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Ultrasound diagnostics is a key tool in the investigation of renal diseases in pediatric patients due to its non-invasiveness and accessibility. Although it offers many advantages. Its accuracy in detecting functional pathological changes is investigated in this article. This pilot study included 17 children aged 1 to 18 years who underwent renal ultrasound examination followed by scintigraphy examination in a nuclear medicine clinic. Renal ultrasound images were analyzed using the digital B-MODE Assist system. wh...

Diagnostic ultrasound (US) and magnetic resonance imaging (MRI) are important medical imaging methods in modern radiology. Our research is focused on imaging brain structures in neurology. In this paper we present differences of digital image analysis of the substantia nigra (SN) between US and MRI using the same algorithm. In the past, we developed an application for analyzing substantia nigra echogenicity in BMODE US images. Our developed application is based on a principle of binary thresholding in Region of In...

In 2011, we developed our application for B-imaging based on binary thresholding algorithm in a selectable Region of Interest. This application has been used in many studies focused on ultrasound B-imaging in neurology; primarily for substantia nigra echogenicity examination and also for some different brain structures, e.g. mediotemporal lobe atrophy investigation. One of principal output value is an echogenicity index which is used as a marker of the echogenicity grade. Many published studies showed that is well...

The aim of the presented paper is to give a review of the classification of atherosclerotic plaques between two different input values; using computer image analysis and a visual assessment by an experienced sonographer. In the case of computer analysis, the echogenicity index (Echo-Index) is used. In the case of visual assessment, echogenicity of the plaques have been evaluated from histological patterns. In the case of computer image analysis, B-images have been processed. To computer image analysis, our develop...

We have developed an online information system of digitized B-images and histological patterns acquired from more than 500 patients. In this system, the data are stored in the form of text and image information. For each patient, there is stored information about anamnesis and diagnosis with B-images and histological patterns of atherosclerotic plaques. Firstly, the database is primarily intended for an experienced neurologist to store clinical data for various clinical studies in neurology. In the second phase, t...

The presented paper is focused on digital image processing of medial temporal lobe (MTL) brain structure displayed in B-image. The analysis of the echogenicity grade of the MTL is an important part of Alzheimer?s Disease diagnosis. The image processing is based on the computation of the ratio of black/white pixels in square-shape Region of Interest (ROI) in which the MTL is visible. This ratio could correspond with the MTL echogenicity grade. For this analysis, the core of our developed computer application create...

The presented paper is focused on evaluation of progress stability of atherosclerotic plaques which were examined using B-MODE during at least 5 years. For this study have been examined total of 482 patients. For each patient are stored data of atherosclerotic plaque separately in left and right carotid artery. The goal of this study is to observe progress of the plaque width in transversal section. The width has been measured using diagnostic ultrasound with resolution 0.04 mm; measured width has accuracy of 0.1 ...

We have developed an online information system of mechanical recanalizations which is used in stroke centers in Czech Republic. The application is technically based on HTML forms, PHP and MySQL database. The system is online, independent on operating system and with possibilities to extend the functionality, there are main benefits. The database of mechanical recanalizations is a useful tool for long-period studies in neurosonology. Practical using, goals and benefits of the system is discussed in the first part o...

The goal of the presented application is to find a simple way how to randomly divide n patients into 2 groups 1 and 2. The main requirement is no dependency on target platform and the application must be available online for many different medical departments. Each department must have a unique login. No higher security level such as two-factor authentication is required. The results of the division into the groups represent a random choice of patients recommended to conventional and a new treatment without any pr...