serval:BIB_7A00B26E440F
Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT.
10.1177/2058460116662299
000382943400005
27635253
Barras
H.
author
Dunet
V.
author
Hachulla
A.L.
author
Grimm
J.
author
Beigelman-Aubry
C.
author
article
2016-08
Acta radiologica open
2058-4601
journal
5
8
2058460116662299
Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown.
To evaluate the influence on IQ of MBIR on native, mIP, MIP axial and coronal reformats of reduced dose computed tomography (RD-CT) chest acquisition.
Raw data of 50 patients, who underwent a standard dose CT (SD-CT) and a follow-up RD-CT with a CT dose index (CTDI) of 2-3 mGy, were reconstructed by MBIR and FBP. Native slices, 4-mm-thick MIP, and 3-mm-thick mIP axial and coronal reformats were generated. The relative IQ, subjective IQ, image noise, and number of artifacts were determined in order to compare different reconstructions of RD-CT with reference SD-CT.
The lowest noise was observed with MBIR. RD-CT reconstructed by MBIR exhibited the best relative and subjective IQ on coronal view regardless of the post-processing tool. MBIR generated the lowest rate of artefacts on coronal mIP/MIP reformats and the highest one on axial reformats, mainly represented by distortions and stairsteps artifacts.
The MBIR algorithm reduces image noise but generates more artifacts than FBP on axial mIP and MIP reformats of RD-CT. Conversely, it significantly improves IQ on coronal views, without increasing artifacts, regardless of the post-processing technique.
Multidetector computed tomography (MDCT)
image reconstruction
thorax
eng
60_published
true
peer-reviewed
Publication types: Journal Article
Publication Status: epublish
University of Lausanne
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