Automatic segmentation of coronary lumen and external elastic membrane in intravascular ultrasound images using 8-layer U-Net

Autor: Liang Dong, Hang Zhao, Jiang Wenbing, Wei Lu, Jun Jiang, Jian-an Wang, Xiangfen Song, Xiaochang Leng, Ya Zhao, Changling Li, Jianping Xiang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
lcsh:Medical technology
Computer science
Biomedical Engineering
Coronary
Lumen (anatomy)
Artery walls
02 engineering and technology
030218 nuclear medicine & medical imaging
Biomaterials
03 medical and health sciences
Automation
0302 clinical medicine
Segmentation
Intravascular ultrasound
0202 electrical engineering
electronic engineering
information engineering
medicine
Image Processing
Computer-Assisted
Humans
Radiology
Nuclear Medicine and imaging
Ultrasonography
IVUS
EEM
Membranes
Radiological and Ultrasound Technology
medicine.diagnostic_test
Research
MeshGrid
External Elastic Membrane
General Medicine
Middle Aged
medicine.disease
U-Net
Coronary Vessels
Elasticity
Stenosis
medicine.anatomical_structure
lcsh:R855-855.5
Lumen
Automatic segmentation
020201 artificial intelligence & image processing
Female
Artery
Biomedical engineering
Zdroj: BioMedical Engineering
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-9 (2021)
ISSN: 1475-925X
Popis: BackgroundIntravascular ultrasound (IVUS) is the golden standard in accessing the coronary lesions, stenosis, and atherosclerosis plaques. In this paper, a fully automatic approach by an 8-layer U-Net is developed to segment the coronary artery lumen and the area bounded by external elastic membrane (EEM), i.e., cross-sectional area (EEM-CSA). The database comprises single-vendor and single-frequency IVUS data. Particularly, the proposed data augmentation of MeshGrid combined with flip and rotation operations is implemented, improving the model performance without pre- or post-processing of the raw IVUS images.ResultsThe mean intersection of union (MIoU) of 0.937 and 0.804 for the lumen and EEM-CSA, respectively, were achieved, which exceeded the manual labeling accuracy of the clinician.ConclusionThe accuracy shown by the proposed method is sufficient for subsequent reconstruction of 3D-IVUS images, which is essential for doctors’ diagnosis in the tissue characterization of coronary artery walls and plaque compositions, qualitatively and quantitatively.
Databáze: OpenAIRE
Externí odkaz: