Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets.
This paper presents a novel method which reconstructs any desired 3D image resolution from raw cone-beam CT data. X-ray attenuation through the object is approximated using ridgelet basis functions which allow us to have multiresolution representation levels. Since the Radon data have preferential o...
| Publicado en: | Journal of Digital Imaging Vol. 24; no. 6; pp. 1087 - 1096 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2011
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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=104596133&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104596133 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2011 vid: 24 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104596133 67104990 10.1007/s10278-011-9369-y NLM21360215 104596133 ppf: 1087 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets. aug: au: Gómez, Francisco Santa Marta, Cristina Romero, Eduardo affil: Bioingenium Research Group, Cra 30 No 45 03-Ciudad Universitaria, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC Colombia sug: subj: Radiographic Image Enhancement Methods Tomography, X-Ray Computed Human Evaluation Research ab: This paper presents a novel method which reconstructs any desired 3D image resolution from raw cone-beam CT data. X-ray attenuation through the object is approximated using ridgelet basis functions which allow us to have multiresolution representation levels. Since the Radon data have preferential orientations by nature, a spherical wavelet transform is used to compute the ridgelet coefficients from the Radon shell data. The whole method uses the classical Grangeat's relation for computing derivatives of the Radon data which are then integrated and projected to a spherical wavelet representation and back-reconstructed using a modified version of the well known back-projection algorithm. Unlike previous reconstruction methods, this proposal uses a multiscale representation of the Radon data and therefore allows fast display of low-resolution data level. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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