Table 3.
MRI Vendor Implementation and Offline Software for R2*-LIC Estimation.
| MRI Vendor/ Offline Software | Acquisition | Signal Model & Calibration | Outputs & Features | Regulatory approval |
|---|---|---|---|---|
| MRI Vendor Implementation | ||||
| Fat Fraction Quantification (FFQ), Canon Medical Systems (https://global.medical.canon/products/magnetic-resonance/good-to-know#fat) |
3D multi-echo GRE 1.5T/3T: TR: 7.8ms; TE1/ΔTE: 1.2ms/1.0ms; 6 echoes; flip angle: 3–5°; slice thickness: 6–8mm; bandwidth: 1302 Hz/pixel; acquisition time: 20s |
Joint fat-R2* model49 | R2*, PDFF, water, fat, in-phase, out-phase | FDA |
| IDEALIQ, GE HealthCare |
3D multi-echo GRE 1.5T: TR: 9.6ms; TE1/ ΔTE: 0.7ms/0.7ms; 12 echoes; flip angle: 12°; slice thickness: 8mm; FOV: 40×32cm2; matrix: 144×128×32; voxel size: 2.8×3.1×8mm3; acceleration factor: 2; acquisition time: 21.2s 3T: TR: 6ms; TE1/ ΔTE: 0.6ms/0.6ms; flip angle: 9°; 8 echoes; slice thickness: 8mm; FOV: 40×32cm2; matrix: 144×128×32; voxel size: 2.8×3.1×8mm3; acceleration factor: 1.5; acquisition time: 17.3s |
Joint fat-R2* model | R2*, PDFF, water, fat, in-phase, out-phase images, B0 field map | FDA, EMA, NMPA |
| IronQuant, GE HealthCare | Same as IDEALIQ, GE HealthCare | Joint fat-R2* model Hernando29 calibration |
LIC, R2*, PDFF, water, fat, in-phase, out-phase images, B0 field map Inline LIC Map |
Investigational Device |
| mDIXON-Quant Philips |
3D multi-echo GRE 1.5T SENSE: TR: 5.3ms; TE1/ ΔTE: 0.92ms/0.7ms; 6 echoes; flip angle: 5°; slice thickness: 6mm; FOV: 400×350×231mm3; matrix: 132×118×38; reconstructed 192×192×77; voxel size: 3×3×6mm3; reconstruced 2.1×2.1×3mm3; acceleration factor: 2; acquisition Time: 12.1s 3T SENSE: TR: 5.6ms; TE1/ΔTE: 0.97ms/0.7ms; 6 echoes; flip angle: 3°; slice thickness: 6mm; FOV: 400×350×231mm; matrix: 160×140×38; reconstructed 192×192×77; voxel size: 2.5×2.5×6mm; reconstructed: 2.1×2.1×3.0mm; acceleration factor: 2; acquisition time: 15.6s |
Joint fat-R2* model | R2*, T2*, PDFF, water, fat, in-phase, out-phase images, B0 and fit error maps. Compressed SENSE and SmartSpeed reconstruction * B0 and fit error maps are only available via research license. * Liver volume segmentation via the MR Liver Health package. |
FDA, EMA, HSA |
| StarQuant, Philips |
2D multi-echo GRE 1.5T: TR: 15ms, TE1/ ΔTE: 1.12ms/0.8ms; 16 echoes; flip angle: 25°; slice thickness: 5mm; FOV: 350×350mm; matrix: 140×140×10; voxel size: 2.5×2.5×5mm; acceleration factor: 1.5; acquisition time: 14.7s 3.0T: TR: 16ms; TE1/ΔTE: 1.19ms/0.9ms; 16 echoes; flip angle: 25°; slice thickness: 5mm; FOV: 350×350mm; matrix: 176×176×10; voxel size: 2×2×6mm; acceleration factor: 2; acquisition time: 15.1s *No default 3D acquisition protocols are provided |
Monoexponential with noise floor correction | R2*, T2* Compatible with SENSE parallel imaging, Compressed SENSE and SmartSpeed reconstruction |
FDA, EMA, HSA |
| LiverLab, Siemens Healthineers Multi-echo Dixon (“q-dixon”) |
3D multi-echo GRE 1.5T: TR: 9ms; TE1/ ΔTE: 1.1ms/1.19ms; 6 echoes; flip angle: 4°; slice thickness: 3.5mm; matrix: 160×128; Bandwidth: 1100Hz/pixel; acceleration factor: 3; acquisition time: 15s 3T: TR: 9ms; TE1/ ΔTE: 1.1ms/1.23ms; 6 echoes; flip angle: 4°; slice thickness: 3.5mm; matrix: 160×128; Bandwidth: 1100Hz/pixel; acceleration factor: 4; acquisition time: 13s For higher iron levels, 1.5T & 3T: higher Bandwidth (1400Hz/pixel), minimized echo times (TE1/ ΔTE: 0.9ms/1ms), higher flip angle (6°), acceleration factor: 3; acquisition time: 15s. |
Joint fat-R2* model | R2*, PDFF, water, fat, goodness of fit, original echoes User scan assistance, liver segmentation (from separate high-resolution 2pt Dixon scan if available), inline ROI, inline R2* & PDFF report |
FDA |
| LiverLab, Siemens Healthineers Multi-echo Dixon works-in-progress (WIP) package |
3D multi-echo GRE Same as for LiverLab product with modification for higher iron levels Breath-hold 3D Cartesian or free-breathing 3D stack-of-radial |
