Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images

Author(s):  
Xiangmin Zhang ◽  
Steven C. DeJong ◽  
Charles R. McKay ◽  
Milan Sonka
2000 ◽  
Vol 26 (4) ◽  
pp. 527-537 ◽  
Author(s):  
Gil Kovalski ◽  
Rafael Beyar ◽  
Rona Shofti ◽  
Haim Azhari

1993 ◽  
pp. 489-496 ◽  
Author(s):  
W. Li ◽  
J. G. Bosch ◽  
Y. Zhong ◽  
H. v. Urk ◽  
E. J. Gussenhoven ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Ju Hwan Lee ◽  
Yoo Na Hwang ◽  
Ga Young Kim ◽  
Eun Seok Shin ◽  
Sung Min Kim

The purpose of this study was to characterize cardiovascular tissue components and analyze the different tissue properties for predicting coronary vulnerable plaque from intravascular ultrasound (IVUS) images. For this purpose, sequential IVUS image frames were obtained from human coronary arteries using 20 MHz catheters. The plaque regions between the intima and media-adventitial borders were manually segmented in all IVUS images. Tissue components of the plaque regions were classified into having fibrous tissue (FT), fibrofatty tissue (FFT), necrotic core (NC), or dense calcium (DC). The media area and lumen diameter were also estimated simultaneously. In addition, the external elastic membrane (EEM) was computed to predict the vulnerable plaque after the tissue characterization. The reliability of manual segmentation was validated in terms of inter- and intraobserver agreements. The quantitative results found that the FT and the media as well as the NC would be good indicators for predicting vulnerable plaques in IVUS images. In addition, the lumen was not suitable for early diagnosis of vulnerable plaque because of the low significance compared to the other vessel parameters. To predict vulnerable plaque rupture, future study should have additional experiments using various tissue components, such as the EEM, FT, NC, and media.


1997 ◽  
Vol 23 (3) ◽  
pp. 437-445 ◽  
Author(s):  
Abigail J. Thrush ◽  
David E. Bonnett ◽  
Michael R. Elliott ◽  
Subhi S. Kutob ◽  
David H. Evans

2020 ◽  
Author(s):  
Liang Dong ◽  
Wei Lu ◽  
Jun Jiang ◽  
Ya Zhao ◽  
Xiangfen Song ◽  
...  

Abstract Background: Intravascular 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 section area (EEM-CSA). The database comprises of 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.Results: The 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.Conclusion: The 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.


Sign in / Sign up

Export Citation Format

Share Document