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aghaeizadeh-ghezelghaya--mosa
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Incoherent holographic optical phase conjugation for imaging through a scattering medium
, Article IEEE Transactions on Instrumentation and Measurement ; Volume 70 , 2021 ; 00189456 (ISSN) ; Kavehvash, Z ; Fathi, H ; Aghaeizadeh Ghezelghaya, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
In this article, we present a novel framework based on incoherent holography (IH) and optical phase conjugation (OPC) principle for imaging through scattering media. While many different methods have recently addressed the issue of focusing light inside scattering media or through-scatterer imaging, the majority of them suffer from severe drawbacks, such as demanding for a high-intensity and narrow-bandwidth laser illumination and an extremely stable optical setup in digital holography as the normal disadvantages of interferometry. On the contrary, our proposed framework relaxes the need for interferometry by getting advantage of its IH-based structure. Our newly presented approach for...
Image Reconstruction in Superconducting Bolometric Detector Infra Red Imaging System Based on Physical Optics Principle
, M.Sc. Thesis Sharif University of Technology ; Fardmanesh, Mehdi (Supervisor) ; Kavehvash, Zahra (Co-Supervisor) ; Mirzaei, Eiman (Co-Supervisor)
Abstract
Recently Infrared imaging has been very much considered for its applications.and because the infrared wavelengths are harmless, considered in medical and industrial applications. the imaging system examined in this thesis is passive and the object's own radiation is received by a single-pixel detector, these images are taken by two superconducting sensors and a pyroelectric Sensor. the purpose of this thesis is to improve the quality of images And reconstruction for the resulting images and if possible, optimize the system. to improve this system, various work has been proposed and done. including parabolic mirror distortion survey available in the system and compensated for it, take a...
A novel wavelet based multi-scale statistical shape model-analysis for the liver application: Segmentation and classification
, Article Current Medical Imaging Reviews ; Volume 6, Issue 3 , 2010 , Pages 145-155 ; 15734056 (ISSN) ; Abbaspour Tehrani Fard, A ; Aghaeizadeh Zoroofi, R ; Akhlaghpoor, S ; Chen, Y. W ; Sharif University of Technology
2010
Abstract
Several methods have been proposed to construct Statistical Shape Model (SSM) to aim image analysis using computer in field Computer Aided Diagnosis (CAD), Computer Assisted Surgery (CAS), and other medical applications by providing a prior knowledge. The major challenge for liver shape model is a high variation in geometry such as size, shape and volume between livers. In this paper, we have presented a new technique for the automatic Multi-Scale Statistical Shape Model (MS-SSM) of three-dimensional (3-D) liver from volumetric segmented images data. The procedure included both building of Spherical Harmonics shape description and the Wavelet transform. Principal Component Analysis (PCA) was...