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1
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EN
Reliable, remote pulse rate measurement is potentially very important for medical diagnostics and screening. In this paper the Videoplethysmography was analyzed especially to verify the possible use of signals obtained for the YUV color model in order to estimate the pulse rate, to examine what is the best pulse estimation method for short video sequences and finally, to analyze how potential PPG-signals can be distinguished from other (e.g. background) signals. The presented methods were verified using data collected from 60 volunteers.
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Remote estimation of vital signs is an important and active area of research. The goal of this work was to analyze the feasibility of estimating respiration parameters from video sequences of faces recorded using a mobile thermal camera. Different estimators were analyzed and experimentally verified. It was demonstrated that the respiration rate, peri-odicity of respiration, and presence and length of apnea periods could be reliably estimated from signals recorded using a portable thermal camera. The size of the camera and efficiency of the methods allow the implementation of this method in smart glasses.
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Content available Content-based retrieval system as a telemedical tool
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EN
The problem of medical teleconsultations with intelligent computer system rather than with a human expert is analyzed. System for content-based retrieval of images is described and presented as a use case of telemedical tool. Selected features, crucial for retrieval quality, are introduced including: synthesis of parametric images, regions of interest detection and extraction, definition of content-based features, generation of descriptors, query algebra, system architecture and performance. Additionally, electronic business pattern is proposed to generalize teleconsultation services like content-based retrieval systems
4
Content available Similarity analysis in medical image databases
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EN
The review of methods of similarity analysis of medical images is presented. Feature extraction, feature representation and different concepts of image query algebra problems are described and discussed from the medical application point of view. New algorithms based on medical image regularity description and intensity description are proposed. As a conclusion a Java application "ObrazMed" for content based medical image analysis is presented.
PL
Przedstawiono nowe metody opisu i wyszukiwania obrazów na podstawie ich treści. Zaproponowano schemat ekstrakcji regionów oraz generacji ich opisów z zastosowaniem kodów długości serii. W opracowanym systemie zaprojektowano i zaimplementowano możliwość definiowania zapytań do baz danych uwzględniając: właściwości i parametry regionu (deskryptory intensywności, deskryptory tekstury, deskryptory kształtu) oraz relacji przestrzennych pomiędzy regionami. Opracowane algorytmy segmentacji obrazów, algorytmy wyznaczania deskryptorów oraz implementacja wyszukiwania danych charakteryzują się niskim kosztem obliczeniowym w porównaniu do istniejących rozwiązań, przy podobnej skuteczności.
6
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EN
Synthesis of quantitative parametric images in DSC-MRI is presented. Critical review of major limitations of the DSC-MRI method is discussed. It includes investigation of measurement procedures/conditions as well as parametric image synthesis methodology. Simulations, as well as phantom studies were used to verify theoretical limitations of the DSC-MRI. Especially, estimation of the contrast (Gd-DTPA) concentration by EPI measurements, the role of a phantom and its pipes orientation, influence of a bolus dispersion, bolus arrival time, and other signal parameters on an image quality. As a conclusion testing software package is proposed.
7
Content available remote Synthesis of parametric images in the medical active thermography
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EN
A new method of parametric images synthesis for active, pulse thermography is presented. Based on experimental results the thermal model of the observed object is proposed. Thermal model validation results on thermal transients basing on the FEM studies are presented. Examples of parametric images are presented and described for phantoms and for in-vivo measurements. Possible applications are discussed.
8
Content available Registration and normalization of MRI/PET images
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EN
Parametric imaging is more and more popular in dynamic brain studies. It enables to quantitatively or semi-quantitatively estimate physiological state and processes in brain. Parametric images represent spatial distribution of parameter values calculated for chosen mathematical model of the process or object. This work compares different methods of geometrical transformations for image registration and normalization. Appropriate method for image registration and normalization (in reference to atlases) is extremely important for common visualization of structural and parametric images in MRI and PET studies. Rigid and elastic geometrical transformations are implemented and compared. Additionally Delaunay triangulation and image morphing methods are used. Manual and proposed automatic registration and normalization methods are presented and compared based on MRI/PET and Talairach atlas images. Concluding, the proposed automatic image normalization method is accurate and using the combination of Delaunay and morphing methods can produce even better results.
