Performance Evaluation of Image Segmentation Using Dual-Energy Spectral CT Images with Deep Learning Image Reconstruction: A Phantom Study

Performance Evaluation of Image Segmentation Using Dual-Energy Spectral CT Images with Deep Learning Image Reconstruction: A Phantom Study

<b>Objectives</b>: To evaluate the medical image segmentation performance of monochromatic images in various energy levels. <b>Methods</b>: The low-density module (25 mm in diameter, 6 Hounsfield Unit (HU) in density difference from background) from the ACR464 phantom was sca...

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Bibliographic Details
Main Authors: Haoyan Li, Zhenpeng Chen, Shuaiyi Gao, Jiaqi Hu, Zhihao Yang, Yun Peng, Jihang Sun
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Tomography
Subjects:
multi-slice CT
dual-energy CT
image enhancement
U-Net model
deep learning
image reconstruction
Online Access:https://www.mdpi.com/2379-139X/11/5/51
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