MRI image enhancement using Biot-Savart law at 3 tesla

Date

2017-01-01

Author

Esin, Yunus Emre
Alpaslan, Ferda Nur

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

208
views

0
downloads

Coil sensitivity is considered as the most valuable data in the parallel reconstruction of magnetic resonance imaging (MRI). In this study, a novel coil sensitivity map extraction method is introduced for spatially fixed phased array coils. The proposed technique uses the Biot-Savart law with coil internal shape information and low-resolution phase image data to form sensitivity maps. The performance of this method is tested in a parallel image reconstruction task, using the sensitivity-encoding (SENSE) technique. Under the quasi-static assumption and using the duality principle, we computed the sensitivity maps of a phased-array head coil and reconstructed full FOV images. The experiments show that the resulting image quality is higher in terms of sharpness, artifact level, homogeneity, etc. than existing methods that use sensitivity maps calculated only from low-resolution image data. Moreover, several simulations were conducted using an electromagnetic simulation software tool to theoretically prove the success of the proposed technique. Our simulation results indicate that the success of the method depends heavily on the size of the coil elements. A new method for calculation of sensitivity maps is briefly introduced, which increases image quality and homogeneity while reducing the artifacts.

Subject Keywords

Electrical and Electronic Engineering, General Computer Science

URI

https://hdl.handle.net/11511/46969

Journal

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES

DOI

https://doi.org/10.3906/elk-1604-348

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Fast and accurate semiautomatic haptic segmentation of brain tumor in 3D MRI images Latifi-Navid, Masoud; Bilen, Murat; Konukseven, Erhan İlhan; Doğan, Musa; Altun, Adnan (The Scientific and Technological Research Council of Turkey, 2016-01-01) In this study, a novel virtual reality-based interactive method combined with the application of a graphical processing unit (GPU) is proposed for the semiautomatic segmentation of 3D magnetic resonance imaging (MRI) of the brain. The key point of our approach is to use haptic force feedback guidance for the selection of seed points in a bounded volume with similar intensity and gradient. For the automatic determination of a bounded volume of segmentation in real time, parallel computation on the GPU is use...
Design and implementation of labview based data acquisition and image reconstruction environment for Metu-mrı system Özsüt, Murat Eşref; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2005) Data acquisition and image reconstruction tasks of METU Magnetic Resonance Imaging (MRI) System are used to be performed by a 15 year-old technology. This system is incapable of transmitting control signals simultaneously and has memory limitations. Control software is written mostly in assembly language, which is hard to modify, with very limited user interface functionality, and time consuming. In order to improve the system, a LabVIEW based data acquisition system consisting of a NI-6713 D/A card (to gen...
Room-temperature scanning Hall probe microscope (RT-SHPM) imaging of garnet films using new high-performance InSb sensors Oral, Ahmet; DEDE, M; MASUDA, H; OKAMOTO, A; SHİBASAKİ, I; SANDHU, A (Institute of Electrical and Electronics Engineers (IEEE), 2002-09-01) High-performance InSb micro-HaIl sensors were fabricated by optical lithography and incorporated in a room-temperature scanning Hall probe microscope for imaging of localized magnetic fluctuations in close proximity to the surfaces of crystalline uniaxial garnet films. The room-temperature noise figure of the InSb sensors was 6-10 mG/v/Hz, which is an order of magnitude better than GaAs-AlGaAs two-dimensional electron gas sensors used to date.
Electrical conductivity imaging via contactless measurements Gençer, Nevzat Güneri (Institute of Electrical and Electronics Engineers (IEEE), 1999-07-01) A new imaging modality is introduced to image electrical conductivity of biological tissues via contactless measurements. This modality uses magnetic excitation to induce currents inside the body and measures the magnetic fields of the induced currents. In this study, the mathematical basis of the methodology is analyzed and numerical models are developed to simulate the imaging system. The induced currents are expressed using the (A) over right arrow-phi formulation of the electric field where (A) over rig...
Analysis of magnetic resonance imaging in inhomogenous main magnetic field Arpınar, Volkan Emre; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2009) In this study, analysis of Magnetic Resonance Imaging (MRI) in inhomogeneous main magnetic field is conducted. A numerical model based on Bloch equation is implemented for MRI, to understand effect of inhomogeneous magnetic field to Magnetic Resonance (MR) signal. Using the model, relations between inhomogeneity levels in main magnetic field with energy, decay time, bandwidth of the FID signal is investigated. Also relation between the magnetic field inhomogeneity and field of view is determined. To simulat...

Citation Formats

Y. E. Esin and F. N. Alpaslan, “MRI image enhancement using Biot-Savart law at 3 tesla,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, pp. 3381–3396, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46969.