Go back
Liver quantification
Patient information
Liver ExamCard including single breath hold 3D mDIXON Quant for non-invasive liver fat quantification of the whole liver with high accuracy (± 3.5%) and reproducibility (± 1.4%)1. And MR Elastography for a non-invasive assessment of differences in tissue stiffness of the liver. Image processing is fully integrated at the scanner with automated calculation of Elastograms, reflecting tissue stiffness in kPa and statistical confidence map for reliability assessment.Gallery
-
T2w TSE (single shot)
![T2w TSE (single shot)]()
-
T2w TSE FatSat
![T2w TSE FatSat]()
-
T2w TSE (single shot)
![T2w TSE (single shot)]()
-
T1w FFE (In Phase)
![T1w FFE (In Phase)]()
-
T1w FFE (Out Phase)
![T1w FFE (Out Phase)]()
-
Diffusion (b0)
![Diffusion (b0)]()
-
Diffusion (b1000)
![Diffusion (b1000)]()
-
Diffusion (ADC)
![Diffusion (ADC)]()
-
mDIXON XD Quant (Water only)
![mDIXON XD Quant (Water only)]()
-
mDIXON XD Quant (Fat only)
![mDIXON XD Quant (Fat only)]()
-
mDIXON XD Quant (Fat Fraction Map)
![mDIXON XD Quant (Fat Fraction Map)]()
-
mDIXON XD Quant (T2* Map)
![mDIXON XD Quant (T2* Map)]()
-
MR Elastography (SE-EPI, 4 slices)
-
MR Elastography (SE-EPI, 4 slices) (Stiffness Map)
![MR Elastography (SE-EPI, 4 slices) (Stiffness Map)]()
-
MR Elastography (SE-EPI, 4 slices) (processing)
![MR Elastography (SE-EPI, 4 slices) (processing)]()
Download ExamCards
Liver quantificationMore Information
- FieldStrength article: Relaxed patients, reduced motion, improved productivity
- White paper: mDIXON XD - The next generation fat free imaging
- Video testimonial: Optimizing MRI workflow and patient comfort - University of British Columbia
- Webinar: Increasing MR Operational Efficiency with 3.0T - RWJ Barnabas Health Ambulatory Care Center
- Webinar: Advancements in 3.0T imaging - Technical University of Munich
- Brochure: Clinical applications
*Accuracy and reproducibility were assessed using a reference liver protocol, on fat phantoms [range: 0-100%]. Reproducibility assessed over systems.
Results from case studies are not predictive of results in other cases. Results in other cases may vary.