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Assessment of image quality in abdominal computed tomography: Effect of model-based iterative reconstruction, multi-planar reconstruction and slice thickness on potential dose reduction
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Diagnostikcentrum, Röntgenkliniken i Linköping. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-4013-4615
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Diagnostikcentrum, Medicinsk strålningsfysik.
KTH Royal Inst Technol, Sweden.
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Diagnostikcentrum, Röntgenkliniken i Linköping. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-9446-6981
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2020 (engelsk)Inngår i: European Journal of Radiology, ISSN 0720-048X, E-ISSN 1872-7727, Vol. 122, artikkel-id 108703Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Purpose: To determine the effect of tube load, model-based iterative reconstruction (MBIR) strength and slice thickness in abdominal CT using visual comparison of multi-planar reconstruction images. Method: Five image criteria were assessed independently by four radiologists on two data sets at 42- and 98-mAs tube loads for 25 patients examined on a 192-slice dual-source CT scanner. Effect of tube load, MBIR strength, slice thickness and potential dose reduction was estimated with Visual Grading Regression (VGR). Objective image quality was determined by measuring noise (SD), contrast-to-noise (CNR) ratio and noise-power spectra (NPS). Results: Comparing 42- and 98-mAs tube loads, improved image quality was observed as a strong effect of log tube load regardless of MBIR strength (p amp;lt; 0.001). Comparing strength 5 to 3, better image quality was obtained for two criteria (p amp;lt; 0.01), but inferior for liver parenchyma and overall image quality. Image quality was significantly better for slice thicknesses of 2mm and 3mm compared to 1mm, with potential dose reductions between 24%-41%. As expected, with decrease in slice thickness and algorithm strength, the noise power and SD (HU-values) increased, while the CNR decreased. Conclusion: Increasing slice thickness from 1 mm to 2 mm or 3 mm allows for a possible dose reduction. MBIR strength 5 shows improved image quality for three out of five criteria for 1 mm slice thickness. Increasing MBIR strength from 3 to 5 has diverse effects on image quality. Our findings do not support a general recommendation to replace strength 3 by strength 5 in clinical abdominal CT protocols. However, strength 5 may be used in task-based protocols.

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ELSEVIER IRELAND LTD , 2020. Vol. 122, artikkel-id 108703
Emneord [en]
Computed tomography; Abdomen; Iterative reconstruction; Dose; Slice thickness; Multi-planar reconstruction (MPR)
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Identifikatorer
URN: urn:nbn:se:liu:diva-163101DOI: 10.1016/j.ejrad.2019.108703ISI: 000505150900002PubMedID: 31810641OAI: oai:DiVA.org:liu-163101DiVA, id: diva2:1385080
Merknad

Funding Agencies|ALF-and LFoU-grants from Region Ostergotland; Medical Faculty at Linkoping University

Tilgjengelig fra: 2020-01-13 Laget: 2020-01-13 Sist oppdatert: 2020-02-14

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