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Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Coil-combined split slice-GRAPPA for simultaneous multi-slice diffusion MRI.

S K HashemizadehKolowri¹, Rong-Rong Chen¹, Ganesh Adluru²

¹Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, United States of America.

Magnetic Resonance Imaging

|November 22, 2019

Summary

This summary is machine-generated.

A new coil-combined split slice-GRAPPA (CC-SSG) method improves simultaneous multi-slice (SMS) diffusion weighted imaging (DWI) by optimizing kernel parameters. This enhances coil-combined image accuracy and diffusion tensor imaging (DTI) map estimation in stroke patients.

Keywords:

Diffusion-weighted imaging Simultaneous multi-slice Slice-GRAPPA Split slice-GRAPPA

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Published on: December 9, 2010

Area of Science:

Magnetic Resonance Imaging (MRI)
Image Reconstruction
Diffusion Weighted Imaging (DWI)

Background:

Simultaneous multi-slice (SMS) imaging accelerates MRI acquisition.
Diffusion weighted imaging (DWI) is crucial for neurological applications.
Accurate coil-combined image reconstruction is vital for DWI analysis.

Purpose of the Study:

To develop and evaluate a novel kernel optimization method, coil-combined split slice-GRAPPA (CC-SSG).
To improve the accuracy of coil-combined images in SMS-DWI.
To assess the impact of CC-SSG on diffusion tensor imaging (DTI) map estimation.

Main Methods:

Developed the CC-SSG method to optimize k-space SSG kernels.
Analyzed intra-slice artifacts and inter-slice leakage for coil combining.
Compared CC-SSG with slice-GRAPPA (SG) and split slice-GRAPPA (SSG) using in-vivo RS-EPI datasets.

Main Results:

CC-SSG demonstrated improved accuracy in reconstructed coil-combined images.
Enhanced accuracy was observed in estimated diffusion tensor imaging (DTI) maps.
CC-SSG provided a better trade-off between intra-slice and inter-slice artifacts compared to SG and SSG.

Conclusions:

CC-SSG effectively balances intra-slice artifacts and inter-slice leakage for root-sum-of-squares (rSOS) coil combining.
The method offers superior reconstruction performance over SG and SSG for rSOS reconstruction.
The optimal artifact trade-off is robust across different SMS data contrasts and coil combining methods.