Sparse Angle CBCT Reconstruction Based on Guided Image Filtering
Cone-beam Computerized Tomography (CBCT) has the advantages of high ray utilization and detection efficiency, short scan time, high spatial and isotropic resolution. However, the X-rays emitted by CBCT examination are harmful to the human body, so reducing the radiation dose without damaging the rec...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.832037/full |
| _version_ | 1818141162458841088 |
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| author | Siyuan Xu Bo Yang Congcong Xu Jiawei Tian Yan Liu Lirong Yin Shan Liu Wenfeng Zheng Chao Liu |
| author_facet | Siyuan Xu Bo Yang Congcong Xu Jiawei Tian Yan Liu Lirong Yin Shan Liu Wenfeng Zheng Chao Liu |
| author_sort | Siyuan Xu |
| collection | DOAJ |
| description | Cone-beam Computerized Tomography (CBCT) has the advantages of high ray utilization and detection efficiency, short scan time, high spatial and isotropic resolution. However, the X-rays emitted by CBCT examination are harmful to the human body, so reducing the radiation dose without damaging the reconstruction quality is the key to the reconstruction of CBCT. In this paper, we propose a sparse angle CBCT reconstruction algorithm based on Guided Image FilteringGIF, which combines the classic Simultaneous Algebra Reconstruction Technique(SART) and the Total p-Variation (TpV) minimization. Due to the good edge-preserving ability of SART and noise suppression ability of TpV minimization, the proposed method can suppress noise and artifacts while preserving edge and texture information in reconstructed images. Experimental results based on simulated and real-measured CBCT datasets show the advantages of the proposed method. |
| first_indexed | 2024-12-11T10:55:30Z |
| format | Article |
| id | doaj.art-7e15f37d6bf94ac78efea0215a22d2c1 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-11T10:55:30Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-7e15f37d6bf94ac78efea0215a22d2c12022-12-22T01:10:05ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-04-011210.3389/fonc.2022.832037832037Sparse Angle CBCT Reconstruction Based on Guided Image FilteringSiyuan Xu0Bo Yang1Congcong Xu2Jiawei Tian3Yan Liu4Lirong Yin5Shan Liu6Wenfeng Zheng7Chao Liu8School of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, United StatesSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Automation, University of Electronic Science and Technology of China, Chengdu, ChinaLaboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM), Unité Mixte de Recherche (UMR) 5506, French National Center for Scientific Research (CNRS) - University of Montpellier (UM), Montpellier, FranceCone-beam Computerized Tomography (CBCT) has the advantages of high ray utilization and detection efficiency, short scan time, high spatial and isotropic resolution. However, the X-rays emitted by CBCT examination are harmful to the human body, so reducing the radiation dose without damaging the reconstruction quality is the key to the reconstruction of CBCT. In this paper, we propose a sparse angle CBCT reconstruction algorithm based on Guided Image FilteringGIF, which combines the classic Simultaneous Algebra Reconstruction Technique(SART) and the Total p-Variation (TpV) minimization. Due to the good edge-preserving ability of SART and noise suppression ability of TpV minimization, the proposed method can suppress noise and artifacts while preserving edge and texture information in reconstructed images. Experimental results based on simulated and real-measured CBCT datasets show the advantages of the proposed method.https://www.frontiersin.org/articles/10.3389/fonc.2022.832037/fullCBCT reconstructionguided image filteringsimultaneous algebraic reconstruction techniquethe total p-Variation minimizationradiation therapy |
| spellingShingle | Siyuan Xu Bo Yang Congcong Xu Jiawei Tian Yan Liu Lirong Yin Shan Liu Wenfeng Zheng Chao Liu Sparse Angle CBCT Reconstruction Based on Guided Image Filtering Frontiers in Oncology CBCT reconstruction guided image filtering simultaneous algebraic reconstruction technique the total p-Variation minimization radiation therapy |
| title | Sparse Angle CBCT Reconstruction Based on Guided Image Filtering |
| title_full | Sparse Angle CBCT Reconstruction Based on Guided Image Filtering |
| title_fullStr | Sparse Angle CBCT Reconstruction Based on Guided Image Filtering |
| title_full_unstemmed | Sparse Angle CBCT Reconstruction Based on Guided Image Filtering |
| title_short | Sparse Angle CBCT Reconstruction Based on Guided Image Filtering |
| title_sort | sparse angle cbct reconstruction based on guided image filtering |
| topic | CBCT reconstruction guided image filtering simultaneous algebraic reconstruction technique the total p-Variation minimization radiation therapy |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.832037/full |
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