Fully Automatic Detection of the Carotid Artery from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features

Kawai, Fumi; Hayata, Keiji; Ohmiya, Jun; Kondo, Satoshi; Ishikawa, Kiyoko; Yamamoto, Mitsuharu

doi:10.1007/978-3-319-02267-3_6

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2015

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“…We Copyright c 2015 The Institute of Electronics, Information and Communication Engineers propose a fully automatic method for detecting the position of the carotid artery [14]. Although our proposed method focuses on position detection, it is possible to realize the construction of the three-dimensional carotid artery structure by combining carotid contour extraction prior arts [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection of the Carotid Artery Location from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features

Kawai

Kondo

Hayata

et al. 2015

IEICE Trans. Inf. & Syst.

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SUMMARYWe propose a fully automatic method for detecting the carotid artery from volumetric ultrasound images as a preprocessing stage for building three-dimensional images of the structure of the carotid artery. The proposed detector utilizes support vector machine classifiers to discriminate between carotid artery images and non-carotid artery images using two kinds of LBP-based features. The detector switches between these features depending on the anatomical position along the carotid artery. We evaluate our proposed method using actual clinical cases. Accuracies of detection are 100%, 87.5% and 68.8% for the common carotid artery, internal carotid artery, and external carotid artery sections, respectively.

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Section: Introductionmentioning

confidence: 99%