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Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm

Turki Almatani, Richard Hugtenburg Orcid Logo, Ryan D. Lewis, Susan E. Barley, Mark A. Edwards

Journal of Radiotherapy in Practice, Pages: 1 - 8

Swansea University Author: Richard Hugtenburg Orcid Logo

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DOI (Published version): 10.1017/S1460396917000310

Abstract

Objective: The development of magnetic resonance (MR) imaging systems has been extended for the entire radiotherapy process. However, MR images provide voxel values that are not directly related to electron densities (ED), thus MR images cannot be used directly for dose calculation. The aim of this...

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Published in: Journal of Radiotherapy in Practice
ISSN: 1467-1131
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa36271
first_indexed 2017-10-26T13:34:22Z
last_indexed 2019-09-28T03:53:00Z
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spelling 2019-09-26T18:04:04.4227860 v2 36271 2017-10-26 Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm efd2f52ea19cb047e01a01e6fa6fa54c 0000-0003-0352-9607 Richard Hugtenburg Richard Hugtenburg true false 2017-10-26 MEDS Objective: The development of magnetic resonance (MR) imaging systems has been extended for the entire radiotherapy process. However, MR images provide voxel values that are not directly related to electron densities (ED), thus MR images cannot be used directly for dose calculation. The aim of this study is to investigate the feasibility of dose calculations to be performed on MR images and evaluate the necessity of re-planning.Methods: A prostate cancer patient was imaged using both MR and CT. The multilevel threshold algorithm (MLT) was used categorise to voxel values in the MR images in into three segments (air, water and bone) with homogeneous Hounsfield units (HU). An intensity modulated radiation therapy (IMRT) plan was generated from CT images of the patient. The plan was then copied to the segmented MR data sets and the doses were recalculated using pencil beam, and collapsed cone (CC) algorithms and Monte Carlo (MC) modelling.Results: Gamma evaluation showed that the percentage of points in regions of interest with γ < 1 (3%/3 mm) were more than 94% in the segmented MR. Compared with the planning CT (pCT) plan, the segmented MR plan resulted in a dose difference of –0.3%, 0.8% and –1.3% when using PB, CC and MC algorithms, respectively.Conclusion: The segmentation and conversion of MR images into HUs data using the MLT algorithm, used in this feasibility study, can be used for dose calculation. This method can be used as a dosimetric assessment tool and can be easily implemented into the clinic. Journal Article Journal of Radiotherapy in Practice 1 8 1467-1131 31 12 2017 2017-12-31 10.1017/S1460396917000310 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2019-09-26T18:04:04.4227860 2017-10-26T10:28:17.0632167 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Turki Almatani 1 Richard Hugtenburg 0000-0003-0352-9607 2 Ryan D. Lewis 3 Susan E. Barley 4 Mark A. Edwards 5 0036271-26092019180348.pdf MR-baseddosecalculation_uqu.pdf 2019-09-26T18:03:48.9770000 Output 912128 application/pdf Accepted Manuscript true 2019-09-26T00:00:00.0000000 false eng
title Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
spellingShingle Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
Richard Hugtenburg
title_short Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
title_full Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
title_fullStr Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
title_full_unstemmed Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
title_sort Dosimetric feasibility of magnetic resonance (MR)-based dose calculation of prostate radiotherapy using multilevel threshold algorithm
author_id_str_mv efd2f52ea19cb047e01a01e6fa6fa54c
author_id_fullname_str_mv efd2f52ea19cb047e01a01e6fa6fa54c_***_Richard Hugtenburg
author Richard Hugtenburg
author2 Turki Almatani
Richard Hugtenburg
Ryan D. Lewis
Susan E. Barley
Mark A. Edwards
format Journal article
container_title Journal of Radiotherapy in Practice
container_start_page 1
publishDate 2017
institution Swansea University
issn 1467-1131
doi_str_mv 10.1017/S1460396917000310
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description Objective: The development of magnetic resonance (MR) imaging systems has been extended for the entire radiotherapy process. However, MR images provide voxel values that are not directly related to electron densities (ED), thus MR images cannot be used directly for dose calculation. The aim of this study is to investigate the feasibility of dose calculations to be performed on MR images and evaluate the necessity of re-planning.Methods: A prostate cancer patient was imaged using both MR and CT. The multilevel threshold algorithm (MLT) was used categorise to voxel values in the MR images in into three segments (air, water and bone) with homogeneous Hounsfield units (HU). An intensity modulated radiation therapy (IMRT) plan was generated from CT images of the patient. The plan was then copied to the segmented MR data sets and the doses were recalculated using pencil beam, and collapsed cone (CC) algorithms and Monte Carlo (MC) modelling.Results: Gamma evaluation showed that the percentage of points in regions of interest with γ < 1 (3%/3 mm) were more than 94% in the segmented MR. Compared with the planning CT (pCT) plan, the segmented MR plan resulted in a dose difference of –0.3%, 0.8% and –1.3% when using PB, CC and MC algorithms, respectively.Conclusion: The segmentation and conversion of MR images into HUs data using the MLT algorithm, used in this feasibility study, can be used for dose calculation. This method can be used as a dosimetric assessment tool and can be easily implemented into the clinic.
published_date 2017-12-31T04:18:37Z
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