A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process

2021 ◽  
Author(s):  
Sasikanth Shanmugam ◽  
Srinivasa Rao Surampudi
Keyword(s):  
Brain Mri ◽  
Vector Index

USEFULNESS OF BRAIN MRI IN DIAGNOSIS OF NBIA IN PKAN AND NON-PKAN PATIENTS

2006 ◽  
Vol 37 (S 1) ◽  
Author(s):  
T Kmiec ◽  
E Jurkiewicz ◽  
S Jozwiak ◽  
I Pakula-Kosciesza ◽  
M Ebhart ◽  
...  
Keyword(s):  
Brain Mri

Brain MRI-findings in Ph - negative myeloproliferative disorders

2019 ◽  
Vol 91 (7) ◽  
pp. 29-34 ◽  
Author(s):  
M M Tanashyan ◽  
A L Melikyan ◽  
P I Kuznetsova ◽  
A A Raskurazhev ◽  
A A Shabalina ◽  
...  
Keyword(s):  
Cerebrovascular Disease ◽  
Sinus Thrombosis ◽  
Cerebral Arteries ◽  
Brain Mri ◽  
Myeloproliferative Disorders ◽  
Cerebral Venous Sinus Thrombosis ◽  
Mri Findings ◽  
Cerebral Lesions ◽  
Cerebrovascular Pathology ◽  
Underlying Mechanisms

Myeloproliferative disorders (MPD) are accompanied by a high proportion of thrombotic complications, which may lead to cerebrovascular disease (CVD). Aim. To describe MRI-findings in patients with Ph - negative MPD and evaluate any cerebrovascular disease. Materials and methods. We included 104 patients with Ph - negative MPD (age varied between 20 and 58) with clinical correlates of cerebrovascular pathology. Results. Brain MRI showed post - stroke lesions in 20% of patients (7 hemispheric infarcts due to thrombotic occlusion of one of the large cerebral arteries, 14 - cortical infarcts). 37 patients (36%) had vascular cerebral lesions. Cerebral venous sinus thrombosis occurred in 5 patients - in 7% (n=3) of patients with polycythemia vera and 5% (n=2) - in patients with essential thrombocythemia. The incidence of vascular cerebral lesions was associated with higher levels of the following: erythrocyte, platelet count, fibrinogen, and with the decrease in fibrinolytic activity, as well. Conclusion. The pioneering results of the study include the description and analysis of brain MRI-findings in patients with Ph - negative MPD. The underlying mechanisms of cerebrovascular pathology in these patients are associated with certain blood alterations (particularly, hemorheology) which present a major risk factor.

Normal cerebral ventricular volume growth in childhood

2020 ◽  
Vol 26 (5) ◽  
pp. 517-524
Author(s):  
Noah S. Cutler ◽  
Sudharsan Srinivasan ◽  
Bryan L. Aaron ◽  
Sharath Kumar Anand ◽  
Michael S. Kang ◽  
...  
Keyword(s):  
Brain Mri ◽  
Volume Growth ◽  
Ventricular Volume ◽  
Growth Patterns ◽  
Diagnostic Process ◽  
Growth Charts ◽  
Normal Brain ◽  
Mr Images ◽  
Ventricular Volumes ◽  
Brain Mr Images

OBJECTIVENormal percentile growth charts for head circumference, length, and weight are well-established tools for clinicians to detect abnormal growth patterns. Currently, no standard exists for evaluating normal size or growth of cerebral ventricular volume. The current standard practice relies on clinical experience for a subjective assessment of cerebral ventricular size to determine whether a patient is outside the normal volume range. An improved definition of normal ventricular volumes would facilitate a more data-driven diagnostic process. The authors sought to develop a growth curve of cerebral ventricular volumes using a large number of normal pediatric brain MR images.METHODSThe authors performed a retrospective analysis of patients aged 0 to 18 years, who were evaluated at their institution between 2009 and 2016 with brain MRI performed for headaches, convulsions, or head injury. Patients were excluded for diagnoses of hydrocephalus, congenital brain malformations, intracranial hemorrhage, meningitis, or intracranial mass lesions established at any time during a 3- to 10-year follow-up. The volume of the cerebral ventricles for each T2-weighted MRI sequence was calculated with a custom semiautomated segmentation program written in MATLAB. Normal percentile curves were calculated using the lambda-mu-sigma smoothing method.RESULTSVentricular volume was calculated for 687 normal brain MR images obtained in 617 different patients. A chart with standardized growth curves was developed from this set of normal ventricular volumes representing the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles. The charted data were binned by age at scan date by 3-month intervals for ages 0–1 year, 6-month intervals for ages 1–3 years, and 12-month intervals for ages 3–18 years. Additional percentile values were calculated for boys only and girls only.CONCLUSIONSThe authors developed centile estimation growth charts of normal 3D ventricular volumes measured on brain MRI for pediatric patients. These charts may serve as a quantitative clinical reference to help discern normal variance from pathologic ventriculomegaly.

