scholarly journals Hybrid classifier for brain abnormality detection in brain MRI

2021 ◽  
pp. 125-153
Author(s):  
Adhi Lakshmi ◽  
Thangadurai Arivoli ◽  
M. Pallikonda Rajasekaran ◽  
N. Bhuvaneshwary ◽  
S. Sathya
Keyword(s):  
Brain Mri ◽  
Abnormality Detection ◽  
Hybrid Classifier ◽  
Brain Abnormality

scholarly journals The Recognition of Basal Ganglia Area in the Brain MRI Image with Hybrid Classifier

2017 ◽  
Vol 7 (1) ◽  
pp. 11-17
Author(s):  
Min-Chi Wu ◽  
◽  
Chiun-Li Chin ◽  
Wen-Chi Chin ◽  
Jian-Shiun Wu ◽  
...  
Keyword(s):  
Basal Ganglia ◽  
Brain Mri ◽  
Hybrid Classifier ◽  
The Brain ◽  
Mri Image

scholarly journals Jaya Algorithm Guided Procedure to Segment Tumor from Brain MRI

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Suresh Chandra Satapathy ◽  
Venkatesan Rajinikanth
Keyword(s):  
Early Stage ◽  
Brain Mri ◽  
Morbidity Rate ◽  
Human Society ◽  
Jaya Algorithm ◽  
Brain Abnormality ◽  
Accuracy And Precision ◽  
Skull Stripping ◽  
Sensitivity Specificity ◽  
Tumor Extraction

Brain abnormality is a cause for the chief risk factors in human society with larger morbidity rate. Identification of tumor in its early stage is essential to provide necessary treatment procedure to save the patient. In this work, Jaya Algorithm (JA) and Otsu’s Function (OF) guided method is presented to mine the irregular section of brain MRI recorded with Flair and T2 modality. This work implements a two-step process to examine the brain tumor from the axial, sagittal, and coronal views of the two-dimensional (2D) MRI slices. This paper presents a detailed evaluation of thresholding procedure with varied threshold levels (Th=2,3,4,5), skull stripping process before/after the thresholding practice, and the tumor extraction based on the Chan-Vese approach. Superiority of JA is confirmed among other prominent heuristic approaches found in literature. The outcome of implemented study confirms that Jaya Algorithm guided method is capable of presenting superior values of Jaccard-Index, Dice-Coefficient, sensitivity, specificity, accuracy, and precision on the BRATS 2015 dataset.

Comparison of image quality in brain MRI with and without MR compatible incubator and predictive value of brain MRI at expected delivery date in preterm babies

2020 ◽  
Vol 48 (7) ◽  
pp. 733-743 ◽  
Author(s):  
Franziska Müller ◽  
Hans Proquitté ◽  
Karl-Heinz Herrmann ◽  
Thomas Lehmann ◽  
Hans-Joachim Mentzel
Keyword(s):  
Image Quality ◽  
Predictive Value ◽  
Brain Mri ◽  
Diagnostic Information ◽  
Subjective Image Quality ◽  
Brain Abnormality ◽  
Mri Brain ◽  
Additional Diagnostic Information ◽  
Delivery Date ◽  
Noise Ratio

AbstractObjectivesMR compatible incubators (MRcI) offer the examination of preterm and critically ill infants in controlled environment. The aim of the study was to compare objective and subjective image quality as well as diagnostic value of MRI brain examinations with and without using the MRcI. Thus, predictive value of brain MRI at expected delivery date in general was investigated.MethodsThis retrospective study included MRI brain examinations conducted at patients’ corrected age ≤6 months and presence of four standard sequences (PD TSE transversal, T2 TSE transversal, T2 TSE sagittal and T1 SE transversal). Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) was calculated. Subjective image quality was estimated using a 5-point Likert scale. Findings of MRI were compared with those of previous transfontanellar ultrasound because of additional diagnostic information. Severe brain abnormality scaled by score of Kidokoro was related to results of Munich Functional Developmental Diagnostics (MFDD) within first year.ResultsOne hundred MRI brain examinations (76 with MRcI, 24 without MRcI) were performed in 79 patients. Using the MRcI SNR and CNR were significantly higher in PD- and in T2-weighted sequences (p<0.05). TSE PD transversal demonstrated a higher risk of non-diagnostic quality using MRcI (OR 5.23; 95%-CI 1.86–14.72). MRcI revealed additional diagnostic information (OR 5.69; 95%-CI 1.15–28.24). Severe brain abnormality was associated with walking deficits (r=0.570; p=0.021).ConclusionsThe MRcI increased objective image quality and revealed additional diagnostic information to transfontanellar ultrasound. Nevertheless, prediction of infants' future development remains limited.

C-69 Neuropsychological Functioning in a Patient with an Unspecified Pediatric Movement Disorder Without Abnormal Brain MRI

2019 ◽  
Vol 34 (6) ◽  
pp. 1098-1098
Author(s):  
A von Buttlar ◽  
B Butcher
Keyword(s):  
White Matter ◽  
Movement Disorder ◽  
Movement Disorders ◽  
Neuropsychological Functioning ◽  
Brain Mri ◽  
Auditory Hallucinations ◽  
Brain Abnormality ◽  
Visual Spatial ◽  
History Of ◽  
Neurocognitive Profile

Abstract Objective Neuropsychological profiles of patients with pediatric movement disorders are not fully understood, though research suggests greater impairments in cognitive processes reliant on white matter functional integrity. Interpretation of neuropsychological data in these patients is often informed by imaging data that suggests specific areas of brain abnormality. The purpose of this presentation is to discuss the neurocognitive profile of a patient with an unspecified, progressive movement disorder with onset in middle childhood with no observable brain abnormality. Method The patient is an 11-year-old, right-handed male with a history of spastic diplegia and ataxia, onset at seven years of age, in the context of a normal brain MRI and genetic anomaly of unclear clinical significance. Patient has since experienced progressive weakness and spasticity of his bilateral lower limbs, and increasing inflammation in the upper thoracic region. He also has a history of auditory hallucinations. Results His neuropsychological profile was indicative of white matter and right hemispheric dysfunction in the brain with well-preserved left hemisphere functions. He demonstrated stronger verbal reasoning and verbally-based executive functioning abilities compared to visual-spatial reasoning and visual perception. Deficits in sustained attention, vigilance, working memory, and processing speed were also noted. Psychomotor coordination and planning was impaired bilaterally, with more pronounced left-hand deficits. He also demonstrated significant speech dysarthria and dyspraxia. He denied experiencing auditory hallucinations in the past six months. Conclusions This patient’s neurocognitive profile is largely consistent with literature on neuropsychological functioning in pediatric movement disorders despite the absence of an identifiable region of brain abnormality.

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