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Wyświetlanie 1-10 z 15
Tytuł:
Application of Image Processing to Predict Compressive Behavior of Aluminum Foam
Autorzy:
Kim, S.
Chung, H. J.
Rhee, K.
Powiązania:
https://bibliotekanauki.pl/articles/357032.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
aluminum foam
compute tomography (CT) image
finite element method (FEM)
Opis:
An image processing technique was used to model the internal structure of aluminum foam in finite element analysis in order to predict the compressive behavior of the material. Finite element analysis and experimental tests were performed on aluminum foam with densities of 0.2, 0.25, and 0.3 g/cm3. It was found that although the compressive strength predicted from the finite element analysis was higher than that determined experimentally, the predicted compressive stress-strain curves exhibited a tendency similar to those determined from experiments for both densities. However, the behavior of the predicted compressive stress-strain curves was different from the experimental one as the applied strain increased. The difference between predicted and experimental stress-strain curves in a high strain range was due to contact between broken aluminum foam walls by the large deformation.
Źródło:
Archives of Metallurgy and Materials; 2016, 61, 2A; 635-640
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis and comparison of symmetry based lossless and perceptually lossless algorithms for volumetric compression of medical images
Autorzy:
Chandrika, B. K.
Aparna, P.
Sumam, D. S.
Powiązania:
https://bibliotekanauki.pl/articles/333936.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
bilateral symmetry
human visual system
MRI image
CT image
just noticeable distortion
perceptually lossless compression
symetria dwustronna
obraz MRI
rezonans magnetyczny
obrazowanie metodą rezonansu magnetycznego
obraz CT
tomografia komputerowa
zniekształcenie
Opis:
Modern medical imaging techniques produce huge volume of data from stack of images generated in a single examination. To compress them several volumetric compression techniques have been proposed. Performance of these compression schemes can be improved further by considering the anatomical symmetry present in medical images and incorporating the characteristics of human visual system. In this paper a volumetric medical image compression algorithm is presented in which perceptual model is integrated with a symmetry based lossless scheme. Symmetry based lossless and perceptually lossless algorithms were evaluated on a set of three dimensional medical images. Experimental results show that symmetry based perceptually lossless coder gives an average of 8.47% improvement in bit per pixel without any perceivable degradation in visual quality against the lossless scheme.
Źródło:
Journal of Medical Informatics & Technologies; 2015, 24; 147-154
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
3D Medical Segmentation Visualization in Julia with MedEye3d
Autorzy:
Mitura, Jakub
Chrapko, Beata
Powiązania:
https://bibliotekanauki.pl/articles/1838173.pdf
Data publikacji:
2021-12
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
OpenGl
Computer Tomagraphy
PET/CT
medical image annotation
medical image visualization
Opis:
MedEye3d is a Julia language package designed to simplify visualizations of segmentation in three dimensional setting. Motivation to develop this application was to provide to rapidly growing Julia language scientific community tool for research in three dimensional medical images. Package is based on multiple open source software packages, yet most prominent is utilization of OpenGl specification to enable GPU acceleration.Application was tested both on Linux and Windows platforms and in both cases latency observed by the user in most common interaction like scrolling, annotation and change of displayed plane was very small.Thanks to utilization of many modern packages and methodologies developed package is providing convenient visualization in rapid prototyping with medical image segmentation algorithms. Application also is easily extendable and will be included in medical image segmentation framework that is currently in development.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2021, 15, 25; 57-67
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
CUDA accelerated Medical Segmentation metrics with MedEval3D
Autorzy:
Mitura, Jakub
Chrapko, Beata E.
