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医学图像中肝血管骨架化的技术与算法综述

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

作者信息

Zhang Jianfeng, Wu Fa, Chang Wanru, Kong Dexing

机构信息

School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China.

College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China.

出版信息

Entropy (Basel). 2022 Mar 28;24(4):465. doi: 10.3390/e24040465.

DOI:10.3390/e24040465
PMID:35455128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9031516/
Abstract

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.

摘要

肝血管骨骼化是肝血管分析和血管分割的重要手段。本文综述了医学图像中肝血管骨骼化的技术和算法。我们总结了该领域的最新进展和经典方法。这些方法根据其方法学特点分为五类。在相应章节中分别对每一类进行了概述和简要评估。我们从各个方面对引用的出版物、图像模态和数据集进行了全面总结,希望揭示每种方法的优缺点,总结其成果,并讨论挑战和未来趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/da8094ddb679/entropy-24-00465-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/17d034b6e1db/entropy-24-00465-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/9f49fedaaca5/entropy-24-00465-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/68219af3a390/entropy-24-00465-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/5ab11f81a196/entropy-24-00465-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/a655bb0165cb/entropy-24-00465-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/ded8d7bf2b8c/entropy-24-00465-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/1beb0255f636/entropy-24-00465-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/da8094ddb679/entropy-24-00465-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/17d034b6e1db/entropy-24-00465-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/9f49fedaaca5/entropy-24-00465-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/68219af3a390/entropy-24-00465-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/5ab11f81a196/entropy-24-00465-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/a655bb0165cb/entropy-24-00465-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/ded8d7bf2b8c/entropy-24-00465-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/1beb0255f636/entropy-24-00465-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53f9/9031516/da8094ddb679/entropy-24-00465-g008.jpg

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Int J Comput Assist Radiol Surg. 2021 Jul;16(7):1151-1160. doi: 10.1007/s11548-021-02400-6. Epub 2021 May 27.
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Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review.计算方法在医学成像中的肝脏血管分割:综述。
用于相位对比断层扫描中三维血管分割的深度学习
Res Sq. 2024 Jul 16:rs.3.rs-4613439. doi: 10.21203/rs.3.rs-4613439/v1.
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Fast calculation of 3D radiofrequency ablation zone based on a closed-form solution of heat conduction equation fitted by ex vivo measurements.基于离体测量拟合的热传导方程闭式解的快速计算三维射频消融区域。
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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation.CHAOS 挑战赛——联合(CT-MR)健康腹部器官分割。
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