Human treelike tubular structure segmentation: A comprehensive review and future perspectives
File(s)
Published version
Author(s)
Li, Hao
Tang, Zeyu
Nan, Yang
Yang, Guang
Type
Journal Article
Abstract
Various structures in human physiology follow a treelike morphology, which often expresses complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal blood vessels, and hepatic blood vessels. Large collections of 2D and 3D images have been made available by medical imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), Optical coherence tomography (OCT) and ultrasound in which the spatial arrangement can be observed. Segmentation of these structures in medical imaging is of great importance since the analysis of the structure provides insights into disease diagnosis, treatment planning, and prognosis. Manually labelling extensive data by radiologists is often time-consuming and error-prone. As a result, automated or semi-automated computational models have become a popular research field of medical imaging in the past two decades, and many have been developed to date. In this survey, we aim to provide a comprehensive review of currently publicly available datasets, segmentation algorithms, and evaluation metrics. In addition, current challenges and future research directions are discussed.
Date Issued
2022-12-01
Date Acceptance
2022-10-16
Citation
Computers in Biology and Medicine, 2022, 151 (Part A)
ISSN
0010-4825
Publisher
Elsevier
Journal / Book Title
Computers in Biology and Medicine
Volume
151
Issue
Part A
Copyright Statement
© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Publication Status
Published
Article Number
ARTN 106241
Date Publish Online
2022-10-27