Powiązania:
https://bibliotekanauki.pl/articles/2082265.pdf
Data publikacji:
2022-08
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
CUDA
Computer Tomagraphy
PET/CT
medical image segmentation
Opis:
Medical segmentation metrics are crucial for development of correct segmentation algorithms in medical imaging domain. In case of three dimensional large arrays representing studies like CT, PET/CT or MRI of critical importance is availability of library implementing high performance metrics. MedEval3D is created in order to fulfill this need thanks to implementation of CUDA acceleration. Most of implemented metrics like Dice coefficient, Jacard coefficient etc. are based on confusion matrix, what enable effective reuse of calculations across multiple metrics improving performance in such use case. Additionally algorithms like interclass correlation and Mahalanobis distance are also introduced. In both cases their implementations are significantly faster then their counterparts from other available libraries. Lastly programming interface to all of the metrics was created in Julia programming language.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2022, 16, 26; 7-19
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kidney Segmentation in CT Data Using Hybrid Level-Set Method with Ellipsoidal Shape Constraints
Autorzy:
Skalski, A.
Heryan, K.
Jakubowski, J.
Drewniak, T.
Powiązania:
https://bibliotekanauki.pl/articles/221728.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Level Set method
kidney
CT data
image segmentation
ellipsoid
Opis:
With development of medical diagnostic and imaging techniques the sparing surgeries are facilitated. Renal cancer is one of examples. In order to minimize the amount of healthy kidney removed during the treatment procedure, it is essential to design a system that provides three-dimensional visualization prior to the surgery. The information about location of crucial structures (e.g. kidney, renal ureter and arteries) and their mutual spatial arrangement should be delivered to the operator. The introduction of such a system meets both the requirements and expectations of oncological surgeons. In this paper, we present one of the most important steps towards building such a system: a new approach to kidney segmentation from Computed Tomography data. The segmentation is based on the Active Contour Method using the Level Set (LS) framework. During the segmentation process the energy functional describing an image is the subject to minimize. The functional proposed in this paper consists of four terms. In contrast to the original approach containing solely the region and boundary terms, the ellipsoidal shape constraint was also introduced. This additional limitation imposed on evolution of the function prevents from leakage to undesired regions. The proposed methodology was tested on 10 Computed Tomography scans from patients diagnosed with renal cancer. The database contained the results of studies performed in several medical centers and on different devices. The average effectiveness of the proposed solution regarding the Dice Coefficient and average Hausdorff distance was equal to 0.862 and 2.37 mm, respectively. Both the qualitative and quantitative evaluations confirm effectiveness of the proposed solution.
Źródło:
Metrology and Measurement Systems; 2017, 24, 1; 101-112
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Denoising and Analysis Methods of Computer Tomography Results of Lung Diagnostics for Use in Neural Network Technology
Autorzy:
Slavova, Oleksandra
Lebid, Solomiya
Powiązania:
https://bibliotekanauki.pl/articles/1833888.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
computed tomography
CT scans analysis
convolutional neural network
image clustering
image denoising
k-means clustering
Opis:
Any type of biomedical screening emerges large amounts of data. As a rule, these data are unprocessed and might cause problems during the analysis and interpretation. It can be explained with inaccuracies and artifacts, which distort all the data. That is why it is crucial to make sure that the biomedical information under analysis was of high quality to omit to receive possibly wrong results or incorrect diagnosis. Receiving qualitative and trustworthy biomedical data is a necessary condition for high-quality data assessment and diagnostics. Neural networks as a computing system in data analysis provide recognizable and clear datasets. Without such data, it becomes extremely difficult to make a diagnosis, predict the course of the disease, and treatment result. The object of this research was to define, describe, and test a new approach to the analysis and preprocessing of the biomedical images, based on segmentation. Also, it was summarized different metrics for assessing image quality depending on the purpose of research. Based on the collected data, the advantages and disadvantages of each of the methods were identified. The proposed method of analysis and noise reduction was applied to the results of computed tomography lungs screening. Based on the appropriate evaluation metrics, the obtained results were evaluated quantitatively and qualitatively. As a result, the expediency of the proposed algorithm application was proven.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2020, 9, 1; 19--24
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie metody chan-vese w segmentacji obrazów medycznych
Application chan-vese methods in medical image segmentation
Autorzy:
Prokop, P.
