Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study
Abstract Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors. Methods Pairs of sing...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-12-01
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| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-022-02679-0 |
| _version_ | 1797973422029930496 |
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| author | Lei-Hao Hu Wen-Bo Zhang Yao Yu Zhi-Peng Sun Guang-Yan Yu Xin Peng |
| author_facet | Lei-Hao Hu Wen-Bo Zhang Yao Yu Zhi-Peng Sun Guang-Yan Yu Xin Peng |
| author_sort | Lei-Hao Hu |
| collection | DOAJ |
| description | Abstract Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors. Methods Pairs of single-modality images were obtained from oral and maxillofacial tumor patients, and were fused using a proprietary navigation system by using three algorithms (automatic fusion, manual fusion, and registration point-based fusion). Fusion accuracy was evaluated including two aspects—overall fusion accuracy and tumor volume fusion accuracy—and were indicated by mean deviation and fusion index, respectively. Image modality, fusion algorithm, and other characteristics of multimodal images that may have potential influence on fusion accuracy were recorded. Univariate and multivariate analysis were used to identify relevant affecting factors. Results Ninety-three multimodal images were generated by fusing 31 pairs of single-modality images. The interaction effect of image modality and fusion algorithm (P = 0.02, P = 0.003) and thinner slice thickness (P = 0.006) were shown to significantly influence the overall fusion accuracy. The tumor volume (P < 0.001), tumor location (P = 0.007), and image modality (P = 0.01) were significant influencing factors for tumor volume fusion accuracy. Conclusions To ensure high overall fusion accuracy, manual fusion was not preferred in CT/MRI image fusion, and neither was automatic fusion in image fusion containing PET modality. Using image sets with thinner slice thickness could increase overall fusion accuracy. CT/MRI fusion yielded higher tumor volume fusion accuracy than fusion containing PET modality. The tumor volume fusion accuracy should be taken into consideration during image fusion when the tumor volume is small and the tumor is located in the mandible. |
| first_indexed | 2024-04-11T04:04:01Z |
| format | Article |
| id | doaj.art-5402596eea64489ab4094c2ede19dc82 |
| institution | Directory Open Access Journal |
| issn | 1472-6831 |
| language | English |
| last_indexed | 2024-04-11T04:04:01Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj.art-5402596eea64489ab4094c2ede19dc822023-01-01T12:29:02ZengBMCBMC Oral Health1472-68312022-12-012211910.1186/s12903-022-02679-0Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective studyLei-Hao Hu0Wen-Bo Zhang1Yao Yu2Zhi-Peng Sun3Guang-Yan Yu4Xin Peng5Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesDepartment of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesAbstract Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors. Methods Pairs of single-modality images were obtained from oral and maxillofacial tumor patients, and were fused using a proprietary navigation system by using three algorithms (automatic fusion, manual fusion, and registration point-based fusion). Fusion accuracy was evaluated including two aspects—overall fusion accuracy and tumor volume fusion accuracy—and were indicated by mean deviation and fusion index, respectively. Image modality, fusion algorithm, and other characteristics of multimodal images that may have potential influence on fusion accuracy were recorded. Univariate and multivariate analysis were used to identify relevant affecting factors. Results Ninety-three multimodal images were generated by fusing 31 pairs of single-modality images. The interaction effect of image modality and fusion algorithm (P = 0.02, P = 0.003) and thinner slice thickness (P = 0.006) were shown to significantly influence the overall fusion accuracy. The tumor volume (P < 0.001), tumor location (P = 0.007), and image modality (P = 0.01) were significant influencing factors for tumor volume fusion accuracy. Conclusions To ensure high overall fusion accuracy, manual fusion was not preferred in CT/MRI image fusion, and neither was automatic fusion in image fusion containing PET modality. Using image sets with thinner slice thickness could increase overall fusion accuracy. CT/MRI fusion yielded higher tumor volume fusion accuracy than fusion containing PET modality. The tumor volume fusion accuracy should be taken into consideration during image fusion when the tumor volume is small and the tumor is located in the mandible.https://doi.org/10.1186/s12903-022-02679-0Oral and maxillofacial tumorsMultimodal image fusionAccuracyInfluencing factors |
| spellingShingle | Lei-Hao Hu Wen-Bo Zhang Yao Yu Zhi-Peng Sun Guang-Yan Yu Xin Peng Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study BMC Oral Health Oral and maxillofacial tumors Multimodal image fusion Accuracy Influencing factors |
| title | Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study |
| title_full | Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study |
| title_fullStr | Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study |
| title_full_unstemmed | Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study |
| title_short | Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study |
| title_sort | factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors a retrospective study |
| topic | Oral and maxillofacial tumors Multimodal image fusion Accuracy Influencing factors |
| url | https://doi.org/10.1186/s12903-022-02679-0 |
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