GE’s MR-Touch marks first commercial release of MR elastography
GE Healthcare unveiled at RSNA 2009 a software technique that uses low-frequency sound waves in combination with MRI to measure the elasticity of liver tissue as an indicator of disease.
GE Healthcare unveiled at RSNA 2009 a software technique that uses low-frequency sound waves in combination with MRI to measure the elasticity of liver tissue as an indicator of disease. The technology underlying this new product, called MR-Touch, was developed at the Mayo Clinic in Rochester, MN, and licensed to GE. It extends the principles of physical palpation and MR as a way to evaluate tissue stiffness.
GE is framing MR-Touch as a precise, noninvasive and cost-effective way to detect, monitor, and understand disease. The FDA-cleared technique detects changes in the liver that indicate the presence of disease. It can also be used to monitor disease progression and provide more informed preventive guidance. Perhaps most important, the method supports a comfortable experience for the patient.
MR-Touch will be commercially available as an option to GE's newly released wide-bore 1.5T MR scanner, the Optima MR450w.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
