Automatic Segmentation of Coronary Lumen and External Elastic Membrane in Intravascular Ultrasound Images Using 8-layer U-Net

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, i.e. EEM 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 0.941 and 0.750 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.

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Automatic Segmentation of Coronary Lumen and External Elastic Membrane in Intravascular Ultrasound Images Using 8-layer U-Net

10.21203/rs.3.rs-42239/v3 ◽

2020 ◽

Author(s):

Liang Dong ◽

Wei Lu ◽

Jun Jiang ◽

Ya Zhao ◽

Xiangfen Song ◽

...

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Tissue Characterization ◽

Data Augmentation ◽

Automatic Segmentation ◽

Model Performance ◽

Single Frequency ◽

Elastic Membrane ◽

Ultrasound Images ◽

External Elastic Membrane

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.

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Automatic Segmentation of Coronary Lumen and External Elastic Membrane in Intravascular Ultrasound Images Using 8-layer U-Net

10.21203/rs.3.rs-42239/v5 ◽

2021 ◽

Author(s):

Liang Dong ◽

Wenbing Jiang ◽

Wei Lu ◽

Jun Jiang ◽

Ya Zhao ◽

...

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Tissue Characterization ◽

Data Augmentation ◽

Automatic Segmentation ◽

Model Performance ◽

Single Frequency ◽

Elastic Membrane ◽

Ultrasound Images ◽

External Elastic Membrane

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.

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Automatic Segmentation of Coronary Lumen and External Elastic Membrane in Intravascular Ultrasound Images Using 8-layer U-Net

10.21203/rs.3.rs-42239/v4 ◽

2021 ◽

Author(s):

Liang Dong ◽

Wei Lu ◽

Jun Jiang ◽

Ya Zhao ◽

Xiangfen Song ◽

...

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Tissue Characterization ◽

Data Augmentation ◽

Automatic Segmentation ◽

Model Performance ◽

Single Frequency ◽

Elastic Membrane ◽

Ultrasound Images ◽

External Elastic Membrane

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.

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

BioMedical Engineering OnLine ◽

10.1186/s12938-021-00852-0 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Liang Dong ◽

Wenbing Jiang ◽

Wei Lu ◽

Jun Jiang ◽

Ya Zhao ◽

...

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Tissue Characterization ◽

Data Augmentation ◽

Model Performance ◽

Single Frequency ◽

Elastic Membrane ◽

Ultrasound Images ◽

Cross Sectional ◽

External Elastic Membrane

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-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. 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.

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Automatic Segmentation of Coronary Lumen and External Elastic Membrane in IVUS Images Using 8-layer U-Net

10.21203/rs.3.rs-42239/v1 ◽

2020 ◽

Author(s):

Liang Dong ◽

Wei Lu ◽

Jun Jiang ◽

Ya Zhao ◽

Xiangfen Song ◽

...

Keyword(s):

Coronary Artery ◽

Tissue Characterization ◽

Data Augmentation ◽

Automatic Segmentation ◽

Model Performance ◽

Single Frequency ◽

Elastic Membrane ◽

Cross Section Area ◽

Golden Standard ◽

External Elastic Membrane

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Intravascular ultrasound

State of the Art Surgical Coronary Revascularization ◽

10.1093/med/9780198758785.003.0016 ◽

2021 ◽

pp. 60-63

Author(s):

Lorenz Räber

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Coronary Intervention ◽

Elastic Membrane ◽

Arterial Grafts ◽

Anatomical Structures ◽

Percutaneous Coronary ◽

External Elastic Membrane ◽

Artery Disease ◽

Global And Local

Intravascular ultrasound represents the most established, well-validated, and widely used intracoronary imaging technology worldwide and was introduced approximately 25 years ago. Intravascular ultrasound enables the visualization of key anatomical structures of the coronary artery and saphenous or arterial grafts including the lumen, external elastic membrane, and adventitia and thereby provides the basis for the assessment of the degree of coronary artery stenosis, extent of atherosclerosis burden (i.e. global and local disease burden), and plaque composition. All this represents key information to plan and perform percutaneous coronary intervention procedures in native coronary artery disease or graft lesions and to estimate the risk for future cardiovascular events.

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Analysis of Cardiovascular Tissue Components for the Diagnosis of Coronary Vulnerable Plaque from Intravascular Ultrasound Images

Journal of Healthcare Engineering ◽

10.1155/2017/9837280 ◽

2017 ◽

Vol 2017 ◽

pp. 1-7

Author(s):

Ju Hwan Lee ◽

Yoo Na Hwang ◽

Ga Young Kim ◽

Eun Seok Shin ◽

Sung Min Kim

Keyword(s):

Intravascular Ultrasound ◽

Vulnerable Plaque ◽

Tissue Characterization ◽

Plaque Rupture ◽

Fibrous Tissue ◽

Elastic Membrane ◽

Ultrasound Images ◽

Tissue Properties ◽

Cardiovascular Tissue ◽

The Media

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.

