Name: Noise in MRI
Creator: Albert Macovski
Keywords: 03 medical and health sciences, 0302 clinical medicine, Humans, Signal Processing, Computer-Assisted, Magnetic Resonance Imaging

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 1996 English Publisher:WileyJournal:Magnetic Resonance in Medicine, volume 36, pages 494-497 (issn: 0740-3194, eissn: 1522-2594,

Authors: Albert Macovski;

doi: 10.1002/mrm.1910360327

pmid: 8875425

Noise in MRI

- Summary
- Subjects
- Metrics

Abstract

AbstractThis study analyzes the signal‐to‐noise ratio (SNR) in magnetic resonance imaging. The factors that determine the SNR are derived starting from basic principles. The SNR, for a given object, is shown to be proportional to the voxel volume and the square root of the acquisition time. The noise generated by the body is derived using a cylindrical model and is shown to be proportional to the square of the radius and the square root of the length.

Related Organizations

Stanford University
United States

Keywords

Humans, Signal Processing, Computer-Assisted, Magnetic Resonance Imaging

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	366
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%