Imaging of small spherical structures in CT: simulation study using measured point spread function.
Size and density measurements of objects undertaken using computed tomography (CT) are clinically significant for diagnosis. To evaluate the accuracy of these quantifications, we simulated three-dimensional (3D) CT image blurring; this involved the calculation of the convolution of the 3D object fun...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 3; pp. 273 - 283 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2008
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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=105747483&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105747483 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2008 vid: 46 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105747483 NLM17994259 2009889701 10.1007/s11517-007-0283-x NLM17994259 105747483 ppf: 273 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Imaging of small spherical structures in CT: simulation study using measured point spread function. aug: au: Ohkubo M Wada S Kunii M Matsumoto T Nishizawa K Ohkubo, Masaki Wada, Shinichi Kunii, Masayuki Matsumoto, Toru Nishizawa, Kanae affil: Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University, Niigata, Japan sug: subj: Image Interpretation, Computer Assisted Methods Tomography, X-Ray Computed Methods Algorithms Diagnostic Imaging Methods Phantoms, Imaging Reproducibility of Results Human ab: Size and density measurements of objects undertaken using computed tomography (CT) are clinically significant for diagnosis. To evaluate the accuracy of these quantifications, we simulated three-dimensional (3D) CT image blurring; this involved the calculation of the convolution of the 3D object function with the measured 3D point spread function (PSF). We initially validated the simulation technique by performing a phantom experiment. Blurred computed images showed good 3D agreement with measured images of the phantom. We used this technique to compute the 3D blurred images from the object functions, in which functions are determined to have the shape of an ideal sphere of varying diameter and assume solitary pulmonary nodules with a uniform density. The accuracy of diameter and density measurements was determined. We conclude that the proposed simulation technique enables us to estimate the image blurring precisely of any 3D structure and to analyze clinical images quantitatively. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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