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It is well known that noise on medical image resulting in low image quality has largely limited the diagnostic usefulness. Therefore, noise reduction for medical images is significantly urgent. However, most reported noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for medical image noise reduction. This paper presents a novel approach...
An iterative classification method developed for 2D CT head data classification problem and using both statistical and spatial information is introduced in this paper. The method reduces the chance of misclassification, preserving the contiguity of tissue classes. This method is minimally supervised so that it enforces a relation between tissues and classes. In later iterations high-confidence points...
Liver diseases are among the leading causes of death worldwide. The most useful approach for controlling the growth of diseases to reach at severe condition is to treat these diseases at the early stages. Early treatment requires early diagnosis, which needs an accurate and reliable diagnostic procedure. The aim of this study is to develop a computer-aided diagnostic system to achieve aforementioned...
Atrial fibrillation is caused by some excited cardiac myocardium re-stimulated by the recurrent impulse that made the left atrium contraction irregularly. The changes of cardiac patterns could be recorded by the CT scan of the multi-slices and multi-frame technology. The abnormal rhythmic wall motion can be analyzed between the systolic of atrium and diastolic of atrium. This study has developed a...
Rigid registration of intraoperative ultrasound (US) and CT is an important technique to provide real-time guidance for preoperative images and models. Due to the speckle noise and artefacts in US images, accurate registration of CT and US is still a challenging problem. We propose an adaptive region intensity based CT and US registration method. The registration is initialized by matching the distinctive...
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