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mirzanejad--sahba
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Investigating the Effect of Amino Linker Exchange in the ZIF-8 Metal-Organic Framework on the Loading and Release of 5-FU Drug
, M.Sc. Thesis Sharif University of Technology ; Bagherzadeh, Mojtaba (Supervisor)
Abstract
In this study, the effect of amino linker exchange in ZIF-8 metal-organic frameworks on the loading and release of 5-Fluorouracil was investigated. For this purpose, at first ZIF-8 nanoparticles were synthesized. Then, the Solvent-assisted linker exchange method was utilized to exchange part of 2-methylimidazole linkers with 3-amino-1,2,4-triazole in ZIF-8 structure. Three amine-functionalized ZIF-8 with 22%, 53%, and 74% of Atz exchange were synthesized. The drug was loaded into ZIF-8, ZIF-8A(22%), ZIF-8A(53%) ,and ZIF-8A(74%). The prepared nanocarriers were characterized by Nuclear Magnetic Resonance Spectroscopy (NMR), Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction...
A Study of the Energetics of β-halogenated Alcohols Decomposition on Ni, Cu and Ni-Cu Alloys by the Method of UBI-QEP (Unity Bond Index-Quadratic Exponential Potential)
,
Ph.D. Dissertation
Sharif University of Technology
;
Gobal, Fereydoon
(Supervisor)
Abstract
In this work, Unity Bond Index-Quadratic Exponential Potential (UBI-QEP) method was applied to investigate the decomposition routs of -halo alcohols on Ni(111) and Cu(111) crystallographic planes and Ni2Cu1(111) and Ni1Cu2(111) alloys. UBI-QEP calculates energetics, H and E, along reactions routes using heats of atomic adsorption as empirical inputs and in this way avoids needs to be very specific about every system. The results of analysis of -halo-propanols on Ni and Cu surfaces are in good agreement with experimental findings; namely in the formation of carbon-monoxide, ethylene, water and hydrogen over Ni and propene and water over Cu. Predicted activity of -halo-propanols,...
A robust dual source level set method for three-dimensional echocardiography image segmentation
, Article Journal of Theoretical and Applied Information Technology ; Volume 95, Issue 21 , 2017 , Pages 5701-5710 ; 19928645 (ISSN) ; Fatemizadeh, E ; Behnam, H ; Sharif University of Technology
2017
Abstract
Echocardiography as a common place device has been widely used for diagnosis. Segmentation of left ventricle just using the standard level set formulation based on the magnitude of intensity cannot restrict the contour evolution completely due to the lack of sharp edges. This paper aims to introduce a robust method for segmentation of three-dimensional echocardiography images based on two boundary maps namely distance map and probabilistic map as stopping criteria of contour evolution which are extracted using two different approaches. The distance map is extracted by applying Free Form Deformation (FFD) method on manually determined landmarks of initial spherical volume to register the...
An optimized probabilistic edge based level set method for left ventricle segmentation in echocardiography images
, Article Biomedical Research (India) ; Volume 28, Issue 8 , 2017 , Pages 3788-3793 ; 0970938X (ISSN) ; Fatemizadeh, E ; Behnam, H ; Sharif University of Technology
Scientific Publishers of India
2017
Abstract
In this paper, an efficient approach for ultrasonic object segmentation with special application for left ventricle segmentation in echocardiography images is proposed. At first, an efficient hybrid trend for ultrasonic image edge detection is suggested. Then, a modified level set approach is introduced based on the extracted edges and the computed probabilistic map as the stopping criteria for the contour evolution. Both synthetic and clinical images are utilized as validation measures with respect to the prior techniques which indicate outperform results quantitatively and qualitatively. Left ventricle segmentation using proposed method illustrates expert-approved performance, providing a...
A hybrid fuzzy based algorithm for 3D human airway segmentation
, Article 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, Shanghai, 16 May 2008 through 18 May 2008 ; 2008 , Pages 2295-2298 ; 9781424417483 (ISBN) ; Ahmadian, A ; Sahba, N ; Tavakoli, V ; Alirezaie, J ; Fatemizadeh, E ; Rezaie, N ; Sharif University of Technology
IEEE Computer Society
2008
Abstract
Segmentation of the human airway tree from volumetric computed tomography images is an important stage for many clinical applications such as virtual bronchoscopy. The main challenges of previously developed methods are to deal with two problems namely, leaking into the surrounding lung parenchyma during segmentation and the need to manually adjust the parameters. To overcome these problems, a multi-seeded fuzzy based region growing approach in conjuction with the spatial information of voxels is proposed. Comparison with a commonly used region growing segmentation algorithm shows that the proposed method retrieves more accurate results by achieving the specificity and sensitivity of 98.81%...