Long-term seizure outcomes after pediatric temporal lobectomy: does brain MRI lesion matter?

2019 ◽  
Vol 24 (2) ◽  
pp. 200-208
Author(s):  
Ravindra Arya ◽  
Francesco T. Mangano ◽  
Paul S. Horn ◽  
Sabrina K. Kaul ◽  
Serena K. Kaul ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Hippocampal Sclerosis ◽  
Brain Mri ◽  
Temporal Lobectomy ◽  
Seizure Freedom ◽  
Seizure Onset

OBJECTIVEThere is emerging data that adults with temporal lobe epilepsy (TLE) without a discrete lesion on brain MRI have surgical outcomes comparable to those with hippocampal sclerosis (HS). However, pediatric TLE is different from its adult counterpart. In this study, the authors investigated if the presence of a potentially epileptogenic lesion on presurgical brain MRI influences the long-term seizure outcomes after pediatric temporal lobectomy.METHODSChildren who underwent temporal lobectomy between 2007 and 2015 and had at least 1 year of seizure outcomes data were identified. These were classified into lesional and MRI-negative groups based on whether an epilepsy-protocol brain MRI showed a lesion sufficiently specific to guide surgical decisions. These patients were also categorized into pure TLE and temporal plus epilepsies based on the neurophysiological localization of the seizure-onset zone. Seizure outcomes at each follow-up visit were incorporated into a repeated-measures generalized linear mixed model (GLMM) with MRI status as a grouping variable. Clinical variables were incorporated into GLMM as covariates.RESULTSOne hundred nine patients (44 females) were included, aged 5 to 21 years, and were classified as lesional (73%), MRI negative (27%), pure TLE (56%), and temporal plus (44%). After a mean follow-up of 3.2 years (range 1.2–8.8 years), 66% of the patients were seizure free for ≥ 1 year at last follow-up. GLMM analysis revealed that lesional patients were more likely to be seizure free over the long term compared to MRI-negative patients for the overall cohort (OR 2.58, p < 0.0001) and for temporal plus epilepsies (OR 1.85, p = 0.0052). The effect of MRI lesion was not significant for pure TLE (OR 2.64, p = 0.0635). Concordance of ictal electroencephalography (OR 3.46, p < 0.0001), magnetoencephalography (OR 4.26, p < 0.0001), and later age of seizure onset (OR 1.05, p = 0.0091) were associated with a higher likelihood of seizure freedom. The most common histological findings included cortical dysplasia types 1B and 2A, HS (40% with dual pathology), and tuberous sclerosis.CONCLUSIONSA lesion on presurgical brain MRI is an important determinant of long-term seizure freedom after pediatric temporal lobectomy. Pediatric TLE is heterogeneous regarding etiologies and organization of seizure-onset zones with many patients qualifying for temporal plus nosology. The presence of an MRI lesion determined seizure outcomes in patients with temporal plus epilepsies. However, pure TLE had comparable surgical seizure outcomes for lesional and MRI-negative groups.

Dog - Brain (MRI)

vet-Anatomy ◽  
2016 ◽  
Author(s):  
Antoine Micheau ◽  
Denis Hoa
Keyword(s):  
Brain Mri ◽  
Dog Brain

Serum Markers of Methylation Status in Relation to Brain MRI Measures and Risk of Dementia

2018 ◽  
Author(s):  
Babak Hooshmand ◽  
Helga Refsum ◽  
A. David Smith ◽  
Grégoria Kalpouzos ◽  
Francesca Mangialasche ◽  
...  
Keyword(s):  
Brain Mri ◽  
Methylation Status ◽  
Serum Markers
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