Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer
Medical image fusion technology has been widely used in clinical practice by doctors to better understand lesion regions through the fusion of multiparametric medical images. This paper proposes an automated fusion method based on a U-Net. Through neural network learning, a weight distribution is ge...
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Format: | Article |
Language: | English |
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IEEE
2021-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9360594/ |
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author | Xunan Huang Bo Zhang Xiaoling Zhang Min Tang Qiguang Miao Tanping Li Guang Jia |
author_facet | Xunan Huang Bo Zhang Xiaoling Zhang Min Tang Qiguang Miao Tanping Li Guang Jia |
author_sort | Xunan Huang |
collection | DOAJ |
description | Medical image fusion technology has been widely used in clinical practice by doctors to better understand lesion regions through the fusion of multiparametric medical images. This paper proposes an automated fusion method based on a U-Net. Through neural network learning, a weight distribution is generated based on the relationship between the image feature information and the multifocus training target. The MRI image pair of prostate cancer (axial T2-weighted and ADC map) is fused using a strategy based on local similarity and Gaussian pyramid transformation. Experimental results show that the fusion method can enhance the appearance of prostate cancer in terms of both visual quality and objective evaluation. |
first_indexed | 2024-12-23T23:39:23Z |
format | Article |
id | doaj.art-1e35d1b6f4ad491a9bce4caad5020305 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-23T23:39:23Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-1e35d1b6f4ad491a9bce4caad50203052022-12-21T17:25:45ZengIEEEIEEE Access2169-35362021-01-019337563376810.1109/ACCESS.2021.30610789360594Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate CancerXunan Huang0https://orcid.org/0000-0002-4625-0203Bo Zhang1https://orcid.org/0000-0001-7830-044XXiaoling Zhang2https://orcid.org/0000-0001-9200-8832Min Tang3https://orcid.org/0000-0002-4070-7110Qiguang Miao4https://orcid.org/0000-0001-6766-8310Tanping Li5https://orcid.org/0000-0002-2164-2673Guang Jia6https://orcid.org/0000-0001-5306-5607School of Computer Science and Technology, Xidian University, Xi’an, ChinaTangdu Hospital, Air Force Military Medical University, Xi’an, ChinaMRI Room, Shaanxi Provincial People’s Hospital, Xi’an, ChinaMRI Room, Shaanxi Provincial People’s Hospital, Xi’an, ChinaSchool of Computer Science and Technology, Xidian University, Xi’an, ChinaSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an, ChinaSchool of Computer Science and Technology, Xidian University, Xi’an, ChinaMedical image fusion technology has been widely used in clinical practice by doctors to better understand lesion regions through the fusion of multiparametric medical images. This paper proposes an automated fusion method based on a U-Net. Through neural network learning, a weight distribution is generated based on the relationship between the image feature information and the multifocus training target. The MRI image pair of prostate cancer (axial T2-weighted and ADC map) is fused using a strategy based on local similarity and Gaussian pyramid transformation. Experimental results show that the fusion method can enhance the appearance of prostate cancer in terms of both visual quality and objective evaluation.https://ieeexplore.ieee.org/document/9360594/Medical imageimage fusionU-Net networkLaplacian pyramidprostate cancer |
spellingShingle | Xunan Huang Bo Zhang Xiaoling Zhang Min Tang Qiguang Miao Tanping Li Guang Jia Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer IEEE Access Medical image image fusion U-Net network Laplacian pyramid prostate cancer |
title | Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer |
title_full | Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer |
title_fullStr | Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer |
title_full_unstemmed | Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer |
title_short | Application of U-Net Based Multiparameter Magnetic Resonance Image Fusion in the Diagnosis of Prostate Cancer |
title_sort | application of u net based multiparameter magnetic resonance image fusion in the diagnosis of prostate cancer |
topic | Medical image image fusion U-Net network Laplacian pyramid prostate cancer |
url | https://ieeexplore.ieee.org/document/9360594/ |
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