Aim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating is a key approach investigating patients with angina pectoris and no significant artery disease. Blood estimation central assessing flow reserve. Methods & Results: A multi-step automatic method for based on information extracted solely from angiography sequence obtained by invasive selective catheterization developed. The includes 1) an iterative process of...

Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of cerebral ischemic stroke. CT perfusion (CTP) often added to the protocol by radiologists assessing severity Standard parametric maps are calculated from CTP datasets. Based on value combinations, regions separated into presumed infarct core (irreversibly damaged tissue) penumbra (tissue-at-risk). Different thresholding approaches have been suggested segment these areas. The...

Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for stroke, one of the prevalent diseases with highest mortality rate. While numerous deep neural network approaches have recently been proposed to tackle this problem, these methods require large amounts annotated regions during training, which can be impractical medical domain where data is scarce. As a remedy, we present prototypical few-shot approach using only sample training. The...

Time is a fundamental factor during stroke treat-ments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, set of color-coded parametric maps generated from computed tomography per-fusion (CTP) images are investigated manually to decide plan. We propose an method based on neural network using segment the two (core and penumbra) in patients affected by acute stroke. Our model convolution-deconvolution bottleneck structure with...

The spatial interactions of synaptic vesicles in synapses were assessed after a detailed characterization size, shape, and orientation the vesicles. We hypothesized that shape are influenced by their movement toward active zone causing deviations from spherical systematic trends orientation. studied three-dimensional representations obtained manual annotation focused ion beam scanning electron microscopy (FIB-SEM) images male mouse brain. configurations regarded as marked point patterns,...

Precise and fast prediction methods for ischemic areas comprised of dead tissue, core, salvageable penumbra, in acute stroke (AIS) patients are significant clinical interest.They play an essential role improving diagnosis treatment planning.Computed Tomography (CT) scan is one the primary modalities early assessment with suspected AIS.CT Perfusion (CTP) often used as a to determine location, severity, volume lesions.Current automatic segmentation CTP mostly use already processed 3D...

We propose a method for estimating the thickness of ultra thin histological sections by image statistics alone. Our works images, that are realisations stationary and isotropic stochastic process, it relies on existence statistical image-measures strictly monotonic with distance. to use standard deviation difference between pixel values as function distance, give an extremely simple, linear algorithm. algorithm is applied challenging domain electron microscopic supposedly 45 nm apart, we...

Stress can affect the brain functionality in many ways. As synaptic vesicles have a major role nervous signal transportation synapses, their distribution relationship to active zone is very important studying neuron responses. We study effect of stress on by statistically modelling two groups rats: control group subjected sham and stressed single acute foot-shock (FS)-stress episode.

Summary Behavioural stress has shown to strongly affect neurotransmission within the neocortex. In this study, we analysed effect of an acute model on density and distribution neurotransmitter‐containing vesicles medial prefrontal cortex. Serial section transmission electron microscopy was employed compare two groups male rats: (1) rats subjected foot‐shock (2) with sham as control group. Two‐dimensional (2D) measures are common in microscopic images estimated by following a 2D path...

More than 13 million people suffer from ischemic cerebral stroke worldwide each year. Thrombolytic treatment can reduce brain damage but has a narrow window. Computed Tomography Perfusion imaging is commonly used primary assessment tool for patients, and typically the radiologists will evaluate resulting parametric maps to estimate affected areas, dead tissue (core), surrounding at risk (penumbra), decide further treatments. Different work been reported, suggesting thresholds, semi-automated...

Quantification of the hip cartilages is clinically important. In this study, we propose an automatic technique for segmentation and visualization acetabular femoral head based on obtained multi-slice T1-weighted MR data a hybrid approach. We follow knowledge approach by employing several features such as anatomical shapes corresponding image intensities. estimate center Hough transform then automatically select volume interest. segment bones self-adaptive vector quantization technique. Next,...

Gaining information about heart and coronary arteries such as estimating the flow velocity reserve (CFR) by only using 2D + time X-ray angiography sequence is of great interest due to its availability. In literature most methods are focused on segmenting vessel lumen images. This paper propose segment from 2D+time sequences during contrast fluid propagation, a multi-step method based unsharp masking followed an iterative process non-rigid registration, until alignment registration...

Segmentation of the cartilages in hip joint is important diagnosis diseases. Automatic localization articular space a major step for finding central line this regard. In study, we propose an automatic technique segmentation using clinically obtained multi-slice TI-weighted MR data. To perform isotropic dataset, resampled data sets with modified sine interpolation which reduces effect unwanted Gibbs ringing. By assuming spherical shape femur, estimated center femoral head by Hough transform....

The Takacs--Fiksel method is a general approach to estimate the parameters of spatial Gibbs point process. This embraces standard procedures such as pseudolikelihood and defined via weight functions. In this paper we propose procedure find functions which reduce Godambe information thus outperform in certain situations. new applied dataset recent neuroscience replicated pattern dataset. Finally, performance investigated simulation study.

Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for stroke, one of the prevalent diseases with highest mortality rate. While numerous deep neural network approaches have recently been proposed to tackle this problem, these methods require large amounts annotated regions during training, which can be impractical medical domain where data is scarce. As a remedy, we present prototypical few-shot approach using only sample training. The...

Precise and fast prediction methods for ischemic areas comprised of dead tissue, core, salvageable penumbra, in acute stroke (AIS) patients are significant clinical interest. They play an essential role improving diagnosis treatment planning. Computed Tomography (CT) scan is one the primary modalities early assessment with suspected AIS. CT Perfusion (CTP) often used as a to determine location, severity, volume lesions. Current automatic segmentation CTP mostly use already processed 3D...

Time is a fundamental factor during stroke treatments. A fast, automatic approach that segments the ischemic regions helps treatment decisions. In clinical use today, set of color-coded parametric maps generated from computed tomography perfusion (CTP) images are investigated manually to decide plan. We propose an method based on neural network using segment two (core and penumbra) in patients affected by acute stroke. Our model convolution-deconvolution bottleneck structure with multi-input...