TY - GEN
T1 - A 3D fractal-based approach towards understanding changes in the infarcted heart microvasculature
AU - Gkontra, Polyxeni
AU - Żak, Magdalena M.
AU - Norton, Kerri Ann
AU - Santos, Andrés
AU - Popel, Aleksander S.
AU - Arroyo, Alicia G.
N1 - Funding Information:
This research is funded by the European Commission (FP7-PEOPLE-2013-ITN ‘CardioNext’, No. 608027) and La Marató de TV3 Foundation. CNIC is supported by the MINECO and the Pro-CNIC Foundation. Kerri-Ann Norton is funded by the American Cancer Society Postdoctoral Fellowship. The authors would like to thank Jaume Agüero for performing the infarction in the pigs.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - The structure and function of the myocardial microvasculature affect cardiac performance. Quantitative assessment of microvascular changes is therefore crucial to understanding heart disease. This paper proposes the use of 3D fractal-based measures to obtain quantitative insight into the changes of the microvasculature in infarcted and non-infarcted (remote) areas, at different time-points, following myocardial infarction. We used thick slices (∼ 100μm) of pig heart tissue, stained for blood vessels and imaged with high resolution microscope. Firstly, the cardiac microvasculature was segmented using a novel 3D multi-scale multi-thresholding approach. We subsequently calculated: i) fractal dimension to assess the complexity of the microvasculature; ii) lacunarity to assess its spatial organization; and iii) succolarity to provide an estimation of the microcirculation flow. The measures were used for statistical change analysis and classification of the distinct vascular patterns in infarcted and remote areas, demonstrating the potential of the approach to extract quantitative knowledge about infarction-related alterations.
AB - The structure and function of the myocardial microvasculature affect cardiac performance. Quantitative assessment of microvascular changes is therefore crucial to understanding heart disease. This paper proposes the use of 3D fractal-based measures to obtain quantitative insight into the changes of the microvasculature in infarcted and non-infarcted (remote) areas, at different time-points, following myocardial infarction. We used thick slices (∼ 100μm) of pig heart tissue, stained for blood vessels and imaged with high resolution microscope. Firstly, the cardiac microvasculature was segmented using a novel 3D multi-scale multi-thresholding approach. We subsequently calculated: i) fractal dimension to assess the complexity of the microvasculature; ii) lacunarity to assess its spatial organization; and iii) succolarity to provide an estimation of the microcirculation flow. The measures were used for statistical change analysis and classification of the distinct vascular patterns in infarcted and remote areas, demonstrating the potential of the approach to extract quantitative knowledge about infarction-related alterations.
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U2 - 10.1007/978-3-319-24574-4_21
DO - 10.1007/978-3-319-24574-4_21
M3 - Conference contribution
AN - SCOPUS:84951855963
SN - 9783319245737
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 173
EP - 180
BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings
A2 - Frangi, Alejandro F.
A2 - Navab, Nassir
A2 - Hornegger, Joachim
A2 - Wells, William M.
PB - Springer Verlag
T2 - 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
Y2 - 5 October 2015 through 9 October 2015
ER -