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Dataset Information

1024-pixel image matrix for chest CT - Impact on image quality of bronchial structures in phantoms and patients.


ABSTRACT:

Objectives

To compare objective and subjective image quality of bronchial structures between a 512-pixel and a 1024-pixel image matrix for chest CT in phantoms and in patients.

Materials and methods

First, a two-size chest phantom was imaged at two radiation doses on a 192-slice CT scanner. Datasets were reconstructed with 512-, 768-, and 1024-pixel image matrices and a sharp reconstruction kernel (Bl64). Image sharpness and normalized noise power spectrum (nNPS) were quantified. Second, chest CT images of 100 patients were reconstructed with 512- and 1024-pixel matrices and two blinded readers independently assessed objective and subjective image quality. In each patient dataset, the highest number of visible bronchi was counted for each lobe of the right lung. A linear mix

SUBMITTER: Euler A 

PROVIDER: S-EPMC7297335 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature