Τίτλος:
ARC-OCT: Automatic detection of lumen border in intravascular OCT images
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Background and Objective: Intravascular optical coherence tomography
(OCT) is an invaluable tool for the detection of pathological features
on the arterial wall and the investigation of post-stenting
complications. Computational lumen border detection in OCT images is
highly advantageous, since it may support rapid morphometric analysis.
However, automatic detection is very challenging, since OCT images
typically include various artifacts that impact image clarity, including
features such as side branches and intraluminal blood presence. This
paper presents ARC-OCT, a segmentation method for fully-automatic
detection of lumen border in OCT images.
Methods: ARC-OCT relies on multiple, consecutive processing steps,
accounting for image preparation, contour extraction and refinement. In
particular, for contour extraction ARC-OCT employs the transformation of
OCT images based on physical characteristics such as reflectivity and
absorption of the tissue and, for contour refinement, local regression
using weighted linear least squares and a 2nd degree polynomial model is
employed to achieve artifact and small-branch correction as well as
smoothness of the artery mesh. Our major focus was to achieve accurate
contour delineation in the various types of OCT images, i.e., even in
challenging cases with branches and artifacts.
Results: ARC-OCT has been assessed in a dataset of 1812 images (308 from
stented and 1504 from native segments) obtained from 20 patients.
ARC-OCT was compared against ground-truth manual segmentation performed
by experts on the basis of various geometric features (e.g. area,
perimeter, radius, diameter, centroid, etc.) and closed contour matching
indicators (the Dice index, the Hausdorff distance and the undirected
average distance), using standard statistical analysis methods. The
proposed method was proven very efficient and close to the ground-truth,
exhibiting non statistically-significant differences for most of the
examined metrics.
Conclusions: ARC-OCT allows accurate and fully-automated lumen border
detection in OCT images. (C) 2017 Elsevier B.V. All rights reserved.
Συγγραφείς:
Cheimariotis, Grigorios-Aris
Chatzizisis, Yiannis S.
Koutkias,
Vassilis G.
Toutouzas, Konstantinos
Giannopoulos, Andreas and
Riga, Maria
Chouvarda, Ioanna
Antoniadis, Antonios P. and
Doulaverakis, Charalambos
Tsamboulatidis, Ioannis
Kompatsiaris,
Ioannis
Giannoglou, George D.
Maglaveras, Nicos
Περιοδικό:
Computer Methods and Programs in Biomedicine
Εκδότης:
Elsevier Ireland Ltd
Λέξεις-κλειδιά:
Intravascular optical coherence tomography (OCT); Lumen-Endothelium
border; Automatic segmentation; Contour extraction
DOI:
10.1016/j.cmpb.2017.08.007
