Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework.

Journal: European radiology experimental
PMID: 38744784

Abstract

BACKGROUND: This study investigates the potential of diffusion tensor imaging (DTI) in identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion-diffusion mismatch (PDM), utilizing a stack-based ensemble machine learning (ML) approach with enhanced explainability.

Authors

  • Duen-Pang Kuo
    Department of Medical Imaging, Taipei Medical University Hospital, No.250, Wu-Hsing St, Taipei, 11031, Taiwan.
  • Yung-Chieh Chen
    Department of Medical Imaging, Taipei Medical University Hospital, No.250, Wu-Hsing St, Taipei, 11031, Taiwan.
  • Yi-Tien Li
    Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
  • Sho-Jen Cheng
    Department of Medical Imaging, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Kevin Li-Chun Hsieh
    Department of Medical Imaging, Taipei Medical University Hospital, No.250, Wu Hsing Street, Taipei, Taiwan.
  • Po-Chih Kuo
    Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan.
  • Chen-Yin Ou
    Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
  • Cheng-Yu Chen
    Department of Medical Imaging, Taipei Medical University Hospital, No.250, Wu-Hsing St, Taipei, 11031, Taiwan. sandy0932@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals