A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation
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{"title"=>"A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation", "type"=>"journal", "authors"=>[{"first_name"=>"Haewon", "last_name"=>"Nam", "scopus_author_id"=>"43561526100"}, {"first_name"=>"Jongduk", "last_name"=>"Baek", "scopus_author_id"=>"22633603600"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-85020744395", "sgr"=>"85020744395", "doi"=>"10.1371/journal.pone.0179022", "pui"=>"616749252", "pmid"=>"28604794", "isbn"=>"1111111111", "issn"=>"19326203"}, "id"=>"c0052ff0-49b2-38f0-bf85-2a07d92761ed", "abstract"=>"We propose a novel metal artifact reduction (MAR) algorithm for CT images that completes a corrupted sinogram along the metal trace region. When metal implants are located inside a field of view, they create a barrier to the transmitted X-ray beam due to the high attenuation of metals, which significantly degrades the image quality. To fill in the metal trace region effi- ciently, the proposed algorithm uses multiple prior images with residual error compensation in sinogram space. Multiple prior images are generated by applying a recursive active con- tour (RAC) segmentation algorithm to the pre-corrected image acquired by MAR with linear interpolation, where the number of prior image is controlled by RAC depending on the object complexity. A sinogram basis is then acquired by forward projection of the prior images. The metal trace region of the original sinogram is replaced by the linearly combined sinogram of the prior images. Then, the additional correction in the metal trace region is performed to compensate the residual errors occurred by non-ideal data acquisition condition. The perfor- mance of the proposed MAR algorithm is compared with MAR with linear interpolation and the normalized MAR algorithm using simulated and experimental data. The results show that the proposed algorithm outperforms other MAR algorithms, especially when the object is complex with multiple bone objects.", "link"=>"http://www.mendeley.com/research/metal-artifact-reduction-algorithm-ct-using-multiple-prior-images-recursive-active-contour-segmentat", "reader_count"=>10, "reader_count_by_academic_status"=>{"Researcher"=>2, "Student > Doctoral Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Researcher"=>2, "Student > Doctoral Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>1, "Physics and Astronomy"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>1}

Scopus | Further Information

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