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In interventional radiology, short video sequences of vein structure in motion are captured in order to help medical personnel identify vascular issues or plan intervention.
Multiscale vessel enhancement filtering
A.F. Frangi, W.J. Niessen, K.L. Vincken, and M.A. Viergever · 1998
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Fast temporal tracking and 3d reconstruction of a single coronary vessel
I. Nwogu and L. Lorigo · 2007
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Vessel enhancement filter using directional filter bank
P.T. Truc, M.A. Khan, Y.K. Lee ans S. Lee, and T.S. Kim · 2009
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An iterative refinement dsa image registration algorithm using structural image quality measure
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H.R. Fazlali B. Felfelian, N. Karimi, SMR Soroushmehr, S. Samavi, B. Nallamothu, and K. Najarian · 2016
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K. Kamnitsas, E. Ferrante, S. Parisot, C. Ledig, A. Nori, A. Criminisi, D. Rueckert, and B. Glocker · 2016
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Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
M. Rajchl, M. C.H. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, M. Demodaram, M. A. Rutherford, J. V. Hajnal, B. Kainz, and D. Rueckert · 2016
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Automatic online layer separation for vessel enhancement in x-ray angiograms for percutaneous coronary interventions
H.Ma, A. Hoongendoorn, E. Regar, W.J. Niessen, and T. van Walsum · 2017
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Vessel region detection in coronary x-ray angiograms
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Labelme - open annotation tool
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Digital Image Processing
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