RSNA 2014 

Abstract Archives of the RSNA, 2014


MSE149

Overcoming MR Image Quality Problems. A Practical Approach 

Education Exhibits

Presented on November 30, 2014
Presented as part of MSE-SUB: Multisystem/Special Interest Sunday Poster Discussions

Participants

Avneesh Gupta MD, Presenter: Nothing to Disclose
Jorge A. Soto MD, Abstract Co-Author: Nothing to Disclose
Hernan Jara PhD, Abstract Co-Author: Patent holder, qMRI algorithms Research Grant, General Electric Company Royalties, World Scientific Publishing Co

TEACHING POINTS

1. MR image quality is mainly determined by three main factors: signal to noise ratio (SNR), resolution and scan speed. 2. Most MR image quality problems mainly affect one of these three categories, and recognition of the main problem area is the first step in image optimization. 3. Diagnostic quality images may be obtained if compromises to the other two areas may be tolerated. 4. Scanning at 3T allows significant gains in SNR, which then may be reinvested to improve resolution and scan speed.

TABLE OF CONTENTS/OUTLINE

1. Determinants of MR image quality and examples      a. Signal to noise ratio (SNR)      b. Resolution      c. Scan speed 2. How to recognize the main culprit that is causing poor image quality. 3. Determining where compromises can be made and making appropriate changes. 4. Reinvesting signal gains from 3T imaging to improve resolution and scan speed.

PDF UPLOAD

http://abstract.rsna.org/uploads/2014/14003293/14003293_dm4v.pdf

Cite This Abstract

Gupta, A, Soto, J, Jara, H, Overcoming MR Image Quality Problems. A Practical Approach .  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14003293.html