Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom
Background and purpose: Artefacts caused by dental amalgam implants present a common challenge in computed tomography (CT) and therefore treatment planning dose calculations. The goal was to perform a quantitative image quality analysis of our Artifact Management for Proton Planning (AMPP) algorithm...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Physics and Imaging in Radiation Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631621000075 |
| _version_ | 1819159466660069376 |
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| author | Daniela Branco Stephen Kry Paige Taylor John Rong Xiaodong Zhang Steven Frank David Followill |
| author_facet | Daniela Branco Stephen Kry Paige Taylor John Rong Xiaodong Zhang Steven Frank David Followill |
| author_sort | Daniela Branco |
| collection | DOAJ |
| description | Background and purpose: Artefacts caused by dental amalgam implants present a common challenge in computed tomography (CT) and therefore treatment planning dose calculations. The goal was to perform a quantitative image quality analysis of our Artifact Management for Proton Planning (AMPP) algorithm which used gantry tilts for managing metal artefacts on Head and Neck (HN) CT scans and major vendors’ commercial approaches. Materials and methods: Metal artefact reduction (MAR) algorithms were evaluated using an anthropomorphic phantom with a removable jaw for the acquisition of images with and without (baseline) metal artifacts. AMPP made use of two angled CT scans to generate one artifact-reduced image set. The MAR algorithms from four vendors were applied to the images with artefacts and the analysis was performed with respective baselines. Planar HU difference maps and volumetric HU differences were analyzed. Results: AMPP algorithm outperformed all vendors’ commercial approaches in the elimination of artefacts in the oropharyngeal region, showing the lowest percent of pixels outside +− 20 HU criteria, 4%; whereas those in the MAR-corrected images ranged from 26% to 67%. In the region of interest within the affected slices, the commercial MAR algorithms showed inconsistent performance, whereas the AMPP algorithm performed consistently well throughout the phantom’s posterior region. Conclusions: A novel MAR algorithm was evaluated and compared to four commercial algorithms using an anthropomorphic phantom. Unanimously, the analysis showed the AMPP algorithm outperformed vendors’ commercial approaches, showing the potential to be broadly implemented, improve visualizations in patient anatomy and provide accurate HU information. |
| first_indexed | 2024-12-22T16:41:00Z |
| format | Article |
| id | doaj.art-09781486556a4758a2da9fa54c99288e |
| institution | Directory Open Access Journal |
| issn | 2405-6316 |
| language | English |
| last_indexed | 2024-12-22T16:41:00Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics and Imaging in Radiation Oncology |
| spelling | doaj.art-09781486556a4758a2da9fa54c99288e2022-12-21T18:19:52ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162021-01-0117111116Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantomDaniela Branco0Stephen Kry1Paige Taylor2John Rong3Xiaodong Zhang4Steven Frank5David Followill6Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United States; Corresponding author.Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 607, Houston, TX 77030, United StatesBackground and purpose: Artefacts caused by dental amalgam implants present a common challenge in computed tomography (CT) and therefore treatment planning dose calculations. The goal was to perform a quantitative image quality analysis of our Artifact Management for Proton Planning (AMPP) algorithm which used gantry tilts for managing metal artefacts on Head and Neck (HN) CT scans and major vendors’ commercial approaches. Materials and methods: Metal artefact reduction (MAR) algorithms were evaluated using an anthropomorphic phantom with a removable jaw for the acquisition of images with and without (baseline) metal artifacts. AMPP made use of two angled CT scans to generate one artifact-reduced image set. The MAR algorithms from four vendors were applied to the images with artefacts and the analysis was performed with respective baselines. Planar HU difference maps and volumetric HU differences were analyzed. Results: AMPP algorithm outperformed all vendors’ commercial approaches in the elimination of artefacts in the oropharyngeal region, showing the lowest percent of pixels outside +− 20 HU criteria, 4%; whereas those in the MAR-corrected images ranged from 26% to 67%. In the region of interest within the affected slices, the commercial MAR algorithms showed inconsistent performance, whereas the AMPP algorithm performed consistently well throughout the phantom’s posterior region. Conclusions: A novel MAR algorithm was evaluated and compared to four commercial algorithms using an anthropomorphic phantom. Unanimously, the analysis showed the AMPP algorithm outperformed vendors’ commercial approaches, showing the potential to be broadly implemented, improve visualizations in patient anatomy and provide accurate HU information.http://www.sciencedirect.com/science/article/pii/S2405631621000075Computed X ray tomographyArtifactsHead and neck neoplasmsAlgorithmGantry tilts |
| spellingShingle | Daniela Branco Stephen Kry Paige Taylor John Rong Xiaodong Zhang Steven Frank David Followill Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom Physics and Imaging in Radiation Oncology Computed X ray tomography Artifacts Head and neck neoplasms Algorithm Gantry tilts |
| title | Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| title_full | Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| title_fullStr | Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| title_full_unstemmed | Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| title_short | Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| title_sort | evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom |
| topic | Computed X ray tomography Artifacts Head and neck neoplasms Algorithm Gantry tilts |
| url | http://www.sciencedirect.com/science/article/pii/S2405631621000075 |
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