Joint fat-R2* model Configurable R2*-LIC calibration, signal model adaptations for high R2* |
Additional LIC map & report Radial self-gating |
Research software |
| Offline software: R2*-LIC | ||||
| LiverMultiscan (https://www.perspectum.com/our-products/livermultiscan/, Perspectum Diagnostics, Oxford, UK60,68 |
3D multi-echo GRE TR: 10ms; TE1/ΔTE: 1.1ms/1.0ms; 6 echoes; flip angle: 6°; slice thickness: 10mm; FOV: 35–40cm; matrix:128×128; acquisition time: 15s |
Joint fat-R2* model, *calibration not reported | R2*, PDFF, LIC, iron corrected T1, automated whole liver segmentation Commercial; standalone software |
FDA, EMA, HSA |
| MRQuantif (https://imagemed.univ-rennes1.fr/en), Prof. Yves Gandon, University of Rennes, Rennes, France20,61 |
2D multi-echo GRE (8–10 echoes) preferred Various GRE protocols: (https://imagemed.univ-rennes1.fr/en/mrquantif/protocols.php) |
Eight different signal models to calculate T2* (https://imagemed.univ-rennes1.fr/en/mrquantif/quantif); Calibrations: Anderson, Woods, Hankins, Garbowski, Henninger |
R2*, PDFF, LIC, SIR Non-commercial; standalone software; platform independent; online and desktop versions |
No regulatory approval |
| Parametric MRI (pMRI) https://www.parametricmri.com/
Dmitry Khrichenko, Children’s Hospital of Philadelphia, Philadelphia, PA, USA69,70 |
2D Multi-echo GRE (minimum of 2 echoes) Wood et al. 2005 TR: 25ms; TE1/ΔTE: 0.8ms /0.25ms; 16 echoes; FA: 20°; slice thickness: 15 mm Henninger et al. 2015 2D Multi-echo GRE TR: 200ms; TE1/ΔTE: 0.99ms/1.41ms; 12 echoes; FA: 20°; fat suppression; slice thickness: 10mm |
Monoexponential, monoexponential plus constant offset or bi-exponential; supports truncation; Calibrations: Anderson, Woods, Hankins, Garbowski, Henninger, Hernando (1.5T and 3.0T) |
R2*, LIC, R2, T1, semi-automated whole liver segmentation Non-commercial; standalone software; batch processing |
No regulatory approval |
| http://www.isodense.com/ic, Jose Michel Kalaf Research Institute, Campinas, Brazil71 |
Multi-echo GRE Acquisition parameters not reported |
Monoexponential with truncation; Garbowski calibration |
R2*, LIC Non-commercial; standalone software; online version |
No regulatory approval |
| Offline software: R2* Parametric Maps | ||||
| QLiver or QP-Liver (https://quibim.com/products/qp-liver/), QUIBIM, Valencia, Spain)20,62,63 |
Multi-echo GRE Acquisition parameters not reported |
Joint fat-R2* model, complex fitting | R2*, PDFF, automated whole liver segmentation Commercial; standalone software; |
Approval in Spain |
| MRmap (https://sourceforge.net/projects/mrmap/), Cardiac MRI Unit, Franz-Volhard-Klinik, Charité University Medicine, Berlin, Germany32 |
Multi-echo GRE Acquisition parameters not reported |
Monoexponential; monoexponential plus constant offset | R2*, T2, T1 Non-commercial; standalone software; platform independent |
|
| QMass or QMAP (https://medisimaging.com/software-solutions/medis-suite-mr/), Medis Medical Imaging, Netherland35 |
Multi-echo GRE Acquisition parameters not reported |
Monoexponential | R2*, T2, T1 Commercial; standalone software; automatic contour detection or manual ROI |
FDA |
| CVI42 or CMR42 (https://www.circlecvi.com/cvi42), Circle Cardiovascular Imaging Inc., Calgary, Canada64,65 |
Multi-echo GRE
Acquisition parameters not reported |
Monoexponential; monoexponential plus constant offset; Monoexponential with truncation; Monoexponential with noise floor subtraction. |
T2*, T2 Commercial; standalone software or plugin; can integrate with MRI vendor servers |
FDA |
| CMRtools (Thalassemia Tools), Cardiovascular Imaging Solutions, London, UK64,65,72 |
Multi-echo GRE Acquisition parameters not reported |
Monoexponential | T2* Commercial; standalone software or plugin; |
FDA |
Region(s), regulatory body: United States of America, Food and Drug Administration (FDA); European Union, European Medicine Agency (EMA); Singapore, Health Sciences Authority (HSA); China, National Medical Products Administration (NMPA)