Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method
Bone structure metrics are vital for the evaluation of vertebral bone strength. However, the gold standard for measuring bone structure metrics, micro-Computed Tomography (micro-CT), cannot be used in vivo, which hinders the early diagnosis of fragility fractures. This paper used an unpaired image-t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/6/716 |
| _version_ | 1827738545312235520 |
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| author | Dan Jin Han Zheng Huishu Yuan |
| author_facet | Dan Jin Han Zheng Huishu Yuan |
| author_sort | Dan Jin |
| collection | DOAJ |
| description | Bone structure metrics are vital for the evaluation of vertebral bone strength. However, the gold standard for measuring bone structure metrics, micro-Computed Tomography (micro-CT), cannot be used in vivo, which hinders the early diagnosis of fragility fractures. This paper used an unpaired image-to-image translation method to capture the mapping between clinical multidetector computed tomography (MDCT) and micro-CT images and then generated micro-CT-like images to measure bone structure metrics. MDCT and micro-CT images were scanned from 75 human lumbar spine specimens and formed training and testing sets. The generator in the model focused on learning both the structure and detailed pattern of bone trabeculae and generating micro-CT-like images, and the discriminator determined whether the generated images were micro-CT images or not. Based on similarity metrics (i.e., SSIM and FID) and bone structure metrics (i.e., bone volume fraction, trabecular separation and trabecular thickness), a set of comparisons were performed. The results show that the proposed method can perform better in terms of both similarity metrics and bone structure metrics and the improvement is statistically significant. In particular, we compared the proposed method with the paired image-to-image method and analyzed the pros and cons of the method used. |
| first_indexed | 2024-03-11T02:45:51Z |
| format | Article |
| id | doaj.art-986942a8b7ce4c8f8749dc45cb471a69 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-11T02:45:51Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-986942a8b7ce4c8f8749dc45cb471a692023-11-18T09:21:46ZengMDPI AGBioengineering2306-53542023-06-0110671610.3390/bioengineering10060716Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation MethodDan Jin0Han Zheng1Huishu Yuan2Department of Radiology, Peking University Third Hospital, Beijing 100191, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Radiology, Peking University Third Hospital, Beijing 100191, ChinaBone structure metrics are vital for the evaluation of vertebral bone strength. However, the gold standard for measuring bone structure metrics, micro-Computed Tomography (micro-CT), cannot be used in vivo, which hinders the early diagnosis of fragility fractures. This paper used an unpaired image-to-image translation method to capture the mapping between clinical multidetector computed tomography (MDCT) and micro-CT images and then generated micro-CT-like images to measure bone structure metrics. MDCT and micro-CT images were scanned from 75 human lumbar spine specimens and formed training and testing sets. The generator in the model focused on learning both the structure and detailed pattern of bone trabeculae and generating micro-CT-like images, and the discriminator determined whether the generated images were micro-CT images or not. Based on similarity metrics (i.e., SSIM and FID) and bone structure metrics (i.e., bone volume fraction, trabecular separation and trabecular thickness), a set of comparisons were performed. The results show that the proposed method can perform better in terms of both similarity metrics and bone structure metrics and the improvement is statistically significant. In particular, we compared the proposed method with the paired image-to-image method and analyzed the pros and cons of the method used.https://www.mdpi.com/2306-5354/10/6/716micro-CT-like imagesunpaired image-to-image translationvertebraebone structure |
| spellingShingle | Dan Jin Han Zheng Huishu Yuan Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method Bioengineering micro-CT-like images unpaired image-to-image translation vertebrae bone structure |
| title | Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method |
| title_full | Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method |
| title_fullStr | Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method |
| title_full_unstemmed | Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method |
| title_short | Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method |
| title_sort | exploring the possibility of measuring vertebrae bone structure metrics using mdct images an unpaired image to image translation method |
| topic | micro-CT-like images unpaired image-to-image translation vertebrae bone structure |
| url | https://www.mdpi.com/2306-5354/10/6/716 |
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