scholarly journals Performance comparison of various denoising filters for brain MRI images

2018 ◽  
Vol 7 (2.21) ◽  
pp. 361
Author(s):  
M Latha ◽  
S Arun
Keyword(s):  
Visual Information ◽  
Structural Changes ◽  
Brain Mri ◽  
Invasive Procedure ◽  
Performance Comparison ◽  
Experimental Methodology ◽  
Original Image ◽  
Non Invasive ◽  
Normal Metabolism ◽  
The Brain

Communication in the modern age has been done via Visual information which is being transmitted in the form of digital images. The transmitted image often contains noise and need to be preprocessed before applied in algorithms. Image provides some useful structural and functional information about the brain after involving into a simple and non-invasive procedure. Various functional modalities like CT, SPECT and MRI detects some changes in normal metabolism and in flow of blood. If the original image is noisy or has any structural changes, it becomes difficult to identify the required features from the original image and hence preprocessing becomes an essential step. An experimental methodology has been done which compares and classify the various denoising filters.  

scholarly journals Practical use of High-Resolution 20 MHz Ultrasonography in Dermatovenerology

2016 ◽  
Vol 16 (3) ◽  
pp. 22-31
Author(s):  
A Kozarova ◽  
E Minarikova ◽  
T Pappova
Keyword(s):  
High Frequency ◽  
Visual Information ◽  
Diagnostic Procedure ◽  
Skin Diseases ◽  
Invasive Procedure ◽  
Thickness Measurement ◽  
Imaging Method ◽  
Excellent Correlation ◽  
Skin Tumours ◽  
Non Invasive

Abstract High-frequency skin ultrasonography using Dermascan C, manufactured by Cortex Technology, is an important part of modern diagnostic procedure of various skin diseases. It has been used in dermatology since 1979, when it was first used for the measurement of cutaneous thickness. Ultrasonography is a universal, painless, low-risk and non-invasive procedure that can easily be performed and repeated. It provides real-time visual information about the processes in the skin. This technique has grown to become frequent imaging method in dermatology. Skin ultrasonography is usually applied in the assessment of skin tumours, inflammatory or fibrosing skin diseases. The main application of ultrasonography in dermatovenerology is a preoperative thickness measurement of malignant melanoma. There is an excellent correlation between ultrasonographic and histological measurements of melanomas thickness. Moreover, information about the lesion quality and the inner structure can be obtained. In this article authors present the possibility of using high-frequency 20 MHz ultrasonography in dermatovenerology.

U-Net Model-Based Classification and Description of Brain Tumor in MRI Images

2021 ◽  
pp. 2140005
Author(s):  
P. Prakash Tunga ◽  
Vipula Singh ◽  
V. Sri Aditya ◽  
N. Subramanya
Keyword(s):  
Brain Tumor ◽  
Brain Mri ◽  
Ground Truth ◽  
Invasive Technique ◽  
Imaging Method ◽  
Non Invasive ◽  
Tissue Contrast ◽  
Tumor Region ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

In this paper, we discuss the classification of the brain tumor in Magnetic Resonance Imaging (MRI) images using the U-Net model, then evaluate parameters that indicate the performance of the model. We also discuss the extraction of the tumor region from brain image and description of the tumor regarding its position and size. Here, we consider the case of Gliomas, one of the types of brain tumors, which occur in common and can be fatal depending on their position and growth. U-Net is a model of Convolutional Neural Network (CNN) which has U-shaped architecture. MRI employs a non-invasive technique and can very well provide soft-tissue contrast and hence, for the detection and description of the brain tumor, this imaging method can be beneficial. Manual delineation of tumors from brain MRI is laborious, time-consuming and can vary from expert to expert. Our work forms a computer aided technique which is relatively faster and reproducible, and the accuracy is very much on par with ground truth. The results of the work can be used for treatment planning and further processing related to storage or transmission of images.

scholarly journals Mapping the Human Visual Thalamus and its Cytoarchitectonic Subdivisions Using Quantitative MRI

2020 ◽  
Author(s):  
Christa Müller-Axt ◽  
Cornelius Eichner ◽  
Henriette Rusch ◽  
Louise Kauffmann ◽  
Pierre-Louis Bazin ◽  
...  
Keyword(s):  
High Resolution ◽  
Visual Information ◽  
Quantitative Mri ◽  
7 Tesla ◽  
Post Mortem ◽  
Non Invasive ◽  
Visual Thalamus ◽  
Processing Site ◽  
The Brain

