Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region
Purpose X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application...
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| Vydané v: | International journal for computer assisted radiology and surgery Ročník 6; číslo 5; s. 635 - 640 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Berlin/Heidelberg
Springer-Verlag
01.09.2011
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| ISSN: | 1861-6410, 1861-6429, 1861-6429 |
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| Abstract | Purpose
X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method.
Methods
We took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out.
Results
Twelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed.
Conclusions
The modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region. |
|---|---|
| AbstractList | Purpose
X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method.
Methods
We took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out.
Results
Twelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed.
Conclusions
The modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region. X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method. We took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out. Twelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed. The modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region. X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method.PURPOSEX-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak artifacts. The purpose of the study is to reduce streak artifacts appeared on dental and maxillofacial X-ray CT images by the application of modified iterative restoration method.We took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out.METHODSWe took advantage of the aspect that adjacent CT images often depict very similar anatomical structures within the resulting collection of thin-slice images. CT images having streak artifacts were processed using the projection data of adjacent CT images. A modified iterative correction, the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm, was employed to reduce the streak artifact caused by metallic materials in the oral cavity. It approximates between the processed image and the original projection data. First, the projection data of an intact image were obtained, and then, the next image that had streak artifacts was processed. The projection data of the processed image were obtained, and the ML-EM method was applied to the next image again. Then, the successive iterative restoration was carried out.Twelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed.RESULTSTwelve adjacent images were processed. Each iterative restoration was carried out fifty times. Streak artifacts were observed on processed images at the initial stage, but some of them either suppressed or disappeared as the iteration progressed.The modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region.CONCLUSIONSThe modified ML-EM method was effective to reduce streak artifacts in X-ray CT images in dento-alveolar region. |
| Author | Hayakawa, Yoshihiko Dong, Jian Kondo, Atsushi Abe, Kosuke |
| Author_xml | – sequence: 1 givenname: Jian surname: Dong fullname: Dong, Jian email: mcs09801@std.kitami-it.ac.jp organization: Department of Computer Science, Faculty of Engineering, Kitami Institute of Technology – sequence: 2 givenname: Atsushi surname: Kondo fullname: Kondo, Atsushi organization: Department of Computer Science, Faculty of Engineering, Kitami Institute of Technology – sequence: 3 givenname: Kosuke surname: Abe fullname: Abe, Kosuke organization: Department of Computer Science, Faculty of Engineering, Kitami Institute of Technology – sequence: 4 givenname: Yoshihiko surname: Hayakawa fullname: Hayakawa, Yoshihiko organization: Department of Computer Science, Faculty of Engineering, Kitami Institute of Technology |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21207177$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1259/bjr/93741044 10.1016/S1076-6332(00)80576-0 10.3174/ajnr.A1654 10.1097/RCT.0b013e3181568b27 10.1007/BF02347809 10.1007/s11282-010-0037-6 10.2967/jnumed.107.049858 10.1118/1.3276777 10.1097/RCT.0b013e318149e215 10.1007/s12149-009-0254-4 10.1016/j.compmedimag.2009.02.003 10.1016/j.ijrobp.2006.09.045 10.1038/sj.dmfr.4600201 10.1118/1.2218062 10.1088/0031-9155/54/21/009 10.1088/0031-9155/51/2/004 |
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| Keywords | Dento-alveolar imaging X-ray CT image Iterative restoration Streak artifact reduction Maxillofacial imaging |
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X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of... X-ray computed tomography (CT) images in the dento-alveolar region are sometimes rendered unusable for diagnostic purposes due to the appearance of streak... |
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| SubjectTerms | Algorithms Computer Imaging Computer Science Health Informatics Humans Imaging Maxilla - diagnostic imaging Medicine Medicine & Public Health Original Article Pattern Recognition and Graphics Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiography, Dental - methods Radiology Sensitivity and Specificity Surgery Tomography, X-Ray Computed - methods Vision |
| Title | Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region |
| URI | https://link.springer.com/article/10.1007/s11548-010-0544-2 https://www.ncbi.nlm.nih.gov/pubmed/21207177 https://www.proquest.com/docview/883012228 |
| Volume | 6 |
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