Experimental verification of lung dose with radiochromic film: comparison with Monte Carlo simulations and commercially available treatment planning systems-Reference-Cited by-同舟云学术

Experimental verification of lung dose with radiochromic film: comparison with Monte Carlo simulations and commercially available treatment planning systems

Published:2005-04-20 Issue:9 Volume:50 Page:2055-2069
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Paelinck L,Reynaert N,Thierens H,Neve W De,Wagter C De

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference23 articles.

1. Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media

2. The impact of electron transport on the accuracy of computed dose

3. Photon beam relative dose validation of theDPMMonte Carlo code in lung-equivalent media

4. Modelling an extreme water–lung interface using a single pencil beam algorithm and the Monte Carlo method

5. Dose measurements compared with Monte Carlo simulations of narrow 6 MV multileaf collimator shaped photon beams

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non‐equilibrium conditions;Medical Physics;2021-07-21

2. Report of AAPM Task Group 235 Radiochromic Film Dosimetry: An Update to TG‐55;Medical Physics;2020-10-30

3. Prospective Monte Carlo Simulation for Choosing High Efficient Detectors for Small-Field Dosimetry;Theory, Application, and Implementation of Monte Carlo Method in Science and Technology;2019-12-18

4. Dosimetric verification of lung phantom calculated by collapsed cone convolution: A Monte Carlo and experimental evaluation;Journal of X-Ray Science and Technology;2019-04-01

5. The feasibility of direct treatment planning via contrast-enhanced computed tomography: an evaluation of dose differences based on the dimensional dose distribution comparison method;Internatuinal Journal of Radiation Research;2017-04-01