TY - GEN
T1 - Quantitative analysis of flow behavior of carotid plaque neovasculature
AU - Hoogi, Assaf
AU - Bosch, Johan G.
AU - Akkus, Zeynettin
AU - Ten Kate, Gerrit L.
AU - Van Den Oord, Stijn C.H.
AU - Schinkel, Arend F.L.
AU - De Jong, Nico
AU - Adam, Dan
AU - Van Der Steen, Antonius F.W.
PY - 2011
Y1 - 2011
N2 - Intra-plaque neovascularization is considered to be an important indication for plaque vulnerability. We propose a semi-automatic algorithm that may supply quantitative analysis of neovasculature and reconstruction of its tree, thus enabling assessment of plaque vulnerability. An algorithm for automatic contrast spot detection and for tracking these spots using Multidimensional Dynamic Programming was developed to map the intra-plaque neovascularization. Classification of contrast tracks into blood vessels and artifacts was performed, based on their motion pattern characteristics. Seventy-three different contrast spots in 25 plaques were visually identified. The automatic contrast spot detection method found 70of these objects. In 65 objects the automatic tracking determined the contrast motion correctly. In addition, the objects were correctly classified in 89% of the cases. These results show that the method can successfully quantify features that are linked to vulnerability of the carotid plaque.
AB - Intra-plaque neovascularization is considered to be an important indication for plaque vulnerability. We propose a semi-automatic algorithm that may supply quantitative analysis of neovasculature and reconstruction of its tree, thus enabling assessment of plaque vulnerability. An algorithm for automatic contrast spot detection and for tracking these spots using Multidimensional Dynamic Programming was developed to map the intra-plaque neovascularization. Classification of contrast tracks into blood vessels and artifacts was performed, based on their motion pattern characteristics. Seventy-three different contrast spots in 25 plaques were visually identified. The automatic contrast spot detection method found 70of these objects. In 65 objects the automatic tracking determined the contrast motion correctly. In addition, the objects were correctly classified in 89% of the cases. These results show that the method can successfully quantify features that are linked to vulnerability of the carotid plaque.
KW - Carotid plaque
KW - Neovascularization
KW - Quantitative analysis
UR - https://www.scopus.com/pages/publications/84869002706
U2 - 10.1109/ULTSYM.2011.0525
DO - 10.1109/ULTSYM.2011.0525
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AN - SCOPUS:84869002706
SN - 9781457712531
T3 - IEEE International Ultrasonics Symposium, IUS
SP - 2118
EP - 2121
BT - 2011 IEEE International Ultrasonics Symposium, IUS 2011
T2 - 2011 IEEE International Ultrasonics Symposium, IUS 2011
Y2 - 18 October 2011 through 21 October 2011
ER -