AbstractThe human lateral geniculate nucleus (LGN) of the visual thalamus is a key subcortical processing site for visual information analysis. A non-invasive assessment of the LGN and its functionally and microstructurally distinct magnocellular (M) and parvocellular (P) subdivisions in-vivo in humans is challenging, because of its small size and location deep inside the brain. Here we tested whether recent advances in high-field structural quantitative MRI (qMRI) can enable MR-based mapping of human LGN subdivisions. We employed ultra-high resolution 7 Tesla qMRI of a post-mortem human LGN specimen and high-resolution 7 Tesla in-vivo qMRI in a large participant sample. We found that a quantitative assessment of the LGN and a differentiation of its subdivisions was possible based on microstructure-informed MR-contrast alone. In both the post-mortem and in-vivo qMRI data, we identified two components of shorter and longer longitudinal relaxation time (T1) within the LGN that coincided with the known anatomical locations of a dorsal P and a ventral M subdivision, respectively. Through a subsequent ground truth histological examination of the same post-mortem LGN specimen, we showed that the observed T1 contrast pertains to cyto- and myeloarchitectonic differences between LGN subdivisions. These differences were based on cell and myelin density, but not on iron content. Our qMRI-based mapping strategy overcomes shortcomings of previous fMRI-based mapping approaches. It paves the way for an in-depth understanding of the function and microstructure of the LGN in humans. It also enables investigations into the selective contributions of LGN subdivisions to human behavior in health and disease.Significance StatementThe lateral geniculate nucleus (LGN) is a key processing site for the analysis of visual information. Due to its small size and deep location within the brain, non-invasive mapping of the LGN and its microstructurally distinct subdivisions in humans is challenging. Using quantitative MRI methods that are sensitive to underlying microstructural tissue features, we show that a differentiation of the LGN and its microstructurally distinct subdivisions is feasible in humans non-invasively. These findings are important because they open up novel opportunities to assess the hitherto poorly understood complex role of the LGN in human perception and cognition, as well as the contribution of selective LGN subdivision impairments to various clinical conditions including developmental dyslexia, glaucoma and multiple sclerosis.

Structural Changes on the Brain MRI and Cognitive Function in Parkinson Disease

2014 ◽  
Vol 2 (1) ◽  
pp. 47-53
Author(s):  
Ae Lee ◽  
◽  
Juyoun Lee ◽  
Byong Choi ◽  
Seong-Hae Jeong ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Parkinson Disease ◽  
Structural Changes ◽  
Brain Mri ◽  
The Brain

Brain Tumor and Its Segmentation From Brain MRI Sequences

2019 ◽  
pp. 39-60
Author(s):  
Sanjay Saxena ◽  
Puspanjali Mohapatra ◽  
Swati Pattnaik
Keyword(s):  
Brain Tumor ◽  
Brain Mri ◽  
Tumor Segmentation ◽  
Brain Tumor Segmentation ◽  
Non Invasive ◽  
Main Motive ◽  
Tissue Contrast ◽  
Brain Magnetic Resonance Image ◽  
Mri Sequences ◽  
The Brain

Automated segmentation of tumorous region from the brain magnetic resonance image (MRI) is the procedure of extrication anomalous tissues from regular tissues, such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). The process of accurate and efficient segmentation is still exigent because of the diversity of location, size, and shape of the tumorous region. Brain MRI provides metabolic process, psychological process, and descriptive information of the brain. Brain tumor segmentation using MRI is drawing the attention of the researchers due to its non-invasive nature and good soft tissue contrast of MRI sequences. The main motive of this chapter is to provide a broad overview of the methods of brain tumor segmentation based on MRI. This chapter provides the information of the brain tumor, its types, brief introduction of the MRI, and its diverse types, and lastly, this chapter gives the brief overview with benefits and limitations about diverse techniques used for brain tumor segmentation by different researchers and scientists.

