POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation
Medical Image Analysis, vol. 89, pp. 102922
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 oganisation-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 oganisation-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.
Authors 14
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Queen Mary University of London · Hangzhou Dianzi University
Affiliation as printed
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK; School of Communication Engineering, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, Zhejiang, China
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK
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Queen Mary University of London · Barts Health NHS Trust · William Harvey Research Institute
Affiliation as printed
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK
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Queen Mary University of London
Affiliation as printed
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK
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Zhejiang Provincial People's Hospital
Affiliation as printed
Zhejiang Provincial People's Hospital, 270 West Xueyuan Road, Wenzhou, Zhejiang, China
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Queen Mary University of London
Affiliation as printed
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK
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Queen Mary University of London · Barts Health NHS Trust · William Harvey Research Institute
Affiliation as printed
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK
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Queen Mary University of London · Barts Health NHS Trust · William Harvey Research Institute
Affiliation as printed
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK
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Zhejiang Institute of Mechanical and Electrical Engineering
Affiliation as printed
Zhejiang Institute of Mechanical and Electrical Engineering, Hangzhou, China
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Communication University of Zhejiang
Affiliation as printed
College of Media Engineering, Communication University of Zhejiang, Hangzhou, China
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Affiliation as printed
Department of Mechanical Engineering, University College London, London, UK
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Jouke Dijkstra Aachen
Leiden University Medical Center
Affiliation as printed
Leiden University Medical Center, Leiden, Netherlands
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Affiliation as printed
School of Informatics, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom
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Queen Mary University of London · Barts Health NHS Trust · William Harvey Research Institute
Affiliation as printed
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, UK
Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK
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Qianni Zhang corresponding
Queen Mary University of London
Affiliation as printed
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK. Electronic address: qianni.zhang@qmul.ac.uk
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E3 4BL, UK
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