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Images which are obtained in clinical radiology are generally evaluated visually. Some information which is available in the images, but not possible to be seen visually can be useful for diagnosis of some diseases. Cyst hydatid which is a parasitic liver disease is still an important health problem in countries where animal breeding is widespread. In this study, we aimed at producing some objective...
Various studies have been conducted to expand the utilization of combined positron emission tomography and computed tomography (PET/CT) covering cases of infection and inflammation. PET images provide the functional activity of a lesion while CT images demonstrate the anatomical location. Hence, existence of infected lesions can be recognized in PET image but since the structural position can not...
Immunoglobulin light chain amyloidosis (AL) is characterized by the deposition of light chain components as insoluble fibrils in tissues and organs leading to dysfunction and death and is the most common form of peripheral amyloid disease in humans. Presently, there are no means available in the USA to image specifically these deposits and thus ascertain the presence or extent of disease. To this...
CT and MR images have been used in the liver disease treatment. In order to merge the different information into one image, image registration and data fusion must be adopted. In this paper, image registration and data fusion for MR and CT images of liver was studied. Firstly, the maximization of mutual information method was proposed to register the images. Then, some optimization algorithms, such...
Lung modelling has emerged as a useful method for diagnosing lung diseases. Image segmentation is an important part of lung modelling systems. The ill-defined nature of image segmentation makes automated lung modelling difficult. Also, low resolution of lung images further increases the difficulty of the lung image segmentation. It is therefore important to identify a suitable segmentation algorithm...
During recent years a number of medical diagnosis support systems have been presented. Such systems are important from medical point of view, because they aid physicians in their daily work. Some of those systems, like Computed tomography support systems (CT) rely on image data analysis, making it an interesting research topic from pattern recognition point of view. The paper presents a practical...
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...
While CT coronary angiography (CTCA) has been validated, the potential of CT to evaluate perfusion has not been explored. We sought to: (1) develop and test a technique for quantitative assessment of myocardial perfusion from CT images, (2) identify the underlying causes of perfusion abnormalities detected by CT, (3) determine the added diagnostic value of CT perfusion. We studied 84 consecutive patients...
Evaluation of aorta morphology and function in presence of aneurysms or dissection is crucial for a correct treatment choice between surgical resection and percutaneous stent-graft deployment. We developed and tested a new method for automated dynamic aorta segmentation from computed tomography (CT) images from which static and dynamic parameters of aortic morphology and function can be automatically...
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