A cooperative framework for segmentation of MRI brain scans

Brain tumor detection at early stages can increase the chances of the patient’s recovery after treatment. In the last decade, we have noticed a substantial development in the medical imaging technologies, and they are now becoming an integral part in the diagnosis and treatment processes. In this study, we generalize the concept of entropy difference defined in terms of Marsaglia formula (usually used to describe two different figures, statues, etc.) by using the quantum calculus. Then we employ the result to extend the local binary patterns (LBP) to get the quantum entropy LBP (QELBP). The proposed study consists of two approaches of features extractions of MRI brain scans, namely, the QELBP and the deep learning DL features. The classification of MRI brain scan is improved by exploiting the excellent performance of the QELBP–DL feature extraction of the brain in MRI brain scans. The combining all of the extracted features increase the classification accuracy of long short-term memory network when using it as the brain tumor classifier. The maximum accuracy achieved for classifying a dataset comprising 154 MRI brain scan is 98.80%. The experimental results demonstrate that combining the extracted features improves the performance of MRI brain tumor classification.

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Meningioma and peritumoral edema segmentation of preoperative MRI brain scans

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization ◽

10.1080/21681163.2016.1250108 ◽

2016 ◽

Vol 6 (4) ◽

pp. 362-370 ◽

Cited By ~ 2

Author(s):

Elisabetta Binaghi ◽

Valentina Pedoia ◽

Sergio Balbi

Keyword(s):

Peritumoral Edema ◽

Brain Scans ◽

Mri Brain

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Cross-Sectional and Longitudinal MRI Brain Scans Reveal Accelerated Brain Aging in Multiple Sclerosis

Frontiers in Neurology ◽

10.3389/fneur.2019.00450 ◽

2019 ◽

Vol 10 ◽

Cited By ~ 15

Author(s):

Einar A. Høgestøl ◽

Tobias Kaufmann ◽

Gro O. Nygaard ◽

Mona K. Beyer ◽

Piotr Sowa ◽

...

Keyword(s):

Multiple Sclerosis ◽

Brain Aging ◽

Cross Sectional ◽

Brain Scans ◽

Mri Brain ◽

Longitudinal Mri

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Do cerebral white matter lesions influence the rate of progression from mild cognitive impairment to dementia?

International Psychogeriatrics ◽

10.1017/s1041610212000932 ◽

2012 ◽

Vol 25 (1) ◽

pp. 120-127 ◽

Cited By ~ 12

Author(s):

Michael E. Devine ◽

J. Andres Saez Fonseca ◽

Zuzana Walker

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

White Matter ◽

White Matter Lesions ◽

Cerebral White Matter ◽

Brain Scans ◽

Mri Brain ◽

Cerebral White Matter Lesions ◽

Ct And Mri

ABSTRACTBackground: Cerebral white matter lesions (WML), evident on CT and MRI brain scans, are histopathologically heterogeneous but associated with vascular risk factors and thought mainly to indicate ischemic damage. There has been disagreement over their clinical prognostic value in predicting conversion from mild cognitive impairment (MCI) to dementia.Methods: We scrutinised and rated CT and MRI brain scans for degree of WML in a memory clinic cohort of 129 patients with at least 1 year of follow-up. We examined the relationship between WML severity and time until conversion to dementia for all MCI patients and for amnestic (aMCI) and non-amnestic (naMCI) subgroups separately.Results: Five-year outcome data were available for 87 (67%) of the 129 patients. The proportion of patients converting to dementia was 25% at 1 year and 76% at 5 years. Patients with aMCI converted to dementia significantly earlier than those with naMCI. WML severity was not associated with time to conversion to dementia for either MCI patients in general or aMCI patients in particular. Among naMCI patients, there was a tendency for those with a low degree of WML to survive without dementia for longer than those with a high degree of WML. However, this was not statistically significant.Conclusions: MCI subtype is a significant independent predictor of conversion to dementia, with aMCI patients having higher risk than naMCI for conversion throughout the 5-year follow-up period. WML severity does not influence conversion to dementia for aMCI but might accelerate progression in naMCI.

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Anterior temporal lobectomy: A cross-sectional observational study of potential surgical candidates at a single institute

Surgical Neurology International ◽

10.25259/sni_796_2021 ◽

2021 ◽

Vol 12 ◽

pp. 565

Author(s):

Aayesha Soni ◽

Edward Lee Pan ◽

Lawrence Tucker

Keyword(s):