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Intravascular Ultrasound: Potential Tool to Assess Coronary Anastomosis Quality

Asian Cardiovascular and Thoracic Annals ◽

10.1177/021849230301100212 ◽

2003 ◽

Vol 11 (2) ◽

pp. 143-146

Author(s):

Piergiorgio Tozzi ◽

Antonio F Corno ◽

Ludwig K von Segesser

Keyword(s):

Coronary Artery ◽

Intravascular Ultrasound ◽

Left Internal Mammary Artery ◽

Artery Bypass ◽

Ultrasound Images ◽

Cross Sectional ◽

Flow Measurements ◽

Off Pump ◽

The Mean ◽

Macroscopic Examination

Coronary angiography and Doppler flow measurements are most commonly used to assess the patency of anastomoses in the operating theater. Intravascular ultrasound might be another means of monitoring the surgical procedure during coronary artery bypass. Five sheep underwent off-pump bypass of the left anterior descending coronary artery using the left internal mammary artery. The running suture was evaluated by intraoperative fluoroscopy and a coronary intravascular ultrasound probe inserted into the target artery proximal to the anastomosis. Macroscopic examination of the anastomosis was performed to validate the angiographic and intravascular ultrasound images. The diameter, cross-sectional area, and compliance of each anastomosis were calculated in systole and diastole. All anastomoses were patent without signs of stenosis. In one case, intravascular ultrasound showed an intimal flap, which was confirmed by macroscopic examination. The mean major anastomotic diameter was 4.5 ± 0.5 mm on angiography and 4.0 ± 0.5 mm on intravascular ultrasound. From the ultrasound data, the mean cross-sectional anastomotic area was calculated as 6.21 ± 0.1 mm2 in systole and 5.49 ± 0.1 mm2 in diastole, and these data were used to calculate the cross-sectional anastomosis compliance. Coronary intravascular ultrasound can visualize intima-to-intima apposition and provide reliable calculations of anastomosis compliance.

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Abstract 1165: Impact of Gender on Serial Atherosclerotic Changes in Response to Established Medical Therapies

Circulation ◽

10.1161/circ.116.suppl_16.ii_235-c ◽

2007 ◽

Vol 116 (suppl_16) ◽

Author(s):

Srinivasa R Kalidindi ◽

Amy Hsu ◽

Keon-Woong Moon ◽

E. Murat Tuzcu ◽

Steven E Nissen ◽

...

Keyword(s):

Coronary Artery ◽

Arterial Wall ◽

Elastic Membrane ◽

Single Coronary Artery ◽

Plaque Progression ◽

Ultrasound Evaluation ◽

External Elastic Membrane ◽

Remodeling Index ◽

Medical Therapies ◽

The Impact

Background: While the importance of coronary artery disease in females has become increasingly recognized, little is known regarding the impact of gender with regard to changes in arterial wall dimensions with progression and regression of atherosclerosis. This study investigated the remodeling response of the artery wall accompanying changes in atheroma burden in response to use of medical therapies, stratified according to gender. Methods: 1533 patients (27.5% female) underwent serial intravascular ultrasound evaluation of a single coronary artery in the context of clinical trials that assess the impact of medical therapies on plaque progression. The relationship between gender and remodeling of the arterial wall at baseline and its serial change in association with plaque progression and regression were studied. Results: Females were older (59 v 57 years, p<0.01), had a higher body mass index (31.5 v 29.5 kg/m 2 , p<0.01), were more likely to have hypertension (86 v 71.5%, p<0.01) and metabolic syndrome (57 v 49%, p<0.01) and less likely to have a history of smoking (57.5 v 73.5%, p=0.01) and myocardial infarction (27.5 v 35.5%, p<0.01). After adjusting for body surface area, females demonstrated a trend towards smaller external elastic membrane (EEM) (226.3 v 234.3 mm 3 , p=0.09) and larger lumen (143.7 v 137.7 mm 3 , p=0.01) volumes. The remodeling index at the most diseased site did not differ between genders (0.95 v 0.95, p=0.95). No differences were observed between genders with regard to changes in EEM (−5.6 v −6.2 mm 3 , p=0.29) and lumen (−4.9 v −4.5 mm 3 , p=0.82) volumes and remodeling index (−0.02 v −0.03, p=0.43) in response to use of medical therapies. Similarly, there were no differences between genders with regard to the percentage of patients undergoing expansion (34.7 v 35.5%, p=0.86) or contraction (20.4 v 21.8%, p=0.69) of lumen volume in association with regression of atherosclerotic plaque. Conclusion: A similar pattern of remodeling of the arterial wall was observed between genders in association with serial changes in atheroscle-rotic plaque. This further highlights our understanding of the pathological interactions between atherosclerosis and the arterial wall in females.

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