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

Native Ubiquitin Structural Changes Resulting from Complexation with β-methylamino-L-alanine (BMAA)

2020 ◽  
Author(s):  
Katie Mae Wilson ◽  
Aurora Burkus-Matesevac ◽  
Samuel Maddox ◽  
Christopher Chouinard
Keyword(s):  
Structural Changes ◽  
Noncovalent Complex ◽  
Unfolded Protein ◽  
Protein Size ◽  
High Concentrations ◽  
The Unfolded Protein Response ◽  
Critical Binding ◽  
Protein Response ◽  
The Brain ◽  
Lateral Sclerosis

β-methylamino-L-alanine (BMAA) has been linked to the development of neurodegenerative (ND) symptoms following chronic environmental exposure through water and dietary sources. The brains of those affected by this condition, often referred to as amyotrophic lateral sclerosis-parkinsonism-dementia complex (ALS-PDC), have exhibited the presence of plaques and neurofibrillary tangles (NFTs) from protein aggregation. Although numerous studies have sought to better understand the correlation between BMAA exposure and onset of ND symptoms, no definitive link has been identified. One prevailing hypothesis is that BMAA acts a small molecule ligand, complexing with critical proteins in the brain and reducing their function. The objective of this research was to investigate the effects of BMAA exposure on the native structure of ubiquitin. We hypothesized that formation of a Ubiquitin+BMAA noncovalent complex would alter the protein’s structure and folding and ultimately affect the ubiquitinproteasome system (UPS) and the unfolded protein response (UPR). Ion mobility-mass spectrometry revealed that at sufficiently high concentrations BMAA did in fact form a noncovalent complex with ubiquitin, however similar complexes were identified for a range of additional amino acids. Collision induced unfolding (CIU) was used to interrogate the unfolding dynamics of native ubiquitin and these Ubq-amino acid complexes and it was determined that complexation with BMAA led to a significant alteration in native protein size and conformation, and this complex required considerably more energy to unfold. This indicates that the complex remains more stable under native conditions and this may indicate that BMAA has attached to a critical binding location.

Native Ubiquitin Structural Changes Resulting from Complexation with β-methylamino-L-alanine (BMAA)

2020 ◽  
Author(s):  
Katie Mae Wilson ◽  
Aurora Burkus-Matesevac ◽  
Samuel Maddox ◽  
Christopher Chouinard
Keyword(s):  
Structural Changes ◽  
Noncovalent Complex ◽  
Unfolded Protein ◽  
Protein Size ◽  
High Concentrations ◽  
The Unfolded Protein Response ◽  
Critical Binding ◽  
Protein Response ◽  
The Brain ◽  
Lateral Sclerosis

β-methylamino-L-alanine (BMAA) has been linked to the development of neurodegenerative (ND) symptoms following chronic environmental exposure through water and dietary sources. The brains of those affected by this condition, often referred to as amyotrophic lateral sclerosis-parkinsonism-dementia complex (ALS-PDC), have exhibited the presence of plaques and neurofibrillary tangles (NFTs) from protein aggregation. Although numerous studies have sought to better understand the correlation between BMAA exposure and onset of ND symptoms, no definitive link has been identified. One prevailing hypothesis is that BMAA acts a small molecule ligand, complexing with critical proteins in the brain and reducing their function. The objective of this research was to investigate the effects of BMAA exposure on the native structure of ubiquitin. We hypothesized that formation of a Ubiquitin+BMAA noncovalent complex would alter the protein’s structure and folding and ultimately affect the ubiquitinproteasome system (UPS) and the unfolded protein response (UPR). Ion mobility-mass spectrometry revealed that at sufficiently high concentrations BMAA did in fact form a noncovalent complex with ubiquitin, however similar complexes were identified for a range of additional amino acids. Collision induced unfolding (CIU) was used to interrogate the unfolding dynamics of native ubiquitin and these Ubq-amino acid complexes and it was determined that complexation with BMAA led to a significant alteration in native protein size and conformation, and this complex required considerably more energy to unfold. This indicates that the complex remains more stable under native conditions and this may indicate that BMAA has attached to a critical binding location.

APLIKASI PENAJAMAN CITRAA STREET VIEW MENGGUNAKAN METODE GRAMD SCHMIDT SPECTRAL SHARPENING DAN HIGH PASS FILTERING

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Erna Verawati ◽  
Surya Darma Nasution ◽  
Imam Saputra
Keyword(s):  
Image Processing ◽  
Visual Information ◽  
Intensity Difference ◽  
Original Image ◽  
Filtering Method ◽  
The Road ◽  
Street View ◽  
Result Show ◽  
Filter Process ◽  
High Pass

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.

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