A LOCAL MAXIMUM INTENSITY PROJECTION TRACING OF VASCULATURE IN KNIFE-EDGE SCANNING MICROSCOPE VOLUME DATA Conference Paper

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. 2009 IEEE.

name of conference

• 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

authors

• Choe, Yoonsuck
• Keyser, John

published proceedings

• 2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2

author list (cited authors)

• Han, D., Keyser, J., & Choe, Y.

citation count

• 4

complete list of authors

• Han, Donghyeop||Keyser, John||Choe, Yoonsuck

publication date

• June 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging  Journal

keywords

• Dimension Reduction
• Hessian Filter
• Local Mip
• Tracing
• Vasculature

Digital Object Identifier (DOI)

• 10.1109/ISBI.2009.5193291

International Standard Book Number (ISBN) 13

• 978-1-4244-3931-7

start page

• 1259

end page

• 1262

URL

• http://dx.doi.org/10.1109/isbi.2009.5193291