4.5 Article

Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction Study for the application of deep learning noise reduction technology in low dose

Journal

EUROPEAN JOURNAL OF RADIOLOGY
Volume 135, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2020.109487

Keywords

Computed tomography; Deep learning; Radiation dosage; Image reconstruction

Funding

  1. 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University [ZYGD18019]
  2. Science and Technology Program of Sichuan [2019YFS0522]

Ask authors/readers for more resources

The study found that using DELTA for half-dose contrast-enhanced liver CT scans can significantly reduce dosage by approximately 49% compared to using HIR for standard-dose CT, while maintaining image quality.
Purpose: This study compares the image and diagnostic qualities of a DEep Learning Trained Algorithm (DELTA) for half-dose contrast-enhanced liver computed tomography (CT) with those of a commercial hybrid iterative reconstruction (HIR) method used for standard-dose CT (SDCT). Methods: This study enrolled 207 adults, and they were divided into two groups: SDCT and low-dose CT (LDCT). SDCT was reconstructed using the HIR method (SDCTHIR), and LDCT was reconstructed using both the HIR method (LDCTHIR) and DELTA (LDCTDL). Noise, Hounsfield unit (HU) values, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between three image series. Two radiologists assessed the noise, artefacts, overall image quality, visualisation of critical anatomical structures and lesion detection, characterisation and visualisation. Results: The mean effective doses were 5.64 +/- 1.96 mSv for SDCT and 2.87 +/- 0.87 mSv for LDCT. The noise of LDCTDL was significantly lower than that of SDCTHIR and LDCTHIR. The SNR and CNR of LDCTDL were significantly higher than those of the other two groups. The overall image quality, visualisation of anatomical structures and lesion visualisation between LDCTDL and SDCTHIR were not significantly different. For lesion detection, the sensitivities and specificities of SDCTHIR vs. LDCTDL were 81.9 % vs. 83.7 % and 89.1 % vs. 86.3 %, respectively, on a per-patient basis. SDCTHIR showed 75.4 % sensitivity and 82.6 % specificity for lesion characterisation on a per-patient basis, whereas LDCTDL showed 73.5 % sensitivity and 82.4 % specificity. Conclusions: LDCT with DELTA had approximately 49 % dose reduction compared with SDCT with HIR while maintaining image quality on contrast-enhanced liver CT.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available