MRI image reconstruction via new K-space sampling scheme based on separable transform

, Article Iranian Conference on Machine Vision and Image Processing, MVIP ; September , 2013 , Pages 127-130 ; 21666776 (ISSN) ; 9781467361842 (ISBN) Oliaiee, A ; Ghaffari, A ; Fatemizadeh, E ; Sharif University of Technology

IEEE Computer Society 2013

Abstract

Reducing the time required for MRI, has taken a lot of attention since its inventions. Compressed sensing (CS) is a relatively new method used a lot to reduce the required time. Usage of ordinary compressed sensing in MRI imaging needs conversion of 2D MRI signal (image) to 1D signal by some techniques. This conversion of the signal from 2D to 1D results in heavy computational burden. In this paper, based on separable transforms, a method is proposed which enables the usage of CS in MRI directly in 2D case. By means of this method, imaging can be done faster and with less computational burden

Ensemble multi-modal brain source localization using theory of evidence

, Article Biomedical Signal Processing and Control ; Volume 69 , 2021 ; 17468094 (ISSN) Oliaiee, A ; Hajipour Sardouie, S ; Shamsollahi, M. B ; Sharif University of Technology

Elsevier Ltd 2021

Abstract

The primary aim in pre-surgical evaluations in patients with neurological disorders such as epilepsy is determining the precise location of the cortical region responsible for the malfunctions which is called source localization. Different modalities unravel different views of brain activity. Combining these complementary aspects of the brain yields more accurate source localization. In this paper, a method is proposed for combining localization methods in different modalities based on the theory of evidence, the result of some localization methods in modalities are integrated using weights in accordance to their relative performance and are combined using Dempster's rule of combination and...

Sustainable-Resilient Supplier Selection Through Fuzzy Multi-Criteria Decision Making Approaches

, M.Sc. Thesis Sharif University of Technology Varchandi, Sahar (Author) ; Akbari Jokar, Mohammad Resa (Supervisor) ; Memari, Ashkan (Co-Supervisor)

Abstract

Today, with the expansion of business relations at international levels, there are many organizations that operate in global supply chains. Activities at such levels face new types of challenges in various fields of "supply chain management" pillars, of which "supplier selection" is one of them. The possibility of unexpected events, the need to comply with environmental protection laws, as well as the need to take into account social considerations, are among the things that have increased by being in larger supply chains, making it challenging to provide the basic resources needed in such chains and forcing their managers to considering considerations other than what they have always...

Multimodal Brain Source Localization

, Ph.D. Dissertation Sharif University of Technology Oliaiee, Ashkan (Author) ; Shamsollahi, Mohammad Bagher (Supervisor) ; Hajipour Sardouei, Sepideh (Supervisor)

Abstract

In most of brain studies, the primary objective is to find dipole activities, an underdetermined problem that requires additional constraints. Adequate constraints can be added by using information from other modalities. This research aims to develop a platform that combines various noninvasive modalities to improve localization accuracy. To accomplish this, two novel general approaches to combining modalities are proposed. In the first approach, the result of localizing by different methods and in different modalities are processed and combined in intervals by Dempster Shaffer's combination law. The final amount of bipolar activity is obtained by cumulating the activities obtained at...