Vessel Detecting using Restrict Single Shot Multibox Detector for Intravascular Ultrasounds

Zujie Liu, Zuheng Liu, Yunfeng Peng, Yanni Guo

2019

Abstract

Intravascular ultrasounds (IVUS) is a technique in scanning coronary artery, which is extensively used in interventional therapy and it can provide valuable clues in detecting coronary plaques. Nevertheless, up to now, most of the frames of IVUS are manually examined by physicians. In this paper we designed a restrict single shot multibox detector(R-SSD) method to automatically locate the regions of interests(e.g. vessel) for computer-aided IVUS examination, by changing the initial feature extraction network and restricting the range of prior box of original SSD method dedicated for object recognition. The accuracy on locating vessel can achieve 95.4% using R-SSD.

Paper Citation

in Harvard Style

Liu Z., Liu Z., Peng Y. and Guo Y. (2019). Vessel Detecting using Restrict Single Shot Multibox Detector for Intravascular Ultrasounds.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 18-23. DOI: 10.5220/0008096500180023

in Bibtex Style

@conference{ctisc19,
author={Zujie Liu and Zuheng Liu and Yunfeng Peng and Yanni Guo},
title={Vessel Detecting using Restrict Single Shot Multibox Detector for Intravascular Ultrasounds},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={18-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008096500180023},
isbn={978-989-758-357-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - Vessel Detecting using Restrict Single Shot Multibox Detector for Intravascular Ultrasounds
SN - 978-989-758-357-5
AU - Liu Z.
AU - Liu Z.
AU - Peng Y.
AU - Guo Y.
PY - 2019
SP - 18
EP - 23
DO - 10.5220/0008096500180023