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Wyszukujesz frazę "alzheimer’s disease" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Character of the relationship with Alzheimer patient and the psychological costs of care
Autorzy:
Wojtyna, Ewa
Popiołek, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/430534.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Alzheimer’s disease
burnout
caregiver burden
depression
Opis:
Alzheimer’s disease is the most common form of dementia. The aim of this study was to determine the dependence between the quality of the caregiver-patient relationship and the psychological costs the caregiver bears during the caregiving period. This study encompassed 292 caregivers (104 partners, 117 children and 71 friends or others persons). The study indicated the greatest level of depression and caregiving-related burdens in the spouses group, and the least in the friends/others group. The most important predictor of the level of burden in the caregiving role turned out to be the nature of the caregiver-patient relationship; however, a varying set of the signifi cance of individual elements of this relationship were indicated in different caregiver groups.
Źródło:
Polish Psychological Bulletin; 2012, 43, 4; 244-252
0079-2993
Pojawia się w:
Polish Psychological Bulletin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative Analysis and Fusion of MRI and PET Images based on Wavelets for Clinical Diagnosis
Autorzy:
Sebastian, Jinu
King, Gnana
Powiązania:
https://bibliotekanauki.pl/articles/2200731.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
MRI
PET
multimodality medical image fusion
wavelet transform
brain tumor
Alzheimer’s disease
YUV color space
Opis:
Nowadays, Medical imaging modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Single Photon Emission Tomography (SPECT), and Computed Tomography (CT) play a crucial role in clinical diagnosis and treatment planning. The images obtained from each of these modalities contain complementary information of the organ imaged. Image fusion algorithms are employed to bring all of this disparate information together into a single image, allowing doctors to diagnose disorders quickly. This paper proposes a novel technique for the fusion of MRI and PET images based on YUV color space and wavelet transform. Quality assessment based on entropy showed that the method can achieve promising results for medical image fusion. The paper has done a comparative analysis of the fusion of MRI and PET images using different wavelet families at various decomposition levels for the detection of brain tumors as well as Alzheimer’s disease. The quality assessment and visual analysis showed that the Dmey wavelet at decomposition level 3 is optimum for the fusion of MRI and PET images. This paper also compared the results of several fusion rules such as average, maximum, and minimum, finding that the maximum fusion rule outperformed the other two.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 867--873
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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