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

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 adap...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Qiuling, Zhu, Wei, Zhang, Xiaolin, Chang, Jincai, Cui, Jianzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099540/
https://www.ncbi.nlm.nih.gov/pubmed/32240438
http://dx.doi.org/10.1186/s42492-019-0039-0
_version_ 1783511324888662016
author Pan, Qiuling
Zhu, Wei
Zhang, Xiaolin
Chang, Jincai
Cui, Jianzhong
author_facet Pan, Qiuling
Zhu, Wei
Zhang, Xiaolin
Chang, Jincai
Cui, Jianzhong
author_sort Pan, Qiuling
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7099540
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer Singapore
record_format MEDLINE/PubMed
spelling pubmed-70995402020-03-31 Research on a bifurcation location algorithm of a drainage tube based on 3D medical images Pan, Qiuling Zhu, Wei Zhang, Xiaolin Chang, Jincai Cui, Jianzhong Vis Comput Ind Biomed Art Original Article 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. Springer Singapore 2020-01-14 /pmc/articles/PMC7099540/ /pubmed/32240438 http://dx.doi.org/10.1186/s42492-019-0039-0 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Pan, Qiuling
Zhu, Wei
Zhang, Xiaolin
Chang, Jincai
Cui, Jianzhong
Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
title 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_short 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099540/
https://www.ncbi.nlm.nih.gov/pubmed/32240438
http://dx.doi.org/10.1186/s42492-019-0039-0
work_keys_str_mv AT panqiuling researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages
AT zhuwei researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages
AT zhangxiaolin researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages
AT changjincai researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages
AT cuijianzhong researchonabifurcationlocationalgorithmofadrainagetubebasedon3dmedicalimages

Ejemplares similares