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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Main Authors: Xunan Huang, Bo Zhang, Xiaoling Zhang, Min Tang, Qiguang Miao, Tanping Li, Guang Jia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
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.
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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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