Computed tomography carotid wall plaque characterization using a combination of discrete wavelet transform and texture features: A pilot study

In 30% of stroke victims, the cause of stroke has been found to be the stenosis caused by plaques in the carotid artery. Early detection of plaque and subsequent classification of the same into symptomatic and asymptomatic can help the clinicians to choose only those patients who are at a higher risk of stroke for risky surgeries and stenosis treatments. Therefore, in this work, we have proposed a non-invasive computer-aided diagnostic technique to classify the detected plaque into the two classes. Computed tomography (CT) images of the carotid artery images were used to extract Local Binary Pattern (LBP) features and wavelet energy features. Significant features were then used to train and test several supervised learning algorithm based classifiers. The Support Vector Machine (SVM) classifier with various kernel configurations was evaluated using LBP and wavelet features. The SVM classifier presented the highest accuracy of 88%, sensitivity of 90.2%, and specificity of 86.5% for radial basis function (RBF) kernel function. The CT images of the carotid artery provide unique 3D images of the artery and plaque that could be used for calculating percentage of stenosis. Our proposed technique enables automatic classification of plaque into asymptomatic and symptomatic with high accuracy, and hence, it can be used for deciding the course of treatment. We have also proposed a single-valued integrated index (Atheromatic Index) using the significant features which can provide a more objective and faster prediction of the class

Cough sounds

Cough is an important protective reflex that is essential to protect the airways yet can also signify disease as a symptom of airway disease. It is the most common symptom that results in new medical consultations at least in regions where data is available. Both children and adults can cough for a myriad of reasons. This ranges from cough associated with simple viral infections to cough secondary to serious airway or lung disorders. Consequently evaluating causes of cough can be quite challenging. The mechanism of cough involves the central and peripheral neural systems, muscular and airway mechanisms. The sound of cough is influenced by various physiological factors such as age and sex and by pathological factors such as muscle weakness, airway obstruction and excessive mucus production. This chapter briefly reviews factors influencing cough sounds and recorders. As cough is a cardinal symptom of airway diseases and many respiratory illnesses, a description of typical cough quality in various respiratory conditions is provided. We also briefly discuss the availability and developments in software, apps and cough measurement devices that unfold a new exciting field of study and research in our era of advancing technology