Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT.
Cone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage of lower dosage than multidetector computed tomography (MDCT; also simply referred to as CT). However, in CBCT, due to the cone-shaped geometry of the X-ray source and the absence of post-patient collima...
| 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.0285608 |
| _version_ | 1797802047388516352 |
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| author | Kanghyun Ryu Chena Lee Yoseob Han Subeen Pang Young Hyun Kim Chanyeol Choi Ikbeom Jang Sang-Sun Han |
| author_facet | Kanghyun Ryu Chena Lee Yoseob Han Subeen Pang Young Hyun Kim Chanyeol Choi Ikbeom Jang Sang-Sun Han |
| author_sort | Kanghyun Ryu |
| collection | DOAJ |
| description | Cone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage of lower dosage than multidetector computed tomography (MDCT; also simply referred to as CT). However, in CBCT, due to the cone-shaped geometry of the X-ray source and the absence of post-patient collimation, the presence of more scattering rays deteriorates the image quality compared with MDCT. CBCT is commonly used in dental clinics, and image artifacts negatively affect the radiology workflow and diagnosis. Studies have attempted to eliminate image artifacts and improve image quality; however, a vast majority of that work sacrificed structural details of the image. The current study presents a novel approach to reduce image artifacts while preserving details and sharpness in the original CBCT image for precise diagnostic purposes. We used MDCT images as reference high-quality images. Pairs of CBCT and MDCT scans were collected retrospectively at a university hospital, followed by co-registration between the CBCT and MDCT images. A contextual loss-optimized multi-planar 2.5D U-Net was proposed. Images corrected using this model were evaluated quantitatively and qualitatively by dental clinicians. The quantitative metrics showed superior quality in output images compared to the original CBCT. In the qualitative evaluation, the generated images presented significantly higher scores for artifacts, noise, resolution, and overall image quality. This proposed novel approach for noise and artifact reduction with sharpness preservation in CBCT suggests the potential of this method for diagnostic imaging. |
| first_indexed | 2024-03-13T04:59:47Z |
| format | Article |
| id | doaj.art-842da2a54b66485c905269a44032324e |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-13T04:59:47Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-842da2a54b66485c905269a44032324e2023-06-17T05:31:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028560810.1371/journal.pone.0285608Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT.Kanghyun RyuChena LeeYoseob HanSubeen PangYoung Hyun KimChanyeol ChoiIkbeom JangSang-Sun HanCone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage of lower dosage than multidetector computed tomography (MDCT; also simply referred to as CT). However, in CBCT, due to the cone-shaped geometry of the X-ray source and the absence of post-patient collimation, the presence of more scattering rays deteriorates the image quality compared with MDCT. CBCT is commonly used in dental clinics, and image artifacts negatively affect the radiology workflow and diagnosis. Studies have attempted to eliminate image artifacts and improve image quality; however, a vast majority of that work sacrificed structural details of the image. The current study presents a novel approach to reduce image artifacts while preserving details and sharpness in the original CBCT image for precise diagnostic purposes. We used MDCT images as reference high-quality images. Pairs of CBCT and MDCT scans were collected retrospectively at a university hospital, followed by co-registration between the CBCT and MDCT images. A contextual loss-optimized multi-planar 2.5D U-Net was proposed. Images corrected using this model were evaluated quantitatively and qualitatively by dental clinicians. The quantitative metrics showed superior quality in output images compared to the original CBCT. In the qualitative evaluation, the generated images presented significantly higher scores for artifacts, noise, resolution, and overall image quality. This proposed novel approach for noise and artifact reduction with sharpness preservation in CBCT suggests the potential of this method for diagnostic imaging.https://doi.org/10.1371/journal.pone.0285608 |
| spellingShingle | Kanghyun Ryu Chena Lee Yoseob Han Subeen Pang Young Hyun Kim Chanyeol Choi Ikbeom Jang Sang-Sun Han Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. PLoS ONE |
| title | Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. |
| title_full | Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. |
| title_fullStr | Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. |
| title_full_unstemmed | Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. |
| title_short | Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT. |
| title_sort | multi planar 2 5d u net for image quality enhancement of dental cone beam ct |
| url | https://doi.org/10.1371/journal.pone.0285608 |
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