An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging
A John’s equation-based consistency condition (JECC) and restoration of corrupted projection had ever been proposed for the circular trajectory cone beam CT (CBCT) imaging. They attempted to derive the so-called JECC, i.e., a data consistency condition (DCC) from John’s equation. Unfortunately, ther...
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Veröffentlicht in: | Optik (Stuttgart) 2020-02, Vol.202, p.163603, Article 163603 |
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creator | Tang, Shaojie Li, Baolei Qiao, Zhiwei Zhu, Yining Guo, Cong Wang, Yupeng Yuan, Hao Yao, Tingwei Han, Jingting Hu, Yixiong Cao, Dong Deng, Yu Yu, Fuhua Shen, Jiandong Fan, Jiulun |
description | A John’s equation-based consistency condition (JECC) and restoration of corrupted projection had ever been proposed for the circular trajectory cone beam CT (CBCT) imaging. They attempted to derive the so-called JECC, i.e., a data consistency condition (DCC) from John’s equation. Unfortunately, there is an imperceptible incorrectness in their derivation, which is disproved here by following the line of their thought. The basic cause leading to the imperceptible incorrectness is that John’s equation was incorrectly applied to a characteristic manifold. |
doi_str_mv | 10.1016/j.ijleo.2019.163603 |
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The basic cause leading to the imperceptible incorrectness is that John’s equation was incorrectly applied to a characteristic manifold.</description><subject>Characteristic manifold</subject><subject>Cone beam</subject><subject>Consistency condition</subject><subject>John’s equation</subject><issn>0030-4026</issn><issn>1618-1336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kEtOwzAQhi0EEqVwAja-QMK4Tu10waKqeAqJTVlbjj0pjlq72Gml7rgG1-MkOJQ1q3lo_pl_PkKuGZQMmLjpStetMZQTYLOSCS6An5ARE6wuGOfilIwAOBQVTMQ5uUipAwApQY7Ibu6p22wxGtz2rlkjdd6EGNH0HlPKFbUY3d75FbW619QEn1zq0ZvDkFvXu-BpG8OGPod3__35lSh-7PSxHeIwhEWDekMXy3xKr_KqS3LW6nXCq784Jm_3d8vFY_Hy-vC0mL8UhgPvC4MCG97q6azlrGKGyUZk2_mjibTItGbCWKhribLWYCrWcm60FFxKK6qp4WPCj3tNDClFbNU2ZgvxoBiogZzq1C85NZBTR3JZdXtUYba2dxhVMi4_jNYNXJQN7l_9DxdeeyQ</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Tang, Shaojie</creator><creator>Li, Baolei</creator><creator>Qiao, Zhiwei</creator><creator>Zhu, Yining</creator><creator>Guo, Cong</creator><creator>Wang, Yupeng</creator><creator>Yuan, Hao</creator><creator>Yao, Tingwei</creator><creator>Han, Jingting</creator><creator>Hu, Yixiong</creator><creator>Cao, Dong</creator><creator>Deng, Yu</creator><creator>Yu, Fuhua</creator><creator>Shen, Jiandong</creator><creator>Fan, Jiulun</creator><general>Elsevier GmbH</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4704-9971</orcidid></search><sort><creationdate>202002</creationdate><title>An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging</title><author>Tang, Shaojie ; Li, Baolei ; Qiao, Zhiwei ; Zhu, Yining ; Guo, Cong ; Wang, Yupeng ; Yuan, Hao ; Yao, Tingwei ; Han, Jingting ; Hu, Yixiong ; Cao, Dong ; Deng, Yu ; Yu, Fuhua ; Shen, Jiandong ; Fan, Jiulun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-ce6eb3fa59f3141c17b677033627de1aa16cd0887e78a0c41f33ca76377d645c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Characteristic manifold</topic><topic>Cone beam</topic><topic>Consistency condition</topic><topic>John’s equation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Shaojie</creatorcontrib><creatorcontrib>Li, Baolei</creatorcontrib><creatorcontrib>Qiao, Zhiwei</creatorcontrib><creatorcontrib>Zhu, Yining</creatorcontrib><creatorcontrib>Guo, Cong</creatorcontrib><creatorcontrib>Wang, Yupeng</creatorcontrib><creatorcontrib>Yuan, Hao</creatorcontrib><creatorcontrib>Yao, Tingwei</creatorcontrib><creatorcontrib>Han, Jingting</creatorcontrib><creatorcontrib>Hu, Yixiong</creatorcontrib><creatorcontrib>Cao, Dong</creatorcontrib><creatorcontrib>Deng, Yu</creatorcontrib><creatorcontrib>Yu, Fuhua</creatorcontrib><creatorcontrib>Shen, Jiandong</creatorcontrib><creatorcontrib>Fan, Jiulun</creatorcontrib><collection>CrossRef</collection><jtitle>Optik (Stuttgart)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Shaojie</au><au>Li, Baolei</au><au>Qiao, Zhiwei</au><au>Zhu, Yining</au><au>Guo, Cong</au><au>Wang, Yupeng</au><au>Yuan, Hao</au><au>Yao, Tingwei</au><au>Han, Jingting</au><au>Hu, Yixiong</au><au>Cao, Dong</au><au>Deng, Yu</au><au>Yu, Fuhua</au><au>Shen, Jiandong</au><au>Fan, Jiulun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging</atitle><jtitle>Optik (Stuttgart)</jtitle><date>2020-02</date><risdate>2020</risdate><volume>202</volume><spage>163603</spage><pages>163603-</pages><artnum>163603</artnum><issn>0030-4026</issn><eissn>1618-1336</eissn><abstract>A John’s equation-based consistency condition (JECC) and restoration of corrupted projection had ever been proposed for the circular trajectory cone beam CT (CBCT) imaging. They attempted to derive the so-called JECC, i.e., a data consistency condition (DCC) from John’s equation. Unfortunately, there is an imperceptible incorrectness in their derivation, which is disproved here by following the line of their thought. The basic cause leading to the imperceptible incorrectness is that John’s equation was incorrectly applied to a characteristic manifold.</abstract><pub>Elsevier GmbH</pub><doi>10.1016/j.ijleo.2019.163603</doi><orcidid>https://orcid.org/0000-0003-4704-9971</orcidid></addata></record> |
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subjects | Characteristic manifold Cone beam Consistency condition John’s equation |
title | An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging |
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