BACKGROUND Artifacts caused by dental restorations, such as dental crowns, dental fillings and orthodontic appliances, are a common problem in MRI and CT scans of the head and neck. The aim of this in-vitro study was to identify and evaluate the artifacts produced by different dental restoration materials in CT and MRI images. METHODS Test samples of 44 materials (Metal and Non-Metal) commonl...

The fusion of medical images is very useful for clinical application. Generally, the PET image indicates the function of tissue and the MRI image shows the anatomy of tissue. In this article we fused MRI and PET images and the purpose is adding structural information from MRI to PET image. The images decomposed with Curvelet Transform, and then two images fused with applying fusion rules. We us...

Brain tumor is one of the foremost causes for the increase in mortality among children and adults. Computer visions are being used by doctors to analysis and diagnose the medical problems. Magnetic Resonance Imaging (MRI) is a medical imaging technique, which is used to visualize internal structures of MRI brain images for analyzing normal and abnormal prototypes of brain while diagnosing. It i...

Introduction: FDG Brain PET is a valuable paraclinical tool for presurgical assessments of patients suffering from refractory epilepsy. By the widespread accessibility of PET, recognizing the functional lesions has become a current practical method especially in preoperative evaluations of the partial epilepsy disorders. The aim of our study was to assess the impact of quantit...

background the most common space occupying lesions of the fetal thorax are congenital diaphragmatic hernia (cdh), congenital cystic adenomatoid malformation (ccam), and bronchopulmonary sequestration (bps). although applications of prenatal mri have been vastly improved in the recent years, its use in the assessment of space occupying lesions of the fetal chest differs among centers. objectives...

The precise information of a tumor plays an important role in the treatment of malignant tumors. The manual segmentation of brain tumors from Magnetic Resonance images (MRI) is time consuming task. Processing of MRI images is one of the parts of this field. The detection and extraction of tumor is done from patient’s MRI scan images of the brain. The basic concepts of the image processing are s...

Obtaining validation data and comparison metrics for segmentation of magnetic resonance images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even more evident for images presenting pathology, which can both alter tissue appearance through infiltration and cause geometric distortions. Systems for generating synthetic images with user-defined degradation by n...

Introduction: Glioma is the most common type of brain malignancy among adults. Treatment for this type of tumor involves surgery, radiotherapy, and in higher grades, including chemotherapy. The precise grading of the tumor is critical for treatment planning and prognosis determining. Considering the possibility of problems such as errors in tissue sampling during surgery, as we...

A brain tumor is a mass of unnecessary cells growing in the brain. Brain tissue classification from magnetic resonance images (MRI) is of great importance for research and clinical studies of the normal and diseased human brain. In just a few decades, the use of magnetic resonance imaging (MRI) scanners has grown enormously. An MRI scan is the best way to see inside the human body without cutti...

An automated method to register three-dimensional Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) brain images is presented. In a first step, mathematically well founded differential operators in scale space are applied to 2D or 3D CT and MRI images resulting in feature images depicting ’ridgeness’. In a second step, a fully automatic hierarchical correlation scheme is applied to ...