MR Advanced Acceleration Technology (AAT) Resource

Disclaimer: the information presented below reflects clinical user experiences shared through the IPEM AAT Task and Finish Group. Members of the IPEM MR AAT Task and Finish Group receive no funding from scanner manufacturers and have no conflicts of interest to declare.


Welcome to the MR Advanced Acceleration Technology (AAT) resource, provided by the IPEM MR AAT Task and Finish Group. This resource provides information and user experience on three MR pulse sequence innovations that are collectively referred to as AAT: compressed sensing (CS), simultaneous multi-slice (SMS), and artificial intelligence (AI). Information and user experience for GE, Philips and Siemens is currently available.

The aims of this resource include:

  • Providing up-to-date information about available MR AAT by manufacturer, across a range of anatomies and pulse sequences. This will be helpful for departments making MR software specification decisions on new or upgraded scanners
  • Providing detailed, concise manufacturer specific information regarding the implementation of AAT on MR scanners, covering where the technology works well, the challenges encountered and any notes, including user tips for deploying each AAT
  • Providing user experiences on the implementation of each technology in relation to their impact on MR image quality and/or patient throughput

The resource is a work in progress and reflects the current level of collated user knowledge and experience in this new and exciting field. The resource will be reviewed and updated regularly as more experience is gathered across the MR community. We warmly welcome contributions from clinical scientist, radiographer, academic and radiologist colleagues who are involved in the deployment of MR AAT.  Please send any experience you believe is suitable for the resource to: and

To use this resource, begin by choosing your MR scanner manufacturer from the first dropdown box. Then choose the specific AAT technique you wish to find out more information about. There are three categories to choose from: simultaneous multi-slice (SMS), compressed sensing (CS) and artificial intelligence (AI). A full glossary of acronyms used in the resource is available below the tables.

The information below is believed to be correct to the best of our knowledge at time of most recent update (June 2023). Users should assess available AAT locally and undertake their own optimisation.



AI – artificial intelligence (vendor netural)

AirReconDL – GE AI technique (GE)

ARC – Auto-calibrating Reconstruction for Cartesian Imaging, parallel imaging method (GE)

ASSET – Array Coil Spatial SensiTivity encoding ,parallel imaging method (GE)

BLADE – Radial acquisition technique to reduce sensitivity to movement (Siemens)

CAIPIRINHA – Controlled Aliasing in Parallel Imaging Results In Higher Acceleration, 3D Parallel imaging method (Siemens)

CS – compressed sensing, method of accelerating signal acquisition via incoherent undersampling and iterative de-noising. Vendor specific: Compressed sensing (Siemens), compressed SENSE (Philips), HyperBand (GE)

CS-AI – compressed SENSE and artificial intelligence, Philips implementation of AI into the CS reconstruction pathway (Philips)

DR – Deep Resolve, Siemens AI umbrella term (Siemens)

DRG – Deep Resolve Gain, Siemens intelligent de-noising technique (Siemens)

DRS – Deep Resolve Sharp, Siemens AI based image resolution enhancement (Siemens)

DRB – Deep Resolve Boost, Siemens Raw data to image deep learning technique, released after DRG, AI based de-noising, unlike DRG (Siemens)

EPI – echo planar imaging, T2* weighted sequenced used for rapid acquisitions in techniques such as DWI and fMRI (vendor neutral)

GRAPPA – GeneRalised Autocalibration Partial Parallel Acquisition, Parallel Imaging (Siemens)

HyperBand – see CS (GE)

HyperSense – see SMS (GE)

MultiBand SENSE – see SMS (Philips)

MultiVANE – Radial acquisition technique to reduce sensitivity to movement (Philips)

NSA/NEX – number of signal averages / number of excitations, number of times the same signal is sampled during an MR acquisition (vendor neutral)

O-MAR – Metal Artefact Reduction for Orthopedic implants (Philips)

PROPELLER – Radial acquisition technique to reduce sensitivity to movement (GE)

RESOLVE – Readout Segmentation Of Long Variable Echo trains, multi-shot technique for DWI (Siemens)

SEMAC – Slice Encoding Metal Artefact Correction, method to reduce the extent of image artefacts due to metal (vendor neutral)

SENSE – SENSitivity Encoding, parallel imaging (Philips)

SMS – simultaneous multi-slice, method of accelerating signal acquisition via acquiring image data from multiple slices at once. Vendor specific: Simultaneous multi-slice (Siemens), MultiBand SENSE (Philips), HyperSense (GE)