Effect of iterative reconstruction algorithm levels on noise index and figure-of-merit in CT pulmonary angiography examinations

Effect of iterative reconstruction algorithm levels on noise index and figure-of-merit in CT pulmonary angiography examinations

PURPOSE: To evaluate the influence of iterative reconstruction (IR) levels on Computed Tomography (CT) image quality and to establish Figure of Merit (FOM) value for CT Pulmonary Angiography (CTPA) examinations. METHODS: Images of 31 adult patients who underwent CTPA examinations in our institution...

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Bibliographic Details
Main Authors: Abbas, Z. (Author), Harun, H.H (Author), Ibahim, M.J (Author), Karim, M.K.A (Author), Muniandy, S.C (Author), Sabarudin, A. (Author)
Format: Article
Language:English
Published: IOS Press BV, 2020
Subjects:
Angiography
Blood vessels
Computerized tomography
CT pulmonary angiography
Figure of merit (FOM)
Figure of merits
figure-of-merit
Image quality
Image segmentation
Iterative methods
Iterative reconstruction
iterative reconstruction algorithm
Iterative reconstruction algorithms
Pulmonary artery
pulmonary embolism
Quality control
Quality performance
Scanning parameters
Signal to noise ratio
Signal-to-noise ratio
The region of interest (ROI)
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