Observational Study ◽

Focal Epilepsy ◽

Tertiary Hospital ◽

Mesial Temporal Lobe Epilepsy ◽

Temporal Lobectomy ◽

Cross Sectional ◽

Anterior Temporal Lobectomy ◽

Brain Scans ◽

Mri Brain ◽

Epileptiform Discharges

Background: Epilepsy is a common neurological disorder, associated with serious cognitive, physical, and psychosocial burdens. Mesial temporal lobe epilepsy (mTLE) is the commonest form of focal epilepsy. The aim of this study was to establish the incidence of patients with electroencephalographic epileptiform discharges consistent with mTLE attending a tertiary hospital in South Africa, and determine whether these patients may be candidates for anterior temporal lobectomy. Methods: This was a cross-sectional observational study of all patients receiving scalp electroencephalograms (EEG) performed at the Groote Schuur Hospital Neurophysiology laboratory during the period January 1, 2017–December 31, 2019. Where magnetic resonance imaging (MRI) brain scans had been performed, these were assessed for corroborative evidence of mTLE. Results: Over the 3-year period, 4 342 EEGs were assessed. A total of 411 (11%) showed epileptiform discharges consistent with all epilepsy types. Of these, 327 (69%) were of focal onset and 108 (33% of all focal onset epilepsies) were consistent with mTLE. Of the patients with electroencephalographic features of mTLE, only 27 (25%) had had MRI brain scans performed according to an epilepsy surgery protocol. None of these patients had been considered for surgery. Conclusion: Surgery, especially anterior temporal lobectomy, is widely acknowledged to be an efficacious and cost-effective intervention in patients with drug-resistant mTLE. The findings of our study suggest that patients with mTLE in our setting are under-investigated for potential surgery; and that it is under-utilized. These findings are in line with similar studies in both well-resourced and resource-constrained countries. Our study also highlights the utility of EEG as a practical screening tool to identify potential surgical candidates, as well as the establishment of an EEG and MRI database to assist in recognizing these patients.

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Intensity Inhomogeneity Correction Scheme for 3d-Dimensional Mri Brain Scans using Histogram Matching

VAWKUM Transactions on Computer Sciences ◽

10.21015/vtcs.v11i2.435 ◽

2016 ◽

Vol 11 (2) ◽

pp. 1

Author(s):

Yakubu Suleiman Baguda ◽

Abubakar Suleiman Baguda ◽

Usman Suleiman Baguda

Keyword(s):

Intensity Inhomogeneity ◽

Brain Scans ◽

Mri Brain ◽

Inhomogeneity Correction ◽

Histogram Matching ◽

Correction Scheme

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Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/3-540-48229-6_48 ◽

2001 ◽

pp. 349-358 ◽

Cited By ~ 1

Author(s):

Nathalie Richard ◽

Michel Dojat ◽

Catherine Garbay

Keyword(s):

Dynamic Adaptation ◽

Brain Scans ◽

Mri Brain ◽

Cooperative Agents

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Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans

Computer Methods and Programs in Biomedicine ◽

10.1016/s0169-2607(97)01803-8 ◽

1997 ◽

Vol 53 (1) ◽

pp. 15-25 ◽

Cited By ~ 178

Author(s):

Peter A. Freeborough ◽

Nick C. Fox ◽

Richard I. Kitney

Keyword(s):

Brain Scans ◽

Mri Brain ◽

Interactive Algorithms

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Functional brain MRI in patients complaining of electrohypersensitivity after long term exposure to electromagnetic fields

Reviews on Environmental Health ◽

10.1515/reveh-2017-0014 ◽

2017 ◽

Vol 32 (3) ◽

Cited By ~ 2

Author(s):

Gunnar Heuser ◽

Sylvia A. Heuser

Keyword(s):

Magnetic Resonance Imaging ◽

Head Injury ◽

Functional Mri ◽

Resonance Imaging ◽

Diagnostic Aid ◽

Brain Scans ◽

Mri Brain ◽

Electromagnetic Hypersensitivity ◽

History Of

AbstractIntroduction:Ten adult patients with electromagnetic hypersensitivity underwent functional magnetic resonance imaging (fMRI) brain scans. All scans were abnormal with abnormalities which were consistent and similar. It is proposed that fMRI brain scans be used as a diagnostic aid for determining whether or not a patient has electromagnetic hypersensitivity. Over the years we have seen an increasing number of patients who had developed multi system complaints after long term repeated exposure to electromagnetic fields (EMFs). These complaints included headaches, intermittent cognitive and memory problems, intermittent disorientation, and also sensitivity to EMF exposure. Regular laboratory tests were within normal limits in these patients. The patients refused to be exposed to radioactivity. This of course ruled out positron emission tomography (PET) and single-photon emission computed tomography (SPECT) brain scanning. This is why we ordered fMRI brain scans on these patients. We hoped that we could document objective abnormalities in these patients who had often been labeled as psychiatric cases.Materials and methods:Ten patients first underwent a regular magnetic resonance imaging (MRI) brain scan, using a 3 Tesla Siemens Verio MRI open system. A functional MRI study was then performed in the resting state using the following sequences:Results:All ten patients had abnormal functional MRI brain scans. The abnormality was often described as hyper connectivity of the anterior component of the default mode in the medial orbitofrontal area. Other abnormalities were usually found. Regular MRI studies of the brain were mostly unremarkable in these patients.Conclusion:We propose that functional MRI studies should become a diagnostic aid when evaluating a patient who claims electrohypersensitivity (EHS) and has otherwise normal studies. Interestingly, the differential diagnosis for the abnormalities seen on the fMRI includes head injury. It turns out that many of our patients indeed had a history of head injury which was then followed sometime later by the development of EHS. Many of our patients also had a history of exposure to potentially neurotoxic chemicals, especially mold. Head injury and neurotoxic chemical exposure may make a patient more vulnerable to develop EHS.

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