William E. Higgins

William E. Higgins

William E. Higgins (F’03) received the B.S. degree in electrical engineering from the Massachusetts Institute of Technology, Cambridge, MA, USA, and the M.S. and Ph.D. degrees in electrical engineering from the University of Illinois, Urbana-Champaign, IL, USA.

He has held positions previously at the Honeywell Systems and Research Center, Minneapolis, MN, USA, and the Mayo Clinic, Rochester, MN, USA. He is currently a Distinguished Professor of electrical engineering, computer science and engineering, and bioengineering at the Pennsylvania State University, University Park, PA, USA. His research interests include multidimensional medical image processing, virtual endoscopy, and image-guided intervention systems, with an emphasis on applications for the chest.


Contributions

  • Efficient Bronchoscopic Video Summarization
    Efficient Bronchoscopic Video Summarization

    Guided by the bronchoscope’s video stream, a physician can navigate the complex three-dimensional (3-D) airway tree to collect tissue samples or administer a disease treatment. Unfortunately, physicians currently discard procedural video because of the overwhelming amount of data generated. We propose a robust automatic method for summarizing an endobronchial video stream. Overall, the method derives a true hierarchical decomposition from a procedural video, consisting of a shot set and constituent keyframe set. Results show that our method more efficiently covers the observed endobronchial regions than other keyframe-selection approaches and facilitates direct fusion with a patient’s 3-D chest computed-tomography scan.

  • Methods for 2D and 3D Endobronchial Ultrasound Image Segmentation

    We propose computer-based methods for segmenting 2D EBUS (Endobronchial ultrasound) frames and 3D EBUS sequences. Both segmentation methods compare very favorably to ground-truth results for a human lung-cancer patient EBUS database. We also demonstrate the potential of the methods for EBUS localization in a multimodal image-guided bronchoscopy system.

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