scholarly journals Histograms of Oriented 3D Gradients for Fully Automated Fetal Brain Localization and Robust Motion Correction in 3 T Magnetic Resonance Images

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Ahmed Serag ◽  
Gillian Macnaught ◽  
Fiona C. Denison ◽  
Rebecca M. Reynolds ◽  
Scott I. Semple ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Motion Correction ◽  
Fetal Brain ◽  
Brain Magnetic Resonance Imaging ◽  
Magnetic Resonance Images ◽  
Superior Performance ◽  
Feature Descriptor ◽  
Reconstruction Process ◽  
Brain Localization ◽  
Fetal Motion

Fetal brain magnetic resonance imaging (MRI) is a rapidly emerging diagnostic imaging tool. However, automated fetal brain localization is one of the biggest obstacles in expediting and fully automating large-scale fetal MRI processing. We propose a method for automatic localization of fetal brain in 3 T MRI when the images are acquired as a stack of 2D slices that are misaligned due to fetal motion. First, the Histogram of Oriented Gradients (HOG) feature descriptor is extended from 2D to 3D images. Then, a sliding window is used to assign a score to all possible windows in an image, depending on the likelihood of it containing a brain, and the window with the highest score is selected. In our evaluation experiments using a leave-one-out cross-validation strategy, we achieved 96% of complete brain localization using a database of 104 MRI scans at gestational ages between 34 and 38 weeks. We carried out comparisons against template matching and random forest based regression methods and the proposed method showed superior performance. We also showed the application of the proposed method in the optimization of fetal motion correction and how it is essential for the reconstruction process. The method is robust and does not rely on any prior knowledge of fetal brain development.

Fetal brain magnetic resonance imaging and long-term neurodevelopmental impairment

2014 ◽  
Vol 125 (3) ◽  
pp. 237-240 ◽  
Author(s):  
Vladimir Banović ◽  
Snježana Škrablin ◽  
Maja Banović ◽  
Marko Radoš ◽  
Snježana Gverić-Ahmetašević ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Fetal Brain ◽  
Brain Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Neurodevelopmental Impairment

Prenatal diagnosis of periventricular hemorrhage by fetal brain magnetic resonance imaging

1998 ◽  
Vol 14 (12) ◽  
pp. 689-692 ◽  
Author(s):  
Raffaello Canapicchi ◽  
Giovanni Cioni ◽  
Francesca A. L. Strigini ◽  
Arturo Abbruzzese ◽  
Laura Bartalena ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prenatal Diagnosis ◽  
Magnetic Resonance ◽  
Fetal Brain ◽  
Brain Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Periventricular Hemorrhage

scholarly journals Heart-brain connections: phenotypic and genetic insights from 40,000 cardiac and brain magnetic resonance images

2021 ◽  
Author(s):  
Bingxin Zhao ◽  
Tengfei Li ◽  
Zirui Fan ◽  
Yue Yang ◽  
Xifeng Wang ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Psychological Health ◽  
Complex Traits ◽  
Brain Mri ◽  
Genetic Correlations ◽  
Brain Magnetic Resonance Imaging ◽  
Magnetic Resonance Images ◽  
Brain Diseases ◽  
Functional Connections ◽  
The Brain

Cardiovascular health interacts with cognitive and psychological health in complex ways. Yet, little is known about the phenotypic and genetic links of heart-brain systems. Using cardiac and brain magnetic resonance imaging (CMR and brain MRI) data from over 40,000 UK Biobank subjects, we developed detailed analyses of the structural and functional connections between the heart and the brain. CMR measures of the cardiovascular system were strongly correlated with brain basic morphometry, structural connectivity, and functional connectivity after controlling for body size and body mass index. The effects of cardiovascular risk factors on the brain were partially mediated by cardiac structures and functions. Using 82 CMR traits, genome-wide association study identified 80 CMR-associated genomic loci (P < 6.09 * 10^{-10}), which were colocalized with a wide spectrum of heart and brain diseases. Genetic correlations were observed between CMR traits and brain-related complex traits and disorders, including schizophrenia, bipolar disorder, anorexia nervosa, stroke, cognitive function, and neuroticism. Our results reveal a strong heart-brain connection and the shared genetic influences at play, advancing a multi-organ perspective on human health and clinical outcomes.

