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This paper presents a new method for segmentation of ambiguously defined structures, such as the hippocampus, by exploiting prior knowledge from another perspective. An expert's experience of where to use prior knowledge and where image information, is captured as a local weighting map. This map can be used to locally guide the evolution in a level set evolution framework. Such a map is produced for...
We present here an electric circuit model that fits the behavior of iridium oxide coated electrodes when tested in vitro and in vivo. Our objective is to understand the interface between the active iridium oxide and the biological tissue. In order to do that we have first measured the impedance and the cyclic voltammetry in five electrodes which we later implanted in the hippocampi of rodents. While...
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas based segmentation method. Our classifier ensemble algorithm searches for the maximum likelihood solution via gradient ascent optimization. Compared to the additive regression based algorithm, LogitBoost, our algorithm avoids...
Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate intra- and inter-regional...
Parkinson's disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Determining changes of spontaneous activity and connectivity of the brain is a critical step towards treatment of PD patients. Resting State functional Magnetic Resonance Imaging (RS-fMRI) is a non-invasive method that we use in this work to investigate intra- and inter-regional...
Due to the limited resolution of Positron Emission Tomography (PET), loss of signal through Partial Volume is significant for small structures. Consequently, Partial Volume Correction (PVC) is often used in PET imaging to recover this lost signal within images. Numerous methods have been proposed, and can be divided in multiple ways. One division is the separation of methods utilising image based...
There is an unmet medical need for identifying neuroimaging biomarkers for Alzheimer's disease (AD), the most common form of senile dementia. These biomarkers are essential for early and accurate diagnosis of AD, monitoring of AD progression, and assessment of AD-modifying therapies. In volumetric studies of the medial temporal lobe and hippocampus, magnetic resonance imaging (MRI), as a technique...
Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to start and guide the segmentation process. In many cases, the quality of the atlas may have a significant effect in the final result. In the literature, commonly used atlases may be obtained...
Brain volume differences from 58 children are analyzed to determine the degree of volume loss and the effect on IQ after undergoing radiotherapy for tumors in an effort to identify relationships that might yield knowledge in preventing brain volume loss in future treatments. Analysis of the pre- and post-treatment data is performed first using traditional statistics and then with the assistance of...
In neural networks, when new patterns are learned by a network, the new information radically interferes with previously stored patterns. This drawback is called catastrophic forgetting or catastrophic interference. In this paper, we propose a biologically inspired neural network model which overcomes this problem. The proposed model consists of two distinct networks: one is a Hopfield type of chaotic...
White noise makes peroxidative damage of the brain, dose it have effect on the phosphorylation of tau in hippocampus? We used 66 mice exposed to 80 dB SPL white noise for 3 days, 1 week, and 3 weeks respectively, then detected the changes of Superoxide dismulase (SOD) activity and malondialdehyde (MDA) content in inferior colliculus (IC), auditory cortex (AC), and hippocampus. Meanwhile we detected...
Brain development has become a prominent issue in recent years. In people with or without any visible or invisible diseases, degeneration is an inevitable phenomenon that a brain will develop over time. Diffusion Tensor Image (DTI) has been a robust technique to observe white matter details in normal subjects and in patients. In this study, our goal is to consolidate DTI indices to properly differentiate...
Thalamus and its interaction with cerebral cortex are considered essential in the generation and propagation of spike and wave discharge (SWD). Our objective is to evaluate the spontaneous functional connectivity between the thalamus and cerebral cortex in absence epilepsy. We use the resting-state fMRI to determine the whole brain functional connectivity with the mediodorsal thalamic nucleus (MDTN)...
MRI studies in post-traumatic stress disorder (PTSD) have focused primarily on manually-based hippocampal volumetry. However, the variation in cortical thickness and the relationship between the cortical volume and thickness alteration has not been well investigated in PTSD. In this paper, Laplacian method was first utilized to estimate cortical thickness after automatic segmentation of grey matter...
Endotoxin-induced brain lesion (EIBL) is commonly encountered in clinic. However, the pathological mechanism of EIBL has not yet been fully clarified. Endotoxin (gram-negative cell wall lipopolysaccharide, LPS) is a major factor resulting in brain lesion. The papers showed that the LPS-induced brain lesion will activate the endogenous protective mechanism in the Pathological process of ischemia and...
Spherical harmonics (SPHARM) is a powerful tool for modelling and processing of 3D connected objects of any shape. SPHARM popularity lies in its capability of revealing surfaces global discrepancies in a multi-scale manner. In medical image analysis, this capability is of great importance in diagnosis of diseases that are related to deformations in the brain structures, such as mesial temporal lobe...
The subgranular zone of the dentate gyrus of sexually mature mice contains a highly variable number of pluripotent stem cells that produce a stream of intermediate progenitors which give rise to neurons and glial cells. Genetic factors, age, and the environment control variation in the fate and rate of neurogenesis. Discovery of stem cells in the adult CNS has catalyzed wide-ranging research into...
We introduce a 3D segmentation framework which uses principal shapes. The probabilistic energy function of the method is defined based on intensity, tissue type, and location information of the structures using a multiple atlas method. For intensity information, nonparametric probability density function is used which considers intensity relation of different structures. To find a local minimum of...
This article studies the possibility of detecting dementia in an early stage, using nonrigid registration of MR brain scans in combination with dissimilarity-based pattern recognition techniques. Instead of focussing on the shape of a single brain structure, we take into account the shape differences within the entire brain. Imaging data was obtained from a longitudinal, population based study of...
Sphingolipids are structural elements of cell membrane and have an important role in signal transmission as second messengers of the cell. Ceramide, which is an important sphingolipid, causes cellular differentiation or apoptosis by activating intracellular enzymes with the influence of extracellular stimulants. Because of these characteristics, it is considered that ceramide is an essential molecule...
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