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Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy

PURPOSE: In ultrasound-guided High Intensity Focused Ultrasound (HIFU) therapy, the target tissue (such as a tumor) often moves and/or deforms in response to an external force. This problem creates difficulties in treating patients and can lead to the destruction of normal tissue. In order to solve...

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Autores principales: Liao, Xiangyun, Yuan, Zhiyong, Lai, Qianfeng, Guo, Jiaxiang, Zheng, Qi, Yu, Sijiao, Tong, Qianqian, Si, Weixin, Sun, Mingui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439056/
https://www.ncbi.nlm.nih.gov/pubmed/25993644
http://dx.doi.org/10.1371/journal.pone.0127873
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author Liao, Xiangyun
Yuan, Zhiyong
Lai, Qianfeng
Guo, Jiaxiang
Zheng, Qi
Yu, Sijiao
Tong, Qianqian
Si, Weixin
Sun, Mingui
author_facet Liao, Xiangyun
Yuan, Zhiyong
Lai, Qianfeng
Guo, Jiaxiang
Zheng, Qi
Yu, Sijiao
Tong, Qianqian
Si, Weixin
Sun, Mingui
author_sort Liao, Xiangyun
collection PubMed
description PURPOSE: In ultrasound-guided High Intensity Focused Ultrasound (HIFU) therapy, the target tissue (such as a tumor) often moves and/or deforms in response to an external force. This problem creates difficulties in treating patients and can lead to the destruction of normal tissue. In order to solve this problem, we present a novel method to model and predict the movement and deformation of the target tissue during ultrasound-guided HIFU therapy. METHODS: Our method computationally predicts the position of the target tissue under external force. This prediction allows appropriate adjustments in the focal region during the application of HIFU so that the treatment head is kept aligned with the diseased tissue through the course of therapy. To accomplish this goal, we utilize the cow tissue as the experimental target tissue to collect spatial sequences of ultrasound images using the HIFU equipment. A Geodesic Localized Chan-Vese (GLCV) model is developed to segment the target tissue images. A 3D target tissue model is built based on the segmented results. A versatile particle framework is constructed based on Smoothed Particle Hydrodynamics (SPH) to model the movement and deformation of the target tissue. Further, an iterative parameter estimation algorithm is utilized to determine the essential parameters of the versatile particle framework. Finally, the versatile particle framework with the determined parameters is used to estimate the movement and deformation of the target tissue. RESULTS: To validate our method, we compare the predicted contours with the ground truth contours. We found that the lowest, highest and average Dice Similarity Coefficient (DSC) values between predicted and ground truth contours were, respectively, 0.9615, 0.9770 and 0.9697. CONCLUSION: Our experimental result indicates that the proposed method can effectively predict the dynamic contours of the moving and deforming tissue during ultrasound-guided HIFU therapy.
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spelling pubmed-44390562015-05-29 Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy Liao, Xiangyun Yuan, Zhiyong Lai, Qianfeng Guo, Jiaxiang Zheng, Qi Yu, Sijiao Tong, Qianqian Si, Weixin Sun, Mingui PLoS One Research Article PURPOSE: In ultrasound-guided High Intensity Focused Ultrasound (HIFU) therapy, the target tissue (such as a tumor) often moves and/or deforms in response to an external force. This problem creates difficulties in treating patients and can lead to the destruction of normal tissue. In order to solve this problem, we present a novel method to model and predict the movement and deformation of the target tissue during ultrasound-guided HIFU therapy. METHODS: Our method computationally predicts the position of the target tissue under external force. This prediction allows appropriate adjustments in the focal region during the application of HIFU so that the treatment head is kept aligned with the diseased tissue through the course of therapy. To accomplish this goal, we utilize the cow tissue as the experimental target tissue to collect spatial sequences of ultrasound images using the HIFU equipment. A Geodesic Localized Chan-Vese (GLCV) model is developed to segment the target tissue images. A 3D target tissue model is built based on the segmented results. A versatile particle framework is constructed based on Smoothed Particle Hydrodynamics (SPH) to model the movement and deformation of the target tissue. Further, an iterative parameter estimation algorithm is utilized to determine the essential parameters of the versatile particle framework. Finally, the versatile particle framework with the determined parameters is used to estimate the movement and deformation of the target tissue. RESULTS: To validate our method, we compare the predicted contours with the ground truth contours. We found that the lowest, highest and average Dice Similarity Coefficient (DSC) values between predicted and ground truth contours were, respectively, 0.9615, 0.9770 and 0.9697. CONCLUSION: Our experimental result indicates that the proposed method can effectively predict the dynamic contours of the moving and deforming tissue during ultrasound-guided HIFU therapy. Public Library of Science 2015-05-20 /pmc/articles/PMC4439056/ /pubmed/25993644 http://dx.doi.org/10.1371/journal.pone.0127873 Text en © 2015 Liao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liao, Xiangyun
Yuan, Zhiyong
Lai, Qianfeng
Guo, Jiaxiang
Zheng, Qi
Yu, Sijiao
Tong, Qianqian
Si, Weixin
Sun, Mingui
Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title_full Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title_fullStr Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title_full_unstemmed Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title_short Modeling and Predicting Tissue Movement and Deformation for High Intensity Focused Ultrasound Therapy
title_sort modeling and predicting tissue movement and deformation for high intensity focused ultrasound therapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439056/
https://www.ncbi.nlm.nih.gov/pubmed/25993644
http://dx.doi.org/10.1371/journal.pone.0127873
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