BACKGROUND AND PURPOSE Quantification of MR can provide objective, accurate criteria for evaluation of a given MR sequence. We quantitatively compared conventional MR sequences with fast fluid-attenuated inversion recovery (fast-FLAIR) and echo-planar diffusion-weighted (DW) MR imaging in the examination of intracranial epidermoid tumors. METHODS Eight patients with surgically confirmed intra...

Image segmentation is an indispensable process in the visualization of human tissues, particularly during clinical analysis of magnetic resonance (MR) images. In this paper, the rough-fuzzy c-means (RFCM) algorithm is presented for segmentation of brain MR images. The RFCM algorithm comprises a judicious integration of the of rough sets, fuzzy sets, and c-means algorithm. While the concept of l...

Abstract Background Q.Clear is a Bayesian penalized likelihood (BPL) reconstruction algorithm that presents improvements in signal-to-noise ratio (SNR) clinical positron emission tomography (PET) scans. Brain studies research require provides good spatial resolution and accentuates contrast features however, filtered back-projection (FBP) not available on GE SIGNA PET-Magnetic Resonance (PET-MR...

Aim: to present a new method for assessing glucose catabolism in brain tissues of healthy volunteers and neurooncology patients. This is MR spectroscopy with resonance frequency deuterium (hydrogen isotope) called metabolic imaging - DMI. Material methods. We searched scientific papers PubMed Google Scholar indexing systems 2017–2022 publicatioin years. Keywords used: spectroscopy, DMI, DMV, PE...

To evaluate the clinical feasibility of a newly developed mobile PET system with MR-compatibility (flexible PET; fxPET), compared conventional (cPET)/CT for brain imaging. Twenty-one patients underwent cPET/CT subsequent fxPET/MRI using 18F-FDG. As qualitative evaluation, we visually rated image quality MR and images four-point scoring system. We evaluated overall MR, while quality, sharpness l...

BACKGROUND AND PURPOSE In multiple sclerosis (MS), the severity of tissue damage can vary from edema and inflammation to irreversible demyelination and axonal loss. Compared with conventional T2-weighted MR imaging, magnetization transfer (MT) and diffusion tensor (DT) MR imaging provide quantitative indices with increased specificity to the most destructive aspects of MS. To increase our under...

Standard MR imaging and CT are routinely used for anatomic diagnosis in brain tumors. Pretherapy planning and posttreatment response assessments rely heavily on gadolinium-enhanced MR imaging. Advanced MR imaging techniques and PET imaging offer physiologic, metabolic, or functional information about tumor biology that goes beyond the diagnostic yield of standard anatomic imaging. With the adve...

In the frame of medical imaging, accurate segmentation of brain MR images is of interest for many brain disorders. However, due to several factors such noise, imaging artifacts, intrinsic tissue variation and partial volume effects, tissue segmentation remains a challenging task. So, in this paper, a full automatic framework for segmentation of brain MR images is presented. The framework consis...

Brain tumour is an abnormal growth of brain cells within the brain. Detection of brain tumour is a challenging problem, due to complex structure of the brain. The automatic segmentation has great potential in clinical medicine by freeing physicians from the burden of manual labelling; whereas only a quantitative measurement allows to track and modelling precisely the disease. Magnetic resonance...