scholarly journals Transient Splenial Lesion of the Corpus Callosum Related to Migraine with Aura in a Pediatric Patient

2016 ◽  
Vol 59 (2) ◽  
pp. 64-66
Author(s):  
Olcay Ünver ◽  
Büşra Kutlubay ◽  
Tolga Besci ◽  
Gazanfer Ekinci ◽  
Feyyaz Baltacıoğlu ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Corpus Callosum ◽  
Pediatric Patient ◽  
Migraine With Aura ◽  
Brain Magnetic Resonance Imaging ◽  
Good Prognosis ◽  
Magnetic Resonance Images ◽  
Splenial Lesion ◽  
Clinical Conditions

Background: Transient splenial lesions of the corpus callosum are rare radiological findings first described in association with epilepsy, antiepileptic drugs and viral encephalitis. However, subsequently more cases were described associated with diverse clinical conditions. Case report: We describe a 13-year-old girl suffering from migraine with aura presenting with headache, right-sided hemiparesis and encephalopathy. Brain magnetic resonance imaging revealed an ovoid lesion in the splenium of the corpus callosum. The patient’s neurological symptoms resolved within 3 days without therapy and the lesion disappeared in follow up magnetic resonance images obtained 3 weeks after the onset of the symptoms. Results: Migraine with aura was considered to be the cause of the lesion. To our knowledge the present case is the first report of a pediatric patient with a diagnosis of migraine with aura presenting with hemiparesis and encephalopathy. Conclusions: A diagnosis of transient lesion of the corpus callosum should be suspected in patients with migraine with aura presenting with hemiparesis and encephalopathy. A mild course and a good prognosis might be expected in the presence of a splenial lesion of the corpus callosum.

scholarly journals Automated volumetry of hippocampus is useful to confirm unilateral mesial temporal sclerosis in patients with radiologically positive findings

2017 ◽  
Vol 30 (4) ◽  
pp. 318-323 ◽  
Author(s):  
Guilherme Silva ◽  
Cristina Martins ◽  
Nádia Moreira da Silva ◽  
Duarte Vieira ◽  
Dias Costa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Statistical Tests ◽  
Brain Magnetic Resonance Imaging ◽  
Magnetic Resonance Images ◽  
Mesial Temporal Sclerosis ◽  
Software Library ◽  
Resonance Imaging ◽  
Operating Characteristics ◽  
Automated Method

Background and purpose We evaluated two methods to identify mesial temporal sclerosis (MTS): visual inspection by experienced epilepsy neuroradiologists based on structural magnetic resonance imaging sequences and automated hippocampal volumetry provided by a processing pipeline based on the FMRIB Software Library. Methods This retrospective study included patients from the epilepsy monitoring unit database of our institution. All patients underwent brain magnetic resonance imaging in 1.5T and 3T scanners with protocols that included thin coronal T2, T1 and fluid-attenuated inversion recovery and isometric T1 acquisitions. Two neuroradiologists with experience in epilepsy and blinded to clinical data evaluated magnetic resonance images for the diagnosis of MTS. The diagnosis of MTS based on an automated method included the calculation of a volumetric asymmetry index between the two hippocampi of each patient and a threshold value to define the presence of MTS obtained through statistical tests (receiver operating characteristics curve). Hippocampi were segmented for volumetric quantification using the FIRST tool and fslstats from the FMRIB Software Library. Results The final cohort included 19 patients with unilateral MTS (14 left side): 14 women and a mean age of 43.4 ± 10.4 years. Neuroradiologists had a sensitivity of 100% and specificity of 73.3% to detect MTS (gold standard, k = 0.755). Automated hippocampal volumetry had a sensitivity of 84.2% and specificity of 86.7% (k = 0.704). Combined, these methods had a sensitivity of 84.2% and a specificity of 100% (k = 0.825). Conclusions Automated volumetry of the hippocampus could play an important role in temporal lobe epilepsy evaluation, namely on confirmation of unilateral MTS diagnosis in patients with radiological suggestive findings.

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