# Jerman Enhancement Filter
Jerman's 3D and 2D Hessian based tubular (vessel/vesselness) and spherical (blob/blobness) enhancement filters.
The MATLAB code is the implementation of the next two journal publications:
1. [T. Jerman, F. Pernus, B. Likar, Z. Spiclin, "*Enhancement of Vascular Structures in 3D and 2D Angiographic Images*", IEEE Transactions on Medical Imaging, 35(9), p. 2107-2118 (2016), doi={10.1109/TMI.2016.2550102}](https://doi.org/10.1109/TMI.2016.2550102)
2. [T. Jerman, F. Pernus, B. Likar, Z. Spiclin, "*Blob Enhancement and Visualization for Improved Intracranial Aneurysm Detection*", IEEE Transactions on Visualization and Computer Graphics, 22(6), p. 1705-1717 (2016), doi={10.1109/TVCG.2015.2446493}](https://doi.org/10.1109/TVCG.2015.2446493)
and a conference paper (please refer to journal publication [1] for more details):
3. [T. Jerman, F. Pernus, B. Likar, Z. Spiclin, "*Beyond Frangi: an improved multiscale vesselness filter*", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94132A (2015), doi={10.1117/12.2081147}](https://doi.org/10.1117/12.2081147)
The code is based on Dirk-Jan Kroon's implementation of Frangi's vesselness filter. (https://www.mathworks.com/matlabcentral/fileexchange/24409-hessian-based-frangi-vesselness-filter)
### Tips:
* Make sure that the objects of interest have the highest (if bright compared to the background) or lowest (if dark compared to background) intensities in the image/volume. Scale/normalize the images appropriately.
* The 3D method contains a c-code file that needs to be compiled with "mex eig3volume.c". (For more info visit: https://www.mathworks.com/matlabcentral/fileexchange/24409-hessian-based-frangi-vesselness-filter)
* Threshold the filter response to remove any remaining enhanced noise
### Content:
2D enhancement of vessel/tube-like structures:
* vesselness2D.m - main function
* example_vesselness2D.m - filter applied on a 2D retinal vasculature
* fundus2D.png - image for the example
3D enhancement of vessel/tube-like structures:
* vesselness3D.m - main function
* eig3volume.c - fast computation of eigenvalues
* example_vesselness3D.m - filter applied on a 3D cerebral vasculature
* volume.mat - volume for the example
3D enhancement of blob/sphere-like structures:
* blobness3D.m - main function
* eig3volume.c - (as above)
* example_blobness3D.m - aneurysm enhancement in a 3D cerebral vasculature
* volume.mat - (as above)
2D enhancement of blob/disk-like structures (**experimental - not published**):
* blobness2D.m - main function
* example_blobness2D.m - enhancement of an aneurysm on a vessel (*synthetically generated image*)
* blob2D.png - image for the example
Jerman增强滤波器 可行.zip_Hessian 滤波器_Jerman_hessian增强_血管增强_血管滤波器
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