A local maximum intensity projection tracing of vasculature in knife-edge scanning microscope volume data

  • Authors:

  • Donghyeop Han;John Keyser;Yoonsuck Choe

  • Affiliations:

  • Texas A&M University, Department of Computer Science, College Station, TX;Texas A&M University, Department of Computer Science, College Station, TX;Texas A&M University, Department of Computer Science, College Station, TX

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

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Abstract

A local maximum intensity projection (MIP) approach to the extraction of a 3D vascular network, acquired by the Knife-Edge Scanning Microscope (KESM), is presented. We build a local volume for local MIP processing at each tracing step in order to reduce the dimension of input data from 3D to 2D, which leads to a 65.22% reduction of computation time compared to 3D tracing method. The proposed method makes use of existing 2D tracing methods, extending them into a 3D tracing method. Our experimental results show that our approach can rapidly and accurately extract the medial axis of vascular data acquired by the KESM.