[Stroke-p2pHD: Cross-modality generation model of cerebral infarction from CT to DWI images].
Year: 2025
Type: other
Abstract: Dis discriminator was constrained. In this study, the public Acute Ischemic Stroke Dataset (AISD) and the acute cerebral infarction dataset from Yantaishan Hospital were used to verify the performance of the Stroke-p2pHD model in synthesizing DWI based on CT. Compared with other methods, the Stroke-p2pHD model showed excellent quantitative results (mean-square error = 0.008, peak signal-to-noise ratio = 23.766, structural similarity = 0.743). At the same time, relevant experimental analyses such as computational efficiency verify that the Stroke-p2pHD model has great potential for clinical applications.
Source: PubMed
Authors: Qing Wang, Xinyao Zhao, Xinyue Liu, Zhimeng Zou, Haiwang Nan, Qiang Zheng
Institutions: Yantai University, Yantaishan Hospital
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4409905560