Cargando…

Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey

Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis and vessel segmentation. This paper presents a survey of techniques and algorithms for hepatic vessel skeletonization in medical images. We summarized the latest developments and classical approaches in this fie...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jianfeng, Wu, Fa, Chang, Wanru, Kong, Dexing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031516/
https://www.ncbi.nlm.nih.gov/pubmed/35455128
http://dx.doi.org/10.3390/e24040465
_version_ 1784692409211289600
author Zhang, Jianfeng
Wu, Fa
Chang, Wanru
Kong, Dexing
author_facet Zhang, Jianfeng
Wu, Fa
Chang, Wanru
Kong, Dexing
author_sort Zhang, Jianfeng
collection PubMed
description Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis and vessel segmentation. This paper presents a survey of techniques and algorithms for hepatic vessel skeletonization in medical images. We summarized the latest developments and classical approaches in this field. These methods are classified into five categories according to their methodological characteristics. The overview and brief assessment of each category are provided in the corresponding chapters, respectively. We provide a comprehensive summary among the cited publications, image modalities and datasets from various aspects, which hope to reveal the pros and cons of every method, summarize its achievements and discuss the challenges and future trends.
format Online
Article
Text
id pubmed-9031516
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-90315162022-04-23 Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey Zhang, Jianfeng Wu, Fa Chang, Wanru Kong, Dexing Entropy (Basel) Review Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis and vessel segmentation. This paper presents a survey of techniques and algorithms for hepatic vessel skeletonization in medical images. We summarized the latest developments and classical approaches in this field. These methods are classified into five categories according to their methodological characteristics. The overview and brief assessment of each category are provided in the corresponding chapters, respectively. We provide a comprehensive summary among the cited publications, image modalities and datasets from various aspects, which hope to reveal the pros and cons of every method, summarize its achievements and discuss the challenges and future trends. MDPI 2022-03-28 /pmc/articles/PMC9031516/ /pubmed/35455128 http://dx.doi.org/10.3390/e24040465 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Zhang, Jianfeng
Wu, Fa
Chang, Wanru
Kong, Dexing
Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title_full Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title_fullStr Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title_full_unstemmed Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title_short Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey
title_sort techniques and algorithms for hepatic vessel skeletonization in medical images: a survey
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031516/
https://www.ncbi.nlm.nih.gov/pubmed/35455128
http://dx.doi.org/10.3390/e24040465
work_keys_str_mv AT zhangjianfeng techniquesandalgorithmsforhepaticvesselskeletonizationinmedicalimagesasurvey
AT wufa techniquesandalgorithmsforhepaticvesselskeletonizationinmedicalimagesasurvey
AT changwanru techniquesandalgorithmsforhepaticvesselskeletonizationinmedicalimagesasurvey
AT kongdexing techniquesandalgorithmsforhepaticvesselskeletonizationinmedicalimagesasurvey