Powiązania:
https://bibliotekanauki.pl/articles/408756.pdf
Data publikacji:
2015
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
progowanie
Chan-Vese
przetwarzanie obrazów
tomografia komputerowa
thresholding
image processing
CT
Opis:
W artykule przedstawiono problem wyznaczania krawędzi obiektów zamkniętych w obrazach medycznych CT, które będą podlegały dalszej analizie, na potrzeby diagnostyki medycznej. Zastosowanie przekształcenia, które wprowadza progowanie, pozwala na wyeliminowanie pikseli prezentujących obiekty dla tkanek, które nie podlegają dalszej analizie. Podejście to pozwoliło na wyostrzenie krawędzi obiektów prezentujących tkanki miękkie. Porównano sposób wykrycia krawędzi tkanek miękkich, dla obrazu pierwotnego i przetworzonego za pomocą przekształcenia, z zastosowaniem metody Chan-Vese. Wyostrzenie krawędzi obrazu poprawiło dokładność wykrywania obiektów prezentujących tkanki miękkie.
The article presents the problem of determining the edges of objects enclosed in a medical CT images, which will be subject to further analysis, for the purpose of medical diagnosis. The use of a transformation which introduces two-point thresholding, eliminates presenting pixels of objects for tissues that are not a subject to further analysis. This approach allowed us to sharpen the edges of objects presenting soft tissue. A way to detect the edge of the soft tissue was compared for the original image and processed one using the transformation using the method of Chan-Vese. Sharpening of edges of the image have improved the accuracy of detection of objects presenting the soft tissue.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2015, 4; 32-37
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical and experimental study of the mechanical response of aluminum foams under compressive loading using CT data
Autorzy:
Mohammadi Nasrabadi, A. A.
Hedayati, R.
Sadighi, M.
Powiązania:
https://bibliotekanauki.pl/articles/281633.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
metal foam
image processing
compression test
finite element method
CT scan
Opis:
Metal foams are relatively novel materials that due to excellent mechanical, thermal, and insulation properties have found wide usage in different engineering applications such as energy absorbers, bone substitute implants, sandwich structure cores, etc. In common numerical studies, the mechanical properties of foams are usually introduced to FE models by considering homogenized uniform properties in different parts of a foamy structure. However, in highly irregular foams, due to complex micro-geometry, considering a uniform mechanical property for all portions of the foam leads to inaccurate results. Modeling the micro-architecture of foams enables better following of the mechanisms acting in micro-scale which would lead to more accurate numerical predictions. In this study, static mechanical behavior of several closed-cell foam samples has been simulated and validated against experimental results. The samples were first imaged using a multi-slice CT-Scan device. Subsequently, experimental compression tests were carried out on the samples using a uniaxial compression testing machine. The CT data were then used for creating micro-scale 3D models of the samples. According to the darkness or brightness of the CT images, different densities were assigned to different parts of the micro-scale FE models of the foam samples. Depending on density of the material at a point, the elastic modulus was considered for it. Three different formulas were considered in different simulations for relating the local elastic modulus of the foam material to density of the foam material at that point. ANSYS implicit solver was used for the simulations. Finally, the results of the FE models based on the three formulas were compared to each other and to the experimental results to show the best formula for modeling the closed-cell foams.
Źródło:
Journal of Theoretical and Applied Mechanics; 2016, 54, 4; 1357-1368
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza kształtu struktur anatomicznych jamy brzusznej dla potrzeb radioterapii nowotworu prostaty
Shape analysis of abdominal structures for prostate radiotherapy process
Autorzy:
Skalski, A.
Łągwa, J.
Kędzierawski, P.
Kukołowicz, P.
