Interior Reconstruction from Truncated Projection Data in Cone-beam Computed Tomography.
The interior reconstruction of completely truncated projection data is a frontier research hotspot in cone-beam computed tomography (CBCT) application. It is difficult to find a method with acceptable accuracy and high efficiency to solve it. Based on the simplified algebraic reconstruction techniqu...
| Publicado en: | Journal of Digital Imaging Vol. 36; no. 1; pp. 250 - 259 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162233251&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162233251 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Feb2023 vid: 36 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 162233251 158769225 162233251 162233251 10.1007/s10278-022-00695-8 162233251 ppf: 250 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Interior Reconstruction from Truncated Projection Data in Cone-beam Computed Tomography. aug: au: Xianchao, Wang Shaoyi, Li Changhui, Hou affil: School of Artificial Intelligence, Nanchang Institute of Science and Technology, 330108, Nanchang, China sug: subj: Tomography, X-Ray Computed Methods Image Enhancement Methods Image Processing, Computer Assisted Methods Algorithms Simulations Productivity Phantoms, Imaging ab: The interior reconstruction of completely truncated projection data is a frontier research hotspot in cone-beam computed tomography (CBCT) application. It is difficult to find a method with acceptable accuracy and high efficiency to solve it. Based on the simplified algebraic reconstruction technique (S-ART) algorithm and the filtered back projection (FBP) algorithm with the new filter, an efficient and feasible interior reconstruction algorithm is proposed in this paper. The algorithm uses the S-ART algorithm to quickly recover the complete projection data and then uses the new ramp filter which can suppress the high-frequency noise in the projection data to filter the recovered complete projection data. Finally, the interior reconstructed images are obtained by back projection. The computational complexity of the proposed algorithm is close to that of the FBP algorithm for the reconstruction of the whole object, and the reconstructed image quality is acceptable, which provides an effective method for interior reconstruction in CBCT. Simulation results show the effectiveness of the method. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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