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Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study

PURPOSE: The purpose of this study was to evaluate the accuracy of an active contour model for estimating the posterior ablative margin in images obtained by the fusion of real-time ultrasonography (US) and 3-dimensional (3D) US or magnetic resonance (MR) images of an experimental tumor model for ra...

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Autores principales: Lee, Junkyo, Lee, Min Woo, Choi, Dongil, Cha, Dong Ik, Lee, Sunyoung, Kang, Tae Wook, Yang, Jehoon, Jo, Jaemoon, Bang, Won-Chul, Kim, Jongsik, Shin, Dongkuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Ultrasound in Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177685/
https://www.ncbi.nlm.nih.gov/pubmed/29458238
http://dx.doi.org/10.14366/usg.17065
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author Lee, Junkyo
Lee, Min Woo
Choi, Dongil
Cha, Dong Ik
Lee, Sunyoung
Kang, Tae Wook
Yang, Jehoon
Jo, Jaemoon
Bang, Won-Chul
Kim, Jongsik
Shin, Dongkuk
author_facet Lee, Junkyo
Lee, Min Woo
Choi, Dongil
Cha, Dong Ik
Lee, Sunyoung
Kang, Tae Wook
Yang, Jehoon
Jo, Jaemoon
Bang, Won-Chul
Kim, Jongsik
Shin, Dongkuk
author_sort Lee, Junkyo
collection PubMed
description PURPOSE: The purpose of this study was to evaluate the accuracy of an active contour model for estimating the posterior ablative margin in images obtained by the fusion of real-time ultrasonography (US) and 3-dimensional (3D) US or magnetic resonance (MR) images of an experimental tumor model for radiofrequency ablation. METHODS: Chickpeas (n=12) and bovine rump meat (n=12) were used as an experimental tumor model. Grayscale 3D US and T1-weighted MR images were pre-acquired for use as reference datasets. US and MR/3D US fusion was performed for one group (n=4), and US and 3D US fusion only (n=8) was performed for the other group. Half of the models in each group were completely ablated, while the other half were incompletely ablated. Hyperechoic ablation areas were extracted using an active contour model from real-time US images, and the posterior margin of the ablation zone was estimated from the anterior margin. After the experiments, the ablated pieces of bovine rump meat were cut along the electrode path and the cut planes were photographed. The US images with the estimated posterior margin were compared with the photographs and post-ablation MR images. The extracted contours of the ablation zones from 12 US fusion videos and post-ablation MR images were also matched. RESULTS: In the four models fused under real-time US with MR/3D US, compression from the transducer and the insertion of an electrode resulted in misregistration between the real-time US and MR images, making the estimation of the ablation zones less accurate than was achieved through fusion between real-time US and 3D US. Eight of the 12 post-ablation 3D US images were graded as good when compared with the sectioned specimens, and 10 of the 12 were graded as good in a comparison with nicotinamide adenine dinucleotide staining and histopathologic results. CONCLUSION: Estimating the posterior ablative margin using an active contour model is a feasible way of predicting the ablation area, and US/3D US fusion was more accurate than US/MR fusion.
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spelling pubmed-61776852018-10-11 Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study Lee, Junkyo Lee, Min Woo Choi, Dongil Cha, Dong Ik Lee, Sunyoung Kang, Tae Wook Yang, Jehoon Jo, Jaemoon Bang, Won-Chul Kim, Jongsik Shin, Dongkuk Ultrasonography Original Article PURPOSE: The purpose of this study was to evaluate the accuracy of an active contour model for estimating the posterior ablative margin in images obtained by the fusion of real-time ultrasonography (US) and 3-dimensional (3D) US or magnetic resonance (MR) images of an experimental tumor model for radiofrequency ablation. METHODS: Chickpeas (n=12) and bovine rump meat (n=12) were used as an experimental tumor model. Grayscale 3D US and T1-weighted MR images were pre-acquired for use as reference datasets. US and MR/3D US fusion was performed for one group (n=4), and US and 3D US fusion only (n=8) was performed for the other group. Half of the models in each group were completely ablated, while the other half were incompletely ablated. Hyperechoic ablation areas were extracted using an active contour model from real-time US images, and the posterior margin of the ablation zone was estimated from the anterior margin. After the experiments, the ablated pieces of bovine rump meat were cut along the electrode path and the cut planes were photographed. The US images with the estimated posterior margin were compared with the photographs and post-ablation MR images. The extracted contours of the ablation zones from 12 US fusion videos and post-ablation MR images were also matched. RESULTS: In the four models fused under real-time US with MR/3D US, compression from the transducer and the insertion of an electrode resulted in misregistration between the real-time US and MR images, making the estimation of the ablation zones less accurate than was achieved through fusion between real-time US and 3D US. Eight of the 12 post-ablation 3D US images were graded as good when compared with the sectioned specimens, and 10 of the 12 were graded as good in a comparison with nicotinamide adenine dinucleotide staining and histopathologic results. CONCLUSION: Estimating the posterior ablative margin using an active contour model is a feasible way of predicting the ablation area, and US/3D US fusion was more accurate than US/MR fusion. Korean Society of Ultrasound in Medicine 2018-10 2017-12-21 /pmc/articles/PMC6177685/ /pubmed/29458238 http://dx.doi.org/10.14366/usg.17065 Text en Copyright © 2017 Korean Society of Ultrasound in Medicine (KSUM) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Junkyo
Lee, Min Woo
Choi, Dongil
Cha, Dong Ik
Lee, Sunyoung
Kang, Tae Wook
Yang, Jehoon
Jo, Jaemoon
Bang, Won-Chul
Kim, Jongsik
Shin, Dongkuk
Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title_full Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title_fullStr Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title_full_unstemmed Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title_short Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
title_sort active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3d ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177685/
https://www.ncbi.nlm.nih.gov/pubmed/29458238
http://dx.doi.org/10.14366/usg.17065
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