In brain magnetic resonance (MR) images, image segmentation and 3D visualization are very useful tools for the diagnosis of abnormalities. Segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is the basic process for 3D visualization of brain MR images. Of the many algorithms, the fuzzy c-means (FCM) technique has been widely used for segmentation of brain MR image...

BACKGROUND To determine the prevalence of abnormal findings on brain magnetic resonance (MR) examinations in adult participants of brain docking in order to assess its usefulness. METHODS We analyzed screening brain MR examinations for 1113 adults (age, 52.6+/-8.5 years; range, 22-84; 761 male and 352 female) performed during 6-year period from April 1998 to March 2004. All participants volun...

This paper strives to generate a synthetic computed tomography (CT) image from magnetic resonance (MR) image. The CT is valuable for radiotherapy planning when only an MR available. Recent approaches have made large strides in solving this challenging synthesis problem with convolutional neural networks that learn mapping inputs outputs. In paper, we find all existing share common limitation: r...

BACKGROUND AND PURPOSE Spontaneous intracranial hypotension (SIH) presents with orthostatic headache, and the diagnosis is made on the basis of low CSF pressure and brain MR imaging findings characteristic of the disorder. However, a broad spectrum of symptoms and MR imaging findings of SIH is recognized, and some cases have no typical MR imaging abnormalities. SIH is believed to be caused by C...

The reconstruction of PET brain data in a PET/MR hybrid scanner is challenging in the absence of transmission sources, where MR images are used for MR-based attenuation correction (MR-AC). The main challenge of MR-AC is to separate bone and air, as neither have a signal in traditional MR images, and to assign the correct linear attenuation coefficient to bone. The ultra-short echo time (UTE) MR...

Introduction: This study was aimed to investigate the beneficial effects of functional magnetic resonance imaging (fMRI) data in treatment planning for patients with CNS tumors in order to decrease the injury of functional regions of the brain followed by increase in life quality and survival of patients. This study pursues a novel approach in planning for the treatment of brai...