Related Experiment Video
Updated: Nov 12, 2025
Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
Published on: June 3, 2018
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed
Vy Bui1,2, Sujata M Shanbhag1, Oscar Levine1,3
1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Insights
A new automatic method for cardiac computed tomography angiography (CTA) segmentation significantly improves accuracy and speed. This approach aids in diagnosing cardiovascular diseases by efficiently analyzing heart structures from CTA images.
Area of Science:
- Cardiovascular Imaging
- Medical Image Analysis
- Radiology
Background:
- Contrast-enhanced cardiac computed tomography angiography (CTA) is crucial for diagnosing cardiovascular diseases.
- Manual segmentation of cardiac structures in CTA is time-consuming and labor-intensive.
- Accurate segmentation is vital for comprehensive assessment of heart and great vessel structures.
Purpose of the Study:
- To develop a fully automatic method for segmenting the heart and associated cardiovascular structures in CTA images.
- To improve the efficiency and accuracy of cardiac structure analysis in CTA.
- To provide a reliable tool for clinical application in cardiovascular disease diagnosis.
Main Methods:
- A novel approach combining multi-atlas and corrective segmentation techniques was employed.
- The method automatically labels cardiac structures and separates surrounding intrathoracic tissues.
- Quantitative and qualitative assessments were performed using expert manual segmentation as a reference standard.
Main Results:
- The automatic segmentation achieved a high Dice score of 0.93 and low Hausdorff distance (7.94 mm) and mean surface distance (1.03 mm).
- Expert readers provided excellent scores for the automatic segmentation quality.
- The average processing time was significantly reduced to 2.79 minutes.
Conclusions:
- The proposed automatic framework enhances accuracy and computational speed compared to traditional multi-atlas methods.
- This method offers comprehensive and reliable multi-structural segmentation of CTA images.
- The automated approach is valuable for clinical applications in cardiovascular imaging.
Abstract:
Contrast enhanced cardiac computed tomography angiography (CTA) is a prominent imaging modality for diagnosing cardiovascular diseases non-invasively. It assists the evaluation of the coronary artery patency and provides a comprehensive assessment of structural features of the heart and great vessels. However, physicians are often required to evaluate different cardiac structures and measure their size manually. Such task is very time-consuming and tedious due to the large number of image slices in 3D data. We present a fully automatic method based on a combined multi-atlas and corrective segmentation approach to label the heart and its associated cardiovascular structures. This method also automatically separates other surrounding intrathoracic structures from CTA images. Quantitative assessment of the proposed method is performed on 36 studies with a reference standard obtained from expert manual segmentation of various cardiac structures. Qualitative evaluation is also performed by expert readers to score 120 studies of the automatic segmentation. The quantitative results showed an overall Dice of 0.93, Hausdorff distance of 7.94 mm, and mean surface distance of 1.03 mm between automatically and manually segmented cardiac structures. The visual assessment also attained an excellent score for the automatic segmentation. The average processing time was 2.79 minutes. Our results indicate the proposed automatic framework significantly improves accuracy and computational speed in conventional multi-atlas based approach, and it provides comprehensive and reliable multi-structural segmentation of CTA images that is valuable for clinical application.
More Related Videos
06:02Anatomical Reconstructions of the Human Cardiac Venous System using Contrast-computed Tomography of Perfusion-fixed Specimens
Published on: April 18, 2013
12:15Tissue Preparation Techniques for Contrast-Enhanced Micro Computed Tomography Imaging of Large Mammalian Cardiac Models with Chronic Disease
Published on: February 8, 2022
Related Concept Videos
01:28Imaging Studies for Cardiovascular System V: CT
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
01:21Imaging Studies for Cardiovascular System IV: CMRI