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Assessment of Perfusion by Dynamic Contrast-Enhanced Imaging Using a Deconvolution Approach Based on Regression and Singular Value Decomposition

  • Published:2004-12 Issue:12 Volume:23 Page:1532-1542
  • ISSN:0278-0062
  • Container-title:IEEE Transactions on Medical Imaging
  • language:en
  • Short-container-title:IEEE Trans. Med. Imaging

Author:

Koh T.S.,Wu X.Y.,Cheong L.H.,Lim C.C.T.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High resolution cerebral perfusion deconvolution via mixture of Gaussian model based on noise properties;7th International Conference on Image Formation in X-Ray Computed Tomography;2022-10-18

2. Noise modelling of perfusion CT images for robust hemodynamic parameter estimations;Physics in Medicine & Biology;2022-05-31

3. Towards Improved Robustness of Low-Dose CT Perfusion Imaging Via Joint Estimation of Structural CT and Functional CBF Images;2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI);2022-03-28

4. Low-Dose Dynamic CT Perfusion Denoising Without Training Data;Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health;2021

5. Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging;Contrast Media & Molecular Imaging;2020-11-22
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