Research on a bifurcation location algorithm of a drainage tube based on 3D medical images

Abstract Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modi...

Full description

Bibliographic Details
Main Authors:	Qiuling Pan, Wei Zhu, Xiaolin Zhang, Jincai Chang, Jianzhong Cui
Format:	Article
Language:	English
Published:	SpringerOpen 2020-01-01
Series:	Visual Computing for Industry, Biomedicine, and Art
Subjects:	Multitube drainage tube Bifurcation localization algorithm 3D medical image Path planning Intracranial hematoma
Online Access:	https://doi.org/10.1186/s42492-019-0039-0

id	doaj-c9d71ad7dfec42bf8b03a5207b67892a
record_format	Article
spelling	doaj-c9d71ad7dfec42bf8b03a5207b67892a2021-01-17T12:11:00ZengSpringerOpenVisual Computing for Industry, Biomedicine, and Art2524-44422020-01-013111110.1186/s42492-019-0039-0Research on a bifurcation location algorithm of a drainage tube based on 3D medical imagesQiuling Pan0Wei Zhu1Xiaolin Zhang2Jincai Chang3Jianzhong Cui4College of Sciences, North China University of Science and TechnologyCollege of Sciences, North China University of Science and TechnologyCollege of Sciences, North China University of Science and TechnologyCollege of Sciences, North China University of Science and TechnologyDepartment of Neurosurgery, Tangshan Gongren HospitalAbstract Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modified adaptive weighted particle swarm optimization is proposed and used for optimal external axis extraction. According to the characteristics of the multitube drainage tube and the clinical needs of puncture for intracranial hematoma removal, the proposed algorithm can provide an optimal route for a drainage tube for the hematoma, the precise position of the puncture point, and preoperative planning information, which have considerable instructional significance for clinicians.https://doi.org/10.1186/s42492-019-0039-0Multitube drainage tubeBifurcation localization algorithm3D medical imagePath planningIntracranial hematoma
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Qiuling Pan Wei Zhu Xiaolin Zhang Jincai Chang Jianzhong Cui
spellingShingle	Qiuling Pan Wei Zhu Xiaolin Zhang Jincai Chang Jianzhong Cui Research on a bifurcation location algorithm of a drainage tube based on 3D medical images Visual Computing for Industry, Biomedicine, and Art Multitube drainage tube Bifurcation localization algorithm 3D medical image Path planning Intracranial hematoma
author_facet	Qiuling Pan Wei Zhu Xiaolin Zhang Jincai Chang Jianzhong Cui
author_sort	Qiuling Pan
title	Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title_short	Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title_full	Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title_fullStr	Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title_full_unstemmed	Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title_sort	research on a bifurcation location algorithm of a drainage tube based on 3d medical images
publisher	SpringerOpen
series	Visual Computing for Industry, Biomedicine, and Art
issn	2524-4442
publishDate	2020-01-01
description	Abstract Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modified adaptive weighted particle swarm optimization is proposed and used for optimal external axis extraction. According to the characteristics of the multitube drainage tube and the clinical needs of puncture for intracranial hematoma removal, the proposed algorithm can provide an optimal route for a drainage tube for the hematoma, the precise position of the puncture point, and preoperative planning information, which have considerable instructional significance for clinicians.
topic	Multitube drainage tube Bifurcation localization algorithm 3D medical image Path planning Intracranial hematoma
url	https://doi.org/10.1186/s42492-019-0039-0
work_keys_str_mv	AT qiulingpan researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages AT weizhu researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages AT xiaolinzhang researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages AT jincaichang researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages AT jianzhongcui researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages
_version_	1724335296887128064

Research on a bifurcation location algorithm of a drainage tube based on 3D medical images

Similar Items