عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL51856
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
A Gpu-Based Simulated Annealing Algorithm for Intensity-Modulated Radiation Therapy
General Material Designation
[Thesis]
First Statement of Responsibility
Galanakou, Panagiota
Subsequent Statement of Responsibility
Leventouri, Theodora
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Florida Atlantic University
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
77 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
Florida Atlantic University
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Simulating Annealing Algorithm (SAA) has been proposed for optimization of the Intensity-Modulated Radiation Therapy (IMRT). Despite the advantage of the SAA to be a global optimizer, the SAA optimization of IMRT is an extensive computational task due to the large scale of the optimization variables, and therefore it requires significant computational resources. In this research we introduce a parallel graphics processing unit (GPU)-based SAA developed in MATLAB platform and compliant with the computational environment for radiotherapy research (CERR) for IMRT treatment planning in order elucidate the performance improvement of the SAA in IMRT optimization. First, we identify the "bottlenecks" of our code, and then we parallelize those on the GPU accordingly. Performance tests were conducted on four different GPU cards in comparison to a serial version of the algorithm executed on a CPU. A gradual increase of the speedup factor as a function of the number of beamlets was found for all four GPUs. A maximum speedup factor of 33.48 was achieved for a prostate case, and 30.51 for a lung cancer case when the K40m card and the maximum number of beams was utilized for each case. At the same time, the two optimized IMRT plans that were created (prostate and lung cancer plans) were met the IMRT optimization goals.
UNCONTROLLED SUBJECT TERMS
Subject Term
Medical imaging
Subject Term
Physics
PERSONAL NAME - PRIMARY RESPONSIBILITY
Galanakou, Panagiota
PERSONAL NAME - SECONDARY RESPONSIBILITY
Leventouri, Theodora
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Florida Atlantic University
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
