Feasibility of photon beam profile deconvolution using a neural network

2018 ◽  
Vol 45 (12) ◽  
pp. 5586-5596 ◽  
Author(s):  
Han Liu ◽  
Feifei Li ◽  
Jiyeon Park ◽  
Sharon Lebron ◽  
Jian Wu ◽  
...  
Keyword(s):  
Neural Network ◽  
Beam Profile ◽  
Photon Beam

scholarly journals Evaluation of a neural network‐based photon beam profile deconvolution method

2020 ◽  
Vol 21 (6) ◽  
pp. 53-62
Author(s):  
Karl Mund ◽  
Jian Wu ◽  
Chihray Liu ◽  
Guanghua Yan
Keyword(s):  
Neural Network ◽  
Beam Profile ◽  
Photon Beam ◽  
Deconvolution Method

Beam profile monitors for a tagged photon beam facility

1991 ◽  
Vol 306 (1-2) ◽  
pp. 89-92 ◽  
Author(s):  
J. Arends ◽  
M. Breuer ◽  
H.D. Dahmen ◽  
P. Detemple ◽  
W. Schneider ◽  
...  
Keyword(s):  
Beam Profile ◽  
Photon Beam

Influence of detector size in photon beam profile measurements

1991 ◽  
Vol 36 (5) ◽  
pp. 621-631 ◽  
Author(s):  
C H Sibata ◽  
H C Mota ◽  
A S Bedder ◽  
P D Higgins ◽  
K H Shin
Keyword(s):  
Beam Profile ◽  
Photon Beam

scholarly journals Corrections of photon beam profiles of small fields measured with ionization chambers using a three‐layer neural network

2021 ◽  
Author(s):  
Ann‐Britt Schönfeld ◽  
Karl Mund ◽  
Guanghua Yan ◽  
Andreas Alexander Schönfeld ◽  
Hui Khee Looe ◽  
...  
Keyword(s):  
Neural Network ◽  
Photon Beam ◽  
Ionization Chambers ◽  
Small Fields

SU-GG-T-597: General Analytical Solution for Photon Beam Profile Deconvolution

2010 ◽  
Vol 37 (6Part25) ◽  
pp. 3324-3325
Author(s):  
G Yan ◽  
C Liu ◽  
J Palta ◽  
B Lu ◽  
J Li
Keyword(s):  
Analytical Solution ◽  
Beam Profile ◽  
Photon Beam ◽  
General Analytical Solution

Dosimetric comparison of photon beam profile characteristics for different treatment parameters

2017 ◽  
Vol 16 (4) ◽  
pp. 444-450 ◽  
Author(s):  
Qurat-ul-ain Shamsi ◽  
Maria Atiq ◽  
Atia Atiq ◽  
Saeed Ahmad Buzdar ◽  
Khalid Iqbal ◽  
...  
Keyword(s):  
Linear Accelerator ◽  
Radiation Treatment ◽  
Beam Profile ◽  
Photon Beam ◽  
Field Size ◽  
Photon Beams ◽  
Linear Accelerators ◽  
Water Phantom ◽  
Treatment Plans ◽  
Profile Characteristics

AbstractPurposeTo deliver radiation doses with higher accuracy, radiation treatment through megavoltage photon beams from linear accelerators, is accepted widely for treating malignancies. Before calibrating the linear accelerators, it is essential to make a complete analysis of all photon beam profile parameters. The main objective of this exploration was to investigate the 6 and 15 MV photon beam profile characteristics to improve the accuracy of radiation treatment plans.MethodsIn this exploration, treatment parameters like depth, field size and beam energy were varied to observe their effect on dosimetric characteristics of beam profiles in a water phantom, generated by linear accelerator Varian Clinac.ResultsThe results revealed thatDmaxandDmindecreased with increasing depth but increased with increasing field sizes. Both left and right penumbras increased with increasing depth, field size and energy. Homogeneity increased with field size but decreased with depth. Symmetry had no dependence on depth, energy and field size.ConclusionAll the characteristics of photon beam dosimetry were analysed and the characteristics like homogeneity and symmetry measured by an ion chamber in a water phantom came within clinically acceptable level of 3 and 103%, respectively, thus fulfilled the requirements of standard linear accelerator specifications. This exploration can be extended to the determination of beam profile characteristics of electron and photon beams of other energies at various depths and field sizes for designing optimum treatment plans.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document