Signal-to-noise ratio has long been the standard for gauging the performance of MR scanners. Its calculation, however, can be tedious, especially when several scanners are involved.
Signal-to-noise ratio has long been the standard for gauging the performance of MR scanners. Its calculation, however, can be tedious, especially when several scanners are involved.
Medical physicists reported at the Society for Imaging Informatics in Medicine on Saturday that they have developed a semiautomated method for coming up with this measure, as well as a second measure, signal-difference-to-noise ratio.
Randell L. Kruger, Ph.D., a medical physicist at the Marshfield Clinic in Marshfield, WI, reported on the use of an interface definition language-based program developed at the clinic to automate SNR and SDNR measurements. It queries DICOM phantom files, shows DICOM header information, displays the first and seventh axial images, and then quantifies signal and noise in specific areas. Two regions of interest are examined when calculating SDNR. A single ROI is used when calculating SNR.
Kruger and colleagues used the program to assess the performance of 434 scanners made by GE, Philips, Toshiba, Siemens, Picker, Fonar, and Hitachi, breaking the equipment into groups from 0.2T to 0.7T and 1T to 2T. They used the same cylindrical QC phantom indicated for the ACR accreditation program for MR.
Breast MRI and Background Parenchymal Enhancement: What a Meta-Analysis Reveals
May 29th 2025Moderate or marked background parenchymal enhancement (BPE) reduces the sensitivity and specificity of MRI for breast cancer detection by more than 10 percent in comparison to scans with minimal or mild BPE, according to a new meta-analysis.
Can a Six-Minute MRI Facilitate Detection of Multiple Sclerosis?
May 23rd 2025Recognition of the central vein sign with a six-minute MRI demonstrated comparable sensitivity for multiple sclerosis (MS) detection in comparison to oligoclonal band (OCB) assessment, which requires lumbar puncture, according to newly published research.