Powiązania:
https://bibliotekanauki.pl/articles/156980.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
segmentacja
radioterapia
nowotwór prostaty
model organu
tomografia komputerowa
analiza obrazów
image segmentation
radiotherapy
prostate cancer
organ model
CT
image analysis
Opis:
W artykule przedstawiono algorytmy opisu kształtu, które mogą zostać wykorzystane do budowy wiedzy a priori, o którą można wzbogacić metody segmentacji danych medycznych. Opisana metodologia została wykorzystana do analizy kształtu struktur anatomicznych okolicy miednicy. Przeprowadzona analiza pozwoliła sprawdzić zmienność geometrii struktur anatomicznych istotnych z punktu widzenia radioterapii nowotworu prostaty, Zmienność kształtu organów oceniono zarówno: pomiędzy osobami w populacji chorych z nowotworem gruczołu krokowego jak i zmienność tych kształtów podczas procesu radioterapeutycznego u pacjenta.
Prostate cancer is one of most frequently diagnosed cancer diseases among men population, especially in Europe and the USA. The number of fatal cases is also significant. It leads to many attempts to improve processes of the cancer diagnosis and therapy. One of most promising methods of treatment is radiation therapy. However, its proper planning requires contouring of every important structure on every slice obtained from the imaging equipment (in example a CT scanner), which is time-consuming for medical staff. To solve this problem, many efforts are made to construct algorithms of automatic segmentation of organs in 3D data. To provide the expected efficiency of such methods, a base of a priori knowledge about organs to be delineated is desired. In this paper we present shape description algorithms which could be used to collect the a priori knowledge, potentially able to improve the medical data segmentation methods. The described methodology was used in shape analysis of pelvic region structures, important for planning the prostate cancer radiation therapy, which included: GTV (Gross Tumor Volume), rectum, bladder and femoral heads. In this paper 5 different algorithms are presented. The first proposed method describes the shape of the analyzed organ with parameters (semi-axis lengths) of minimum-volume ellipsoid circumscribed on the structure. The other algorithms provide the information about the shape of the analyzedstructure as a distribution of chosen geometric quantity values (such as distance) between the groups of points randomly selected on its surface. The proposed algorithms were tested on the organ models reconstructed from the structures contoured on the images obtained from CT. As a result of the performed analysis, geometrical variability of the considered structures were specified. Variability of shapes of the analyzed organs was examined for the patients from the population group of men with diagnosed prostate cancer as well as for the single patient cases during radiation therapy.
Źródło:
Pomiary Automatyka Kontrola; 2013, R. 59, nr 3, 3; 254-257
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
CT/SPECT image fusion in patients treated with iodine-131
Autorzy:
Psiuk-Maksymowicz, K.
Borys, D.
Gorczewski, K.
Steinhof, K.
d'Amico, A.
Powiązania:
https://bibliotekanauki.pl/articles/333051.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
połączenie obrazu
emisyjna tomografia komputerowa pojedynczego fotonu
image fusion
SPECT-CT overlay
point-based method
Opis:
Computer tomography gives visualization of anatomical structures and abnormalities, but it lacks of functional information. On the other hand, single photon emission tomography provides the missing information about the tumour function, but it has relative low resolution and the localization of the visible focus may be difficult, especially when iodine ¹³¹I is used. Thus, several methods of image fusion are applied. We present an algorithm of image fusion based on affine transformation. On the base of a phantom study, we showed that the created program can be a useful tool to fuse CT and SPECT images and then applied to patients' datasets. External marker method was used to align patient functional and anatomical data. Image alignment quality depends on appropriate marker placement and acquisition protocol. The program estimates maximal misalignment in a volume between the markers. Created acquisition protocol minimizes misalignment of patient placement on both CT and gamma camera, however misalignment derived from respiratory movements cannot be avoided. The proposed technique is simple, low-cost and can be easily adopted in any hospital or diagnostic centre equipped with gamma camera and CT. Fusion of morphology and function can improve diagnostic accuracy in many clinical circumstances.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 8; II7-12
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 15

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