Products/Solutions & AI/quantSynth

quantSynth

Parametric and synthetic MRI, simplified. Generate quantitative MR parametric maps and design custom contrasts from three standard MR sequences, using current or historic data.

StandaloneInside Ocular · Radium Pro
quantSynth · White matter mapDerived, not acquired
Axial brain MR with a colour-coded white matter map derived by quantSynth

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Acquire three sequences. Generate eleven views.

From the same three acquired sequences, quantSynth synthesises standard contrasts and derives tissue maps, slice by slice and pixel by pixel.

Synthesised T1-weighted axial brain MR
T1w
Synthesised T2-weighted axial brain MR
T2w
Synthesised proton-density-weighted axial brain MR
PDw
Synthesised T2 FLAIR axial brain MR
T2 FLAIR
Synthesised T1 FLAIR axial brain MR
T1 FLAIR
Synthesised T1 STIR axial brain MR
T1 STIR
Synthesised double inversion recovery axial brain MR
DIR
White matter map derived from relaxometry
White matter map
Grey matter map derived from relaxometry
Grey matter map
Fat map derived from relaxometry
Fat map
Fusion map combining relaxation channels
Fusion map

Ultra fast, vendor and part agnostic

Built for the scanners you already have.

Speed

Parametric maps in under a second

A browser-based iterative algorithm estimates pixel-wise tissue relaxation times.

Retrospective

Works on historic data

Apply quantSynth to studies already in your archive, as well as new ones.

Vendor-agnostic

Any scanner

Processes images acquired on scanners from different vendors.

Anatomy

Across anatomies*

Works across anatomies and body types.

Custom contrasts

Design your own sequence

Set custom TE, TR and TI to synthesise the contrast you need.

Research

Tissue signatures

Quantitative maps provide a substrate for studying tissue signatures of pathology.

* Subject to acquisition.

Clinical use

Synthetic images are derived from acquired data. Confirm findings on the source images.

quantSynth is a visualisation and quantification tool for trained professionals. It is not FDA-cleared.