Automated Quantification of Non-Calcified Coronary Plaques in Cardiac CT Angiographic Imagery
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 7
Abstract
The high mortality rate associated with coronary heart disease (CHD) has driven intensive research in cardiac image analysis. The advent of computed tomography angiogra-phy (CTA) has turned non-invasive diagnosis of cardiovascular anomalies into reality as calcified coronary plaques can be easily identified due to high intensity values. However, detection and quantification of the non-calcified plaques in CTA is still a challenging problem because of their lower intensity values, which are often similar to the nearby blood and muscle tissues. In this work, we propose Bayesian posterior based model for precise quantification of the non-calcified plaques in CTA imagery. The only indicator of non-calcified plaques in CTA is relatively lower intensity. Hence, we exploited intensity variations to discriminate voxels into lumen and plaque classes. Based on the normal coronary segments, we computed the vessel-wall thickness in first step. In the subsequent step, we removed vessel wall from the seg-mented tree and employed Gaussian Mixture Model to compute optimal distribution parameters. In the final step, distribution parameters were employed in Bayesian posterior model to classify voxels into lumen or plaque. A total of 18 CTA volumes were analyzed in this work using two different approaches. According to the experimental results, mean Jaccard overlap is around 88% with respect to the manual expert. In terms of sensitivity, specificity and accuracy, the proposed method achieves 84.13% ,79.15% and 82.02% success, respectively. Conclusion: According to the experimental results, it is shown that the proposed plaque quantification method achieves accuracy equivalent to human experts.
Authors and Affiliations
M Moazzam Jawaid, Sanam Narejo, Nasrullah Pirzada, Junaid Baloch, C. C. Reyes- Aldasoro, Greg Slabaugh
Keywords
Related Articles
- EP ID EP358452
- DOI 10.14569/IJACSA.2018.090731
- Views 95
- Downloads 0
Design of Efficient Pipelined Router Architecture for 3D Network on Chip
As a relevant communication structure for integrated circuits, Network-on-Chip (NoC) architecture has attracted a range of research topics. Compared to conventional bus technology, NoC provides higher scalability and enh...
A New Approach for Improvement Security against DoS Attacks in Vehicular Ad-hoc Network
Vehicular Ad-Hoc Networks (VANET) are a proper subset of mobile wireless networks, where nodes are revulsive, the vehicles are armed with special electronic devices on the motherboard OBU (On Board Unit) which enables th...
Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction,...
Review of Cross-Platforms for Mobile Learning Application Development
Mobile learning management systems are very important for training purpose. But considering the present scenario, the learners are equipped with a number of mobile devices that run by different operating systems with div...
On the Probability of Detection Ability in Observing Dynamic Environmental Phenomena using Wireless Sensor Networks
Wireless Sensor Network (WSN) is being utilised for several purposes in military and civil domains, including surveillance, monitoring, and management, where networked sensors monitor and detect an event of interest and...