EN
Parametric imaging is more and more popular in dynamic brain studies. It enables to quantitatively or semi-quantitatively estimate physiological state and processes in brain. This work analyse the dynamic 18FDG-PET studies for estimation of brain glucose metabolism. The influence of the signal noise is analysed to estimate its influence on the final glucose metabolism parameter values. The LCMRGlc parameter is under investigation. It is based on three compartmental model proposed by Phelps. Using different 18FDG-PET data series obtained from independent sources the Gaussian noise was introduced (with different variance). Then the quality of the model fitting results were estimated. The final results clearly indicates than the noise is highly compensated in microparameter used in calculation of LCMRGlc. Concluding, it is possible to estimate the LCMRGlc parameter value even in the presence of noise.
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Content available Validity of MRI brain perfusion imaging method
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EN
Brain perfusion imaging using Dynamic Susceptibility Contrast Magnetic Resonance Imaging is very promising method since it can be easily implemented as a standard contrast-based MRI procedure. Quantitative brain perfusion description by DSC-MRI data post processing requires validation. Different validation analysis was performed to verify the influence of a bolus dispersion, delay, low SNR and calculation procedures on final perfusion parameter values. The results indicate that quantitative description of brain perfusion using DSC-MRI is possible and can be acceptable with accuracy about 10%.
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EN
Applications of image registration in parametric imaging are investigated. The manual and automatic image registration methods have been used for image to image registration in sequences to correct movement artefacts in reconstructed parametric objects. Additionally the registration methods were used for multimodal visualisation of structural and parametric objects. The achieved results proved that the automatic image to image registration, for motion mechanisms correction, in the parametric model improves the quality of images. The multimodal visualisation of structural MRI images and parametric DSC-MRI images, enables to correlate the local dynamic changes with all morphological features.
PL
Zaprezentowano analizę teoretyczną podstaw obrazowania parametrycznego dla badań dynamicznych mózgu z dożylnym podaniem środka kontrastującego. Opracowano oprogramowanie umożliwiające syntezę obrazów parametrycznych. Na podstawie przeprowadzonej analizy oraz wstępnych wyników symulacji wskazano na potrzebę dalszych badań celem standaryzacji obrazowania parametrycznego.
14
Content available Integrated, radiological database structure
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EN
The rapid development of medical imaging requires the proper preparation of a medical database structure for the multimedia information acquired during a patient visit. This paper presents a study on the integrated structure of a radiological database based on the DICOM and HL7 standards and on medical coding systems. The conclusions are based on the Radiological Information System Project prepared for the Institute of Radiology at the Medical University of Gdansk.
PL
Praca przedstawia wyniki analizy efektywnościowej metod segmentacji obrazów tomografii komputerowej. Określono zakres i metody testów umożliwiających porównanie znanych, wybranych metod segmentacji obrazów medycznych. Analiza metod została przeprowadzona pod kątem dokładności z jaką zostały wyodrębnione obiekty po segmentacji, w stosunku do oryginalnych obiektów przedstawionych na obrazie oraz pod względem czasu niezbędnego do wykonania analizy.
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Content available A Detector of Sleep Disorders for Using at Home
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EN
Obstructive sleep apnea usually requires all-night examination in a specialized clinic, under the supervision of a medical staff. Because of those requirements it is an expensive and a non-widely utilized test. Moving the examination procedure to patients’ home with automatic analysis algorithms involved will decrease the costs and make it available for larger group of patients. The developed device allows all-night recordings of the following biosignals: three channels ECG, thoracic impedance (respiration), snoring sounds and larynx vibrations. Additional information, like patient’s body position changes and electrodes’ attachment quality are estimated as well. The reproducible and high quality signals are obtained using the developed and unobtrusive device.
EN
Dynamic thermography is proposed as a measurement technique for medical applications. Based on the pulsed thermography different data processing and visualisation algorithms are presented. A new model-based method of data analysis for quantitative evaluation is introduced. Results of a phantom studies are presented.
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51%
EN
Basic gesture sensors can play a significant role as input units in mobile smart devices. However, they have to handle a wide variety of gestures while preserving the advantages of basic sensors. In this paper a user-determined approach to the design of a sparse optical gesture sensor is proposed. The statistical research on a study group of individuals includes the measurement of user-related parameters like the speed of a performed swipe (dynamic gesture) and the morphology of fingers. The obtained results, as well as other a priori requirements for an optical gesture sensor were further used in the design process. Several properties were examined using simulations or experimental verification. It was shown that the designed optical gesture sensor provides accurate localization of fingers, and recognizes a set of static and dynamic hand gestures using a relatively low level of power consumption.
EN
In this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential challenges of using, storing and transferring sensitive patient data are discussed.
EN
This paper presents basic information about GIS and reveals a process of creating a system application for city emergency purposes. Traditional and modified rescue processing schemes are presented and compared. As a result a model of an optimal integrated emergency management system is described and tested by a trial software implementation based on Gdansk area data.
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