Model based iterative reconstruction IMR gives possibility to evaluate thinner slice thicknesses than conventional iterative reconstruction iDose(4) - a phantom study

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Aurumskjöld, Marie-LouiseLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups (författare)

Model based iterative reconstruction IMR gives possibility to evaluate thinner slice thicknesses than conventional iterative reconstruction iDose(4) - a phantom study

Artikel/kapitelEngelska2015

Förlag, utgivningsår, omfång ...

SPIE,2015

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LIBRIS-ID:oai:lup.lub.lu.se:24cc2f4f-776d-4715-8abb-32f14bc74d99
https://lup.lub.lu.se/record/7606144URI
https://doi.org/10.1117/12.2081824DOI
https://lup.lub.lu.se/record/5466037URI
https://lup.lub.lu.se/record/5466031URI

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Språk:engelska
Sammanfattning på:engelska

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Ämneskategori:kon swepub-publicationtype
Ämneskategori:ref swepub-contenttype

Anmärkningar

Computed tomography (CT) is one of the most important modalities in a radiological department, which produces images with high diagnostic confidence, but in some cases contributes to a high radiation dose to the patient. The radiation dose can be reduced by the use of advanced image reconstruction algorithms. This study was done on a Philips Brilliance iCT with iterative reconstruction iDose(4) and model-based iterative reconstruction IMR. The purpose was to investigate the effect on the image quality with thin slice images reconstructed with IMR, compared to standard slice thickness reconstructed with iDose(4). Objective measurements of noise and contrast-to-noise ratio were performed using an image quality phantom, an anthropomorphic phantom and clinical cases. Subjective evaluations of low-contrast resolution were performed by observers using an image quality phantom. IMR gives strong noise reduction and enhanced low-contrast and thereby enable selection of thinner slice thickness. Objective evaluation of image noise shows that thin slices reconstructed with IMR provides lower noise than thicker slice images reconstructed with iDose(4). With IMR the slice thickness is of less importance for the noise. With thinner slices the partial volume artefacts becomes less pronounced. In conclusion, we have shown that IMR enables reduction of the slice thickness and at the same time maintain or even reduce the noise level compared to iDose(4) reconstruction with standard slice thickness. This will subsequently result in an improvement of image quality for images reconstructed with IMR.

Ämnesord och genrebeteckningar

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Radiologi och bildbehandling hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Radiology, Nuclear Medicine and Medical Imaging hsv//eng
computed tomography
iterative reconstruction
image quality

Biuppslag (personer, institutioner, konferenser, titlar ...)

Ydstrom, Kristina (författare)
Tingberg, AndersLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups(Swepub:lu)rfa-ati (författare)
Söderberg, MarcusLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups(Swepub:lu)med-msg (författare)
Norrgren, Kristina (författare)
Medicinsk strålningsfysik, MalmöForskargrupper vid Lunds universitet (creator_code:org_t)

Sammanhörande titlar

Ingår i:Medical Imaging 2015: Physics of Medical Imaging: SPIE9412, s. 94124-941241996-756X0277-786X

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Medical Imaging 2015: Physics of Medical Imaging (Sök värdpublikationen i LIBRIS)

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Av författaren/redakt...: Aurumskjöld, Mar ...; Ydstrom, Kristin ...; Tingberg, Anders; Söderberg, Marcu ...; Norrgren, Kristi ...

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MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Radiologi och bi ...

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Av lärosätet: Lunds universitet

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