A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.

To develop a tri-modality image fusion method for better target delineation in image-guided radiotherapy for patients with brain tumors.A new method of tri-modality image fusion was developed, which can fuse and display all image sets in one panel and one operation. And a feasibility study in gross...

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Main Authors: Lu Guo, Shuming Shen, Eleanor Harris, Zheng Wang, Wei Jiang, Yu Guo, Yuanming Feng
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4223022?pdf=render
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author Lu Guo
Shuming Shen
Eleanor Harris
Zheng Wang
Wei Jiang
Yu Guo
Yuanming Feng
author_facet Lu Guo
Shuming Shen
Eleanor Harris
Zheng Wang
Wei Jiang
Yu Guo
Yuanming Feng
author_sort Lu Guo
collection DOAJ
description To develop a tri-modality image fusion method for better target delineation in image-guided radiotherapy for patients with brain tumors.A new method of tri-modality image fusion was developed, which can fuse and display all image sets in one panel and one operation. And a feasibility study in gross tumor volume (GTV) delineation using data from three patients with brain tumors was conducted, which included images of simulation CT, MRI, and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) examinations before radiotherapy. Tri-modality image fusion was implemented after image registrations of CT+PET and CT+MRI, and the transparency weight of each modality could be adjusted and set by users. Three radiation oncologists delineated GTVs for all patients using dual-modality (MRI/CT) and tri-modality (MRI/CT/PET) image fusion respectively. Inter-observer variation was assessed by the coefficient of variation (COV), the average distance between surface and centroid (ADSC), and the local standard deviation (SDlocal). Analysis of COV was also performed to evaluate intra-observer volume variation.The inter-observer variation analysis showed that, the mean COV was 0.14(± 0.09) and 0.07(± 0.01) for dual-modality and tri-modality respectively; the standard deviation of ADSC was significantly reduced (p<0.05) with tri-modality; SDlocal averaged over median GTV surface was reduced in patient 2 (from 0.57 cm to 0.39 cm) and patient 3 (from 0.42 cm to 0.36 cm) with the new method. The intra-observer volume variation was also significantly reduced (p = 0.00) with the tri-modality method as compared with using the dual-modality method.With the new tri-modality image fusion method smaller inter- and intra-observer variation in GTV definition for the brain tumors can be achieved, which improves the consistency and accuracy for target delineation in individualized radiotherapy.
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spelling doaj.art-6228345cf0d24b91940c2314c3f627962022-12-21T21:49:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11218710.1371/journal.pone.0112187A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.Lu GuoShuming ShenEleanor HarrisZheng WangWei JiangYu GuoYuanming FengTo develop a tri-modality image fusion method for better target delineation in image-guided radiotherapy for patients with brain tumors.A new method of tri-modality image fusion was developed, which can fuse and display all image sets in one panel and one operation. And a feasibility study in gross tumor volume (GTV) delineation using data from three patients with brain tumors was conducted, which included images of simulation CT, MRI, and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) examinations before radiotherapy. Tri-modality image fusion was implemented after image registrations of CT+PET and CT+MRI, and the transparency weight of each modality could be adjusted and set by users. Three radiation oncologists delineated GTVs for all patients using dual-modality (MRI/CT) and tri-modality (MRI/CT/PET) image fusion respectively. Inter-observer variation was assessed by the coefficient of variation (COV), the average distance between surface and centroid (ADSC), and the local standard deviation (SDlocal). Analysis of COV was also performed to evaluate intra-observer volume variation.The inter-observer variation analysis showed that, the mean COV was 0.14(± 0.09) and 0.07(± 0.01) for dual-modality and tri-modality respectively; the standard deviation of ADSC was significantly reduced (p<0.05) with tri-modality; SDlocal averaged over median GTV surface was reduced in patient 2 (from 0.57 cm to 0.39 cm) and patient 3 (from 0.42 cm to 0.36 cm) with the new method. The intra-observer volume variation was also significantly reduced (p = 0.00) with the tri-modality method as compared with using the dual-modality method.With the new tri-modality image fusion method smaller inter- and intra-observer variation in GTV definition for the brain tumors can be achieved, which improves the consistency and accuracy for target delineation in individualized radiotherapy.http://europepmc.org/articles/PMC4223022?pdf=render
spellingShingle Lu Guo
Shuming Shen
Eleanor Harris
Zheng Wang
Wei Jiang
Yu Guo
Yuanming Feng
A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
PLoS ONE
title A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
title_full A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
title_fullStr A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
title_full_unstemmed A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
title_short A tri-modality image fusion method for target delineation of brain tumors in radiotherapy.
title_sort tri modality image fusion method for target delineation of brain tumors in radiotherapy
url http://europepmc.org/articles/PMC4223022?pdf=render
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