Abstract
Ultrasensitive Doppler is a recent medical imaging technique enabling high sensitive acquisition of blood flows which can detect small vascular features without contrast agents. Applied to cerebral tomographic imaging of rodents, this method produces very fine vascular 3D maps of the brain at high spatial resolution of 100 μm. These vascular networks contain characteristic tubular structures that could be used as landmarks to localize the position of the ultrasonic probe and take advantage of the easy-to-use property of ultrasound devices. In this study, we propose a computational method that performs 3D extraction of vascular paths and estimates effective diameters of vessels, from ultrasensitive Doppler 3D reconstructed images of the rat brain. The method is based on the fast marching algorithm to extract curves minimizing length according to a relevant metric.
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References
Benmansour F, Cohen LD (2009) Fast object segmentation by growing minimal paths from a single point on 2d or 3d images. J Math Imaging Vis 33(2):209–221
Bercoff J, Montaldo G, Loupas T, Savery D, Meziere F, Fink M, Tanter M (2011) Ultrafast compound doppler imaging: providing full blood flow characterization. IEEE Trans Ultrason Ferroelectr Freq Control 58(1):134–147
Cohen LD, Kimmel R (1997) Global minimum for active contour models: a minimal path approach. Int J Comput Vis 24(1):57–78
Cohen E, Deffieux T, Tiran E, Demene C, Cohen L, Tanter M (2016) Ultrasensitive doppler based neuronavigation system for preclinical brain imaging applications. In: 2016 IEEE international ultrasonics symposium (IUS). IEEE, Berlin, pp 1–4
Crandall MG, Lions PL (1983) Viscosity solutions of Hamilton–Jacobi equations. Trans Am Math Soc 277(1):1–42
Demené C, Tiran E, Sieu LA, Bergel A, Gennisson JL, Pernot M, Deffieux T, Cohen I, Tanter M (2016) 4d microvascular imaging based on ultrafast doppler tomography. NeuroImage 127:472–483
Deschamps T, Cohen LD (2001) Fast extraction of minimal paths in 3d images and applications to virtual endoscopy. Med Image Anal 5(4):281–299
Gennisson JL, Deffieux T, Fink M, Tanter M (2013) Ultrasound elastography: principles and techniques. Diag Interv Imaging 94(5):487–495
Law MW, Chung AC (2008) Three dimensional curvilinear structure detection using optimally oriented flux. In: European conference on computer vision. Springer, Berlin, pp 368–382
Peyré G, Péchaud M, Keriven R, Cohen LD (2010) Geodesic methods in computer vision and graphics. Found Trends® Comput Graph Vis 5(3–4):197–397
Sethian JA (1999) Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science, vol 3. Cambridge University Press, Cambridge
Tanter M, Fink M (2014) Ultrafast imaging in biomedical ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 61(1):102–119
Zuiderveld K (1994) Contrast limited adaptive histogram equalization. In: Graphics gems IV. Academic Press Professional Inc., San Diego, CA, pp 474–485. http://dl.acm.org/citation.cfm?id=180895.180940
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Cohen, E., Deffieux, T., Demené, C., Cohen, L.D., Tanter, M. (2018). 3D Vessel Extraction in the Rat Brain from Ultrasensitive Doppler Images. In: Gefen, A., Weihs, D. (eds) Computer Methods in Biomechanics and Biomedical Engineering. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-59764-5_10
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DOI: https://doi.org/10.1007/978-3-319-59764-5_10
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