Related Experiment Video
Updated: Jul 11, 2026
11:27
Preparation and In Vitro Characterization of Dendrimer-based Contrast Agents for Magnetic Resonance Imaging
Published on: December 4, 2016
[Method of SNR determination using clinical images]
Akio Ogura1, Tosiaki Miyati, Masato Kobayashi
1Department of Radiology, Kyoto City Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi
|October 6, 2007
Summary
Accurate signal-to-noise ratio (SNR) measurement for parallel magnetic resonance imaging (MRI) is challenging. This study validates subtraction methods using clinical images, finding tissue subtraction effective for specific parallel MRI scans.
Area of Science:
- Medical Imaging
- Biophysics
Context:
- Parallel magnetic resonance imaging (MRI) utilizing sensitivity encoding (SENSE) is prevalent.
- Conventional signal-to-noise ratio (SNR) determination methods are inadequate for parallel MRI.
- Existing novel SNR methods are limited to phantom images, not clinical applications.
Purpose:
- To research accurate measurement of image noise in parallel MRI reconstruction.
- To evaluate the efficacy of subtraction methods and standard deviation (SD) in clinical images for SNR determination.
- To address the limitations of phantom-based SNR measurements in parallel MRI.
Summary:
- Investigated subtraction methods and optimal region of interest (ROI) selection (approx. 50 pixels in uniform signal areas) for clinical parallel MRI noise assessment.
- Found that while ROI selection impacts noise values, the SNR measured was higher than phantom-based methods.
- The tissue-subtraction method proved useful when two clinical scanning images were consistent.
Impact:
- Provides a framework for accurate noise and SNR assessment in clinical parallel MRI.
- Enables more reliable image quality evaluation for parallel MRI techniques.
- Facilitates improved understanding and application of parallel MRI in medical diagnostics.
