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Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
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La reconstrucción de imágenes de aprendizaje profundo mejora la calidad de la imagen en la venografía de portal de

Chong Meng1, Xiaohan Liu1, Zhen Wang1

  • 1Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu 221002, China (C.M., X.L., Z.W., J.L., C.W., J.Y., B.S., D.Z., Z.L., X.W., K.X., Y.M.); School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu 221002, China (C.M., X.L., Z.W., J.L., C.W., J.Y., B.S., D.Z., Z.L., X.W., K.X., Y.M.); Provincial Engineering Research Center for Medical Imaging and Digital Medicine, Xuzhou, Jiangsu 221002, China (C.M., X.L., Z.W., J.L., C.W., J.Y., B.S., D.Z., Z.L., X.W., K.X., Y.M.).

Academic radiology
|January 3, 2026
PubMed
Resumen

No abstract available in PubMed .

Palabras clave:
Reconstrucción de imágenes de aprendizaje profundoVenografía por TC de doble energíaDoble dosis bajaTrasplante de hígadoImágenes virtuales monoenergéticas

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