Background When MRI images of patients with memory problems are assessed, the presence lacunar infarcts is evaluated. Lacunar infarcts, fluid-filled cavities 3-15 mm in diameter, one possible result cerebral small vessel disease and therefore relevant dementia diagnostics. In this study, we propose an automated tool for detecting on images. Method We adapted our previous approach [1] three ways...

OBJECTIVE Direct in vivo MRI of dental hard tissues by applying ultrashort echo time (UTE) MRI techniques has recently been reported. The objective of the presented study is to clinically evaluate the applicability of UTE MRI for the identification of caries lesions. METHODS 40 randomly selected patients (mean age 41 ± 15 years) were enrolled in this study. 39 patients underwent a conventiona...

PURPOSE We aimed to use a noninvasive method for quantifying T1 values of chronic myocardial infarction scar by cardiac magnetic resonance imaging (MRI), and determine its diagnostic performance. MATERIALS AND METHODS We performed cardiac MRI on 29 consecutive patients with known coronary artery disease (CAD) on 3.0 Tesla MRI scanner. An unenhanced T1 mapping technique was used to calculate T...

Due to the vast number of medical technologies and equipments the medical images are growing at a rapid rate. This directs to retrieve efficient medical images based on visual contents. This paper proposed the content based medical image retrieval system by means of Gabor wavelet to extract texture features of MRI scan images. Then the k-means clustering, progressive retrieval strategy and Eucl...

One of the challenges in functional brain imaging is integration of complementary imaging modalities, such as magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). MEG, which uses highly sensitive superconducting quantum interference devices (SQUIDs) to directly measure magnetic fields of neuronal currents, cannot be combined with conventional high-field MRI in a single...

In the analysis of brain Magnetic Resonance Images (MRI), tissue classification is an important issue. Many works have been done to classify the brain tissues from the brain MRI. This paper presents a new technique to classify the brain MRI images and to perform tissue classification by using Dual Mode Classifier (DMC). Initially, the brain MRI images are obtained from the brain databases and f...