Author: Bob Dougherty (firstname.lastname@example.org) Orderd by by Karl-Heinz Kunzelmann. Installation: Download LocalThickness_.jar to the Plugins folder and restart ImageJ. Description: ImageJ plugin to compute the local thickness of a 3D image stack. The distance map is formed as an itermediate result. References: "A new method for the model-independent assessment of thickness in three-dimensional images" T. Hildebrand and P. Rüesgsegger, J. of Microscopy, 185 (1996) 67-75.
"New algorithms for Euclidean distance transformation on an n-dimensional digitized picture with applications," T. Saito and J. Toriwaki, Pattern Recognition 27 (1994) 1551-1565.
Documentation: LocalThicknessEd.pdf "Computing Local Thickness of 3D Structures with ImageJ," R.P. Dougherty and K-H Kunzelmann, Microscopy & Microanalysis 2007 Meeting August 5-9, 2007, Ft. Lauderdale, Florida Usage: The work is divided into 4 stages: computation of the distance map by the Euclidean distance tranformation, deletion of some redundant points to create a partially-formed distance ridge, conducting a search to find the local thickness, and cleaning up the local thickness to remove voxel effects from the surface. These steps can be requested all at once by choosing Plugins/LocalThickness/Local Thickness (complete process). Alternatively, they can be done one at time by running Plugins/LocalThickness/Geometry to Distance Map, Plugins/LocalThickness/Distance Map to Distance Ridge, Plugins/LocalThickness/Distance Ridge to Local Thickness, and finally Plugins/LocalThickness/Local Thickness to Cleaned-Up Local Thickness. In the "all at once" mode, be sure to wait until the status line says something like "Local Thickness (complete process): 2.166 seconds" and the title of the output image stack is changed to the title of the input stack followed by "_LocThk" It might be possible to confuse the code by clicking on widows or doing other things in ImageJ while the plugins are running. History: Aug. 2006 Grande Custom ImageJ Plugin ordered
Sept.-Oct. 2006 Various steps and versions released to Prof. Dr. Kunzelmann
July 2007 Multi-threaded version to take advantage of multi-processor computers
Aug. 2007 Presentation at the Microscopy & Microanalysis Conference and public release
May 2008 Paper selected for the 2008 Macres Award for the Best Instrumentation or Software Paper presented at Microscopy & Microanalysis 2007
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