The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography
Aged, 80 and over
Male
Computed Tomography Angiography
Arteries
Middle Aged
03 medical and health sciences
Imaging, Three-Dimensional
0302 clinical medicine
Liver
Image Processing, Computer-Assisted
Humans
Radiographic Image Interpretation, Computer-Assisted
Female
Algorithms
Aged
Retrospective Studies
DOI:
10.1007/s11604-019-00839-x
Publication Date:
2019-04-30T13:33:28Z
AUTHORS (9)
ABSTRACT
To evaluate the potential of full-iterative reconstruction (IR) for improving image quality of the cystic artery on CT angiography and to assess observer performance.Thirty patients who underwent both liver dynamic CT and conventional angiography were included in this retrospective study. All CT data were reconstructed through filtered back projection (FBP), adaptive iterative dose reduction 3D (AIDR3D), and forward-projected, model-based, iterative reconstruction solution (FIRST), respectively. In objective study, we analyzed mean ΔCT numbers (the difference between the HU peak of the vessel and the background) and full-width at tenth-maximum (FWTM) of three parts of the cystic artery by profile curve method comparing the three reconstructions. Subjectively, visualization was evaluated using a four-point scale performed by two blinded observers. ANOVA was used for statistical analysis.In all parts of the cystic artery, the mean ΔCT number of FIRST was shown to be significantly better than that of FBP and AIDR3D (p < 0.05). FWTM in FIRST was the smallest in all of the vessels. The mean visualization score was significantly better with FIRST than with other CT reconstructions (p < 0.05).The FIRST algorithm led to improved CTA visualization of the cystic artery.
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