Huang, Xingru;
Bajaj, Retesh;
Li, Yilong;
Ye, Xin;
Lin, Ji;
Pugliese, Francesca;
Ramasamy, Anantharaman;
... Zhang, Qianni; + view all
(2023)
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation.
Medical Image Analysis
, 89
, Article 102922. 10.1016/j.media.2023.102922.
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Abstract
Intravascular ultrasound (IVUS) is recommended in guiding coronary intervention. The segmentation of coronary lumen and external elastic membrane (EEM) borders in IVUS images is a key step, but the manual process is time-consuming and error-prone, and suffers from inter-observer variability. In this paper, we propose a novel perceptual organisation-aware selective transformer framework that can achieve accurate and robust segmentation of the vessel walls in IVUS images. In this framework, temporal context-based feature encoders extract efficient motion features of vessels. Then, a perceptual organisation-aware selective transformer module is proposed to extract accurate boundary information, supervised by a dedicated boundary loss. The obtained EEM and lumen segmentation results will be fused in a temporal constraining and fusion module, to determine the most likely correct boundaries with robustness to morphology. Our proposed methods are extensively evaluated in non-selected IVUS sequences, including normal, bifurcated, and calcified vessels with shadow artifacts. The results show that the proposed methods outperform the state-of-the-art, with a Jaccard measure of 0.92 for lumen and 0.94 for EEM on the IVUS 2011 open challenge dataset. This work has been integrated into a software QCU-CMS2 to automatically segment IVUS images in a user-friendly environment.
| Type: | Article |
|---|---|
| Title: | POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation |
| Location: | Netherlands |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.media.2023.102922 |
| Publisher version: | https://doi.org/10.1016/j.media.2023.102922 |
| Language: | English |
| Additional information: | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Atherosclerosis, Intravascular ultrasound, Plaque burden, Semantic segmentation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10175751 |
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