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A New Dynamic Minimal Path Model for Tubular Structure Centerline Delineation

Chen, Da; Cohen, Laurent D. (2018), A New Dynamic Minimal Path Model for Tubular Structure Centerline Delineation, 2018 24th International Conference on Pattern Recognition (ICPR), IEEE - Institute of Electrical and Electronics Engineers : Piscataway, NJ. 10.1109/ICPR.2018.8545534

Type
Communication / Conférence
Date
2018
Conference title
24th International Conference on Pattern Recognition (ICPR)
Conference date
2018-08
Conference city
beijing
Conference country
China
Book title
2018 24th International Conference on Pattern Recognition (ICPR)
Publisher
IEEE - Institute of Electrical and Electronics Engineers
Published in
Piscataway, NJ
Publication identifier
10.1109/ICPR.2018.8545534
Metadata
Show full item record
Author(s)
Chen, Da
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Cohen, Laurent D.
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
We propose a new dynamic Riemannian metric with adaptive anisotropy enhancement and with appearance feature coherence penalization. The appearance features are characterized by the orientation score maps. Unlike the static geodesic metrics which depend on local pointwise information, the dynamic metric can take into account the nonlocal feature coherence penalty in order to extract a desired structure from complicated background or from a vessel tree. We construct the metric using the information from two external reference points which are identified during the geodesic distance computation. Numerical experiments are performed in retinal vessels, including the independent results from the proposed dynamic metric itself and the comparison against existing minimal path models. The results show that the proposed metric indeed gets better performance than state-of-the-art geodesic metrics.
Subjects / Keywords
Measurement; Coherence; Tensile stress; Anisotropic magnetoresistance; Feature extraction; Numerical models; Kernel

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