yu ◽  
Josie F. K. Chan ◽  
Robert T. K. Ho ◽  
C. P. Yu
2005 ◽  
Vol 32 (8) ◽  
pp. 2455-2463 ◽  
Author(s):  
M. De Felici ◽  
R. Felici ◽  
M. Sanchez del Rio ◽  
C. Ferrero ◽  
T. Bacarian ◽  
...  

2013 ◽  
Vol 18 (2) ◽  
pp. 112-116 ◽  
Author(s):  
Mohammad Taghi Bahreyni Toossi ◽  
Maliheh Abdollahi ◽  
Mahdi Ghorbani

2021 ◽  
Vol 20 ◽  
pp. 153303382110464
Author(s):  
Jiankui Yuan ◽  
Elisha Fredman ◽  
Jian-Yue Jin ◽  
Serah Choi ◽  
David Mansur ◽  
...  

The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) method is used for dose calculations. Thirty patients were retrospectively selected with our institution IRB’s approval. All patients were treated with GK SRS based on T1-weighted MR images and also underwent conventional external beam treatment with a CT scan. Image datasets were preprocessed with registration and were normalized to obtain similar intensity for the pairs of MR and CT images. A deep convolutional neural network arranged in an encoder–decoder fashion was used to learn the direct mapping from MR to the corresponding CT. A number of metrics including the voxel-wise mean error (ME) and mean absolute error (MAE) were used for evaluating the difference between generated sCT and the true CT. To study the dosimetric accuracy, MC simulations were performed based on the true CT and sCT using the same treatment parameters. The method produced an MAE of 86.6 ± 34.1 Hundsfield units (HU) and a mean squared error (MSE) of 160.9 ± 32.8. The mean Dice similarity coefficient was 0.82 ± 0.05 for HU > 200. The difference for dose-volume parameter D95 between the ground true dose and the dose calculated with sCT was 1.1% if a synthetic CT-to-density table was used, and 4.9% compared with the calculations based on the water-brain phantom.


2006 ◽  
Vol 33 (6Part23) ◽  
pp. 2294-2294
Author(s):  
D Chin ◽  
B Friedland ◽  
N Treister ◽  
R Cormack ◽  
R Tishler ◽  
...  

2013 ◽  
Vol 41 (1) ◽  
pp. 011702 ◽  
Author(s):  
Maria Francesca Spadea ◽  
Joost Mathias Verburg ◽  
Guido Baroni ◽  
Joao Seco

2009 ◽  
Vol 10 (1) ◽  
pp. 80-89 ◽  
Author(s):  
David W. H. Chin ◽  
Nathaniel Treister ◽  
Bernard Friedland ◽  
Robert A. Cormack ◽  
Roy B. Tishler ◽  
...  

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