A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images
The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ultrasound (IVUS) and optical coherence tomography (IV-OCT) ar...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8362608/ |
| _version_ | 1818331772815933440 |
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| author | Chenxi Huang Yuan Xie Yisha Lan Yongtao Hao Fei Chen Yongqiang Cheng Yonghong Peng |
| author_facet | Chenxi Huang Yuan Xie Yisha Lan Yongtao Hao Fei Chen Yongqiang Cheng Yonghong Peng |
| author_sort | Chenxi Huang |
| collection | DOAJ |
| description | The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ultrasound (IVUS) and optical coherence tomography (IV-OCT) are two imaging modalities that have been widely used in the medical practice for the assessment of arterial health and the detection of vascular lumen lesions. IV-OCT has a high resolution and poor penetration, while IVUS has a low resolution and high detection depth. This paper proposes a new approach for the fusion of intravascular ultrasound and optical coherence tomography pullbacks to significantly improve the use of those two types of medical images. It also presents a new two-phase multimodal fusion framework using a coarse-to-fine registration and a wavelet fusion method. In the coarse-registration process, we define a set of new feature points to match the IVUS image and IV-OCT image. Then, the improved quality image is obtained based on the integration of the mutual information of two types of images. Finally, the matched registered images are fused with an approach based on the new proposed wavelet algorithm. The experimental results demonstrate the performance of the proposed new approach for significantly enhancing both the precision and computational stability. The proposed approach is shown to be promising for providing additional information to enhance the diagnosis and enable a deeper understanding of atherosclerosis. |
| first_indexed | 2024-12-13T13:25:10Z |
| format | Article |
| id | doaj.art-7d3be85f406643adae8011cf7ee64864 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:25:10Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d3be85f406643adae8011cf7ee648642022-12-21T23:44:19ZengIEEEIEEE Access2169-35362018-01-016364083641910.1109/ACCESS.2018.28396948362608A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography ImagesChenxi Huang0Yuan Xie1Yisha Lan2Yongtao Hao3Fei Chen4Yongqiang Cheng5https://orcid.org/0000-0001-7282-7638Yonghong Peng6Department of Computer Science and Technology, Tongji University, Shanghai, ChinaDepartment of Computer Science and Technology, Tongji University, Shanghai, ChinaDepartment of Computer Science and Technology, Tongji University, Shanghai, ChinaDepartment of Computer Science and Technology, Tongji University, Shanghai, ChinaDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University, Shanghai, ChinaSchool of Engineering and Computer Science, University of Hull, Hull, U.K.Faculty of Computer Science, University of Sunderland, St Peter Campus, Sunderland, U.K.The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ultrasound (IVUS) and optical coherence tomography (IV-OCT) are two imaging modalities that have been widely used in the medical practice for the assessment of arterial health and the detection of vascular lumen lesions. IV-OCT has a high resolution and poor penetration, while IVUS has a low resolution and high detection depth. This paper proposes a new approach for the fusion of intravascular ultrasound and optical coherence tomography pullbacks to significantly improve the use of those two types of medical images. It also presents a new two-phase multimodal fusion framework using a coarse-to-fine registration and a wavelet fusion method. In the coarse-registration process, we define a set of new feature points to match the IVUS image and IV-OCT image. Then, the improved quality image is obtained based on the integration of the mutual information of two types of images. Finally, the matched registered images are fused with an approach based on the new proposed wavelet algorithm. The experimental results demonstrate the performance of the proposed new approach for significantly enhancing both the precision and computational stability. The proposed approach is shown to be promising for providing additional information to enhance the diagnosis and enable a deeper understanding of atherosclerosis.https://ieeexplore.ieee.org/document/8362608/Intravascular ultrasound (IVUS)optical coherence tomography (OCT)wavelet fusionmutual information registrationfeature registration |
| spellingShingle | Chenxi Huang Yuan Xie Yisha Lan Yongtao Hao Fei Chen Yongqiang Cheng Yonghong Peng A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images IEEE Access Intravascular ultrasound (IVUS) optical coherence tomography (OCT) wavelet fusion mutual information registration feature registration |
| title | A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images |
| title_full | A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images |
| title_fullStr | A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images |
| title_full_unstemmed | A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images |
| title_short | A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images |
| title_sort | new framework for the integrative analytics of intravascular ultrasound and optical coherence tomography images |
| topic | Intravascular ultrasound (IVUS) optical coherence tomography (OCT) wavelet fusion mutual information registration feature registration |
| url | https://ieeexplore.ieee.org/document/8362608/ |
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