Measurement of signal-to-noise ratios in MR images: Influence of multichannel coils, parallel imaging, and reconstruction filters
✍ Scribed by Olaf Dietrich; José G. Raya; Scott B. Reeder; Maximilian F. Reiser; Stefan O. Schoenberg
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 561 KB
- Volume
- 26
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Purpose
To evaluate the validity of different approaches to determine the signal‐to‐noise ratio (SNR) in MRI experiments with multi‐element surface coils, parallel imaging, and different reconstruction filters.
Materials and Methods
Four different approaches of SNR calculation were compared in phantom measurements and in vivo based on: 1) the pixel‐by‐pixel standard deviation (SD) in multiple repeated acquisitions; 2) the signal statistics in a difference image; and 3) and 4) the statistics in two separate regions of a single image employing either the mean value or the SD of background noise. Different receiver coil systems (with one and eight channels), acquisitions with and without parallel imaging, and five different reconstruction filters were compared.
Results
Averaged over all phantom measurements, the deviations from the reference value provided by the multiple‐acquisitions method are 2.7% (SD 1.6%) for the difference method, 37.7% (25.9%) for the evaluation of the mean value of background noise, and 34.0% (38.1%) for the evaluation of the SD of background noise.
Conclusion
The conventionally determined SNR based on separate signal and noise regions in a single image will in general not agree with the true SNR measured in images after the application of certain reconstruction filters, multichannel reconstruction, or parallel imaging. J. Magn. Reson. Imaging 2007. © 2007 Wiley‐Liss, Inc.
📜 SIMILAR VOLUMES
## Abstract In this work, two practical methods for the measurement of signal‐to‐noise‐ratio (SNR) performance in parallel imaging are described. Phantoms and human studies were performed with a 32‐channel cardiac coil in the context of ultrafast cardiac CINE imaging at 1.5 T using steady‐state fre
## Abstract The performance of a 16‐channel receive‐only RF coil for brain imaging at 3.0 Tesla was investigated using a custom‐built 16‐channel receiver. Both the image signal‐to‐noise ratio (SNR) and the noise amplification (__g‐__factor) in sensitivity‐encoding (SENSE) parallel imaging applicati
## Abstract ## Purpose To evaluate whether MRI signal and T2\* measurements of lung tissue acquired at ultrashort detection times (tds) can detect emphysematous changes in lungs. ## Materials and Methods MR signal intensity of in vivo mouse lungs was measured at 4.7 T at tds of 0.2 and 0.4 msec