SIFT-GVF-based lung edge correction method for correcting the lung region in CT images.
Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and gradient vector flow models in this study. First, the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0282107 |
| _version_ | 1797848129939177472 |
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| author | Xin Li Bin Feng Sai Qiao Haiyan Wei Changli Feng |
| author_facet | Xin Li Bin Feng Sai Qiao Haiyan Wei Changli Feng |
| author_sort | Xin Li |
| collection | DOAJ |
| description | Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and gradient vector flow models in this study. First, the scale-invariant feature transform method was utilized to detect all scale-invariant points in the binary lung region. The boundary points in the neighborhood of a scale-invariant point were collected to form the supportive boundary lines. Then, we utilized a Fourier descriptor to obtain a character representation of each supportive boundary line. Spectrum energy recognizes supportive boundaries that must be corrected. Third, the gradient vector flow-snake method was presented to correct the recognized supportive borders with a smooth profile curve, giving an ideal correction edge in those regions. Finally, the performance of the proposed method was evaluated through experiments on multiple authentic computed tomography images. The perfect results and robustness proved that the proposed method could correct the juxtapleural region precisely. |
| first_indexed | 2024-04-09T18:22:30Z |
| format | Article |
| id | doaj.art-bc379b0f6fd64118a3305a05d41d7585 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-09T18:22:30Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-bc379b0f6fd64118a3305a05d41d75852023-04-12T05:32:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182e028210710.1371/journal.pone.0282107SIFT-GVF-based lung edge correction method for correcting the lung region in CT images.Xin LiBin FengSai QiaoHaiyan WeiChangli FengJuxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and gradient vector flow models in this study. First, the scale-invariant feature transform method was utilized to detect all scale-invariant points in the binary lung region. The boundary points in the neighborhood of a scale-invariant point were collected to form the supportive boundary lines. Then, we utilized a Fourier descriptor to obtain a character representation of each supportive boundary line. Spectrum energy recognizes supportive boundaries that must be corrected. Third, the gradient vector flow-snake method was presented to correct the recognized supportive borders with a smooth profile curve, giving an ideal correction edge in those regions. Finally, the performance of the proposed method was evaluated through experiments on multiple authentic computed tomography images. The perfect results and robustness proved that the proposed method could correct the juxtapleural region precisely.https://doi.org/10.1371/journal.pone.0282107 |
| spellingShingle | Xin Li Bin Feng Sai Qiao Haiyan Wei Changli Feng SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. PLoS ONE |
| title | SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. |
| title_full | SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. |
| title_fullStr | SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. |
| title_full_unstemmed | SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. |
| title_short | SIFT-GVF-based lung edge correction method for correcting the lung region in CT images. |
| title_sort | sift gvf based lung edge correction method for correcting the lung region in ct images |
| url | https://doi.org/10.1371/journal.pone.0282107 |
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