A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging
In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high atten...
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| Veröffentlicht in: | Physics in medicine & biology 2020-12, Vol.65 (23), p.235039-235039 |
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| container_title | Physics in medicine & biology |
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| creator | Hao, Shilei Liu, Jin Chen, Yang Liu, Baodong Wei, Cunfeng Zhu, Jian Li, Baosheng |
| description | In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. Based on the directional characteristics of streaks, a semi-adaptive anisotropic diffusion filter was applied to the high frequency sub-bands after wavelet transformation (WASA). Qualitative and quantitative experiments were performed on phantom data and clinical data to prove the effectiveness of this method for photon starvation artifact suppression. |
| doi_str_mv | 10.1088/1361-6560/abb171 |
| format | Article |
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In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. Based on the directional characteristics of streaks, a semi-adaptive anisotropic diffusion filter was applied to the high frequency sub-bands after wavelet transformation (WASA). 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Med. Biol</addtitle><description>In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. Based on the directional characteristics of streaks, a semi-adaptive anisotropic diffusion filter was applied to the high frequency sub-bands after wavelet transformation (WASA). Qualitative and quantitative experiments were performed on phantom data and clinical data to prove the effectiveness of this method for photon starvation artifact suppression.</description><subject>Algorithms</subject><subject>anisotropic diffusion</subject><subject>artifact suppression</subject><subject>Bioengineering</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Life Sciences</subject><subject>Phantoms, Imaging</subject><subject>photon starvation</subject><subject>Photons</subject><subject>streak artifact</subject><subject>Tomography, X-Ray Computed</subject><subject>Wavelet Analysis</subject><subject>wavelet transform</subject><issn>0031-9155</issn><issn>1361-6560</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kDFPwzAQRi0EoqWwM6GMIBF6jhMnHqsKKFIlli5MluM4raskDrZTxL8nIaUb050-vftOegjdYnjCkGVzTCgOaUJhLvIcp_gMTU_ROZoCEBwynCQTdOXcHgDjLIov0YSQiBKCkyn6WARf4qAq5QNvReNKY-swF04VQbsz3jSB88IehNf9KqzXpZDeBa5rW6uc-02rrbHa7-pAN8FyE-habHWzvUYXpaicujnOGdq8PG-Wq3D9_vq2XKxDSVLwYQKCFlglNC7SjKU4LgsaiVSRLJJlyhQtZSHzIidAS8YoywkFKSnkREUSYzJDD2PtTlS8tf1z-82N0Hy1WPMhAwIsiRk5DOz9yLbWfHbKeV5rJ1VViUaZzvEopjRiEAHrURhRaY1zVpWnbgx8cM8H0XwQzUf3_cndsb3La1WcDv5k98DjCGjT8r3pbNN7-b_vB79-jV0</recordid><startdate>20201202</startdate><enddate>20201202</enddate><creator>Hao, Shilei</creator><creator>Liu, Jin</creator><creator>Chen, Yang</creator><creator>Liu, Baodong</creator><creator>Wei, Cunfeng</creator><creator>Zhu, Jian</creator><creator>Li, Baosheng</creator><general>IOP Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-6966-2342</orcidid></search><sort><creationdate>20201202</creationdate><title>A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging</title><author>Hao, Shilei ; Liu, Jin ; Chen, Yang ; Liu, Baodong ; Wei, Cunfeng ; Zhu, Jian ; Li, Baosheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-50a6d1e564d789714fd62a7e382cf79e6fcdcbdb306f9969b360cc60b3e2c113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>anisotropic diffusion</topic><topic>artifact suppression</topic><topic>Bioengineering</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Life Sciences</topic><topic>Phantoms, Imaging</topic><topic>photon starvation</topic><topic>Photons</topic><topic>streak artifact</topic><topic>Tomography, X-Ray Computed</topic><topic>Wavelet Analysis</topic><topic>wavelet transform</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hao, Shilei</creatorcontrib><creatorcontrib>Liu, Jin</creatorcontrib><creatorcontrib>Chen, Yang</creatorcontrib><creatorcontrib>Liu, Baodong</creatorcontrib><creatorcontrib>Wei, Cunfeng</creatorcontrib><creatorcontrib>Zhu, Jian</creatorcontrib><creatorcontrib>Li, Baosheng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hao, Shilei</au><au>Liu, Jin</au><au>Chen, Yang</au><au>Liu, Baodong</au><au>Wei, Cunfeng</au><au>Zhu, Jian</au><au>Li, Baosheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging</atitle><jtitle>Physics in medicine & biology</jtitle><stitle>PMB</stitle><addtitle>Phys. Med. Biol</addtitle><date>2020-12-02</date><risdate>2020</risdate><volume>65</volume><issue>23</issue><spage>235039</spage><epage>235039</epage><pages>235039-235039</pages><issn>0031-9155</issn><issn>1361-6560</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>In computed tomography, high attenuation occurs when x-rays pass through a dense region or a long path in the scanning object. In this case, only limited photons reach the detector, which causes photon starvation artifacts. The artifacts usually appear as streaks along the directions with high attenuation. It might lower the discrimination of minor structures and lead to misdiagnosis. Applying a local filter to the projection data adaptively is a common solution, however, if the parameters of projection-based filter are not well selected, new artifacts and noise might appear in the final image. In this paper, a post image processing technique was developed to suppress the photon starvation streak artifacts. 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| subjects | Algorithms anisotropic diffusion artifact suppression Bioengineering Humans Image Processing, Computer-Assisted - methods Life Sciences Phantoms, Imaging photon starvation Photons streak artifact Tomography, X-Ray Computed Wavelet Analysis wavelet transform |
| title | A wavelet transform-based photon starvation artifacts suppression algorithm in CT imaging |
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