Published May 2016 | Version v1
Miscellaneous

A virtual source method for Monte Carlo simulation of Gamma Knife Model C

  • 1. Hanyang University, Seoul (Korea, Republic of)
  • 2. Seoul National University College of Medicine, Seoul (Korea, Republic of)

Description

The Monte Carlo simulation method has been used for dosimetry of radiation treatment. Monte Carlo simulation is the method that determines paths and dosimetry of particles using random number. Recently, owing to the ability of fast processing of the computers, it is possible to treat a patient more precisely. However, it is necessary to increase the simulation time to improve the efficiency of accuracy uncertainty. When generating the particles from the cobalt source in a simulation, there are many particles cut off. So it takes time to simulate more accurately. For the efficiency, we generated the virtual source that has the phase space distribution which acquired a single gamma knife channel. We performed the simulation using the virtual sources on the 201 channel and compared the measurement with the simulation using virtual sources and real sources. A virtual source file was generated to reduce the simulation time of a Gamma Knife Model C. Simulations with a virtual source executed about 50 times faster than the original source code and there was no statistically significant difference in simulated results

Part of:
Proceedings of the KNS 2016 Spring Meeting

Additional details

Publishing Information

Publisher
KNS
Imprint Place
Daejeon (Korea, Republic of)
Imprint Title
Proceedings of the KNS 2016 spring meeting
Imprint Pagination
[1 CD-ROM]
Journal Page Range
[2 p.]

Conference

Title
2016 spring meeting of the KNS
Dates
11-13 May 2016
Place
Jeju (Korea, Republic of)

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
Korea, Republic of
INIS RN
48048961
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ACCURACY; COMPUTERIZED SIMULATION; DOSIMETRY; EFFICIENCY; MONTE CARLO METHOD; PATIENTS; UNCERTAINTY PRINCIPLE
Descriptors DEC
CALCULATION METHODS; SIMULATION

Optional Information

Notes
4 refs, 2 figs