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Fig. 2 | BMC Medical Imaging

Fig. 2

From: Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection

Fig. 2

An infant with fever for 18 days and diagnosis of purulent meningitis. The scanning tube current was 150 mA, CTDI = 15.26 mGy, DLP = 183.21 mGy cm, AD were 5 mm images with FBP, 50%ASIR-V, 100%ASIR-V and DL-H, respectively, EH were 0.625 mm images. It can be observed that with the increase of ASIR-V weight, the noise of both the thick images and thin images decreased, but the blurred margins in 100% ASIR-V images were more pronounced (white arrows), and the subjective scores for the edges of gray and white matters were not improved. While the noise in DL-H images was reduced, the sharpness of edge maintained compared to FBP images, which